#Natural Language Generation (NLG) Market share

[artificalblog]

Article about AL and communication:

Artificial Intelligence (AI) is increasingly influencing communication across various domains, revolutionizing how we interact with each other and with machines. From enhancing personal communication to transforming business operations, AI's impact on communication is profound and growing. By leveraging machine learning, natural language processing (NLP), and speech recognition technologies, AI is changing the dynamics of communication, enabling smarter, more efficient interactions.

One of the most prominent ways AI is transforming communication is through the use of chatbots and virtual assistants. These AI-powered tools are now a common feature on websites, customer service platforms, and even mobile devices. Virtual assistants like Amazon’s Alexa, Apple’s Siri, and Google Assistant have revolutionized how we interact with technology by responding to voice commands, answering questions, and performing tasks without the need for human intervention. In the customer service space, AI chatbots are handling a significant portion of inquiries, providing instant responses to frequently asked questions, and even assisting with more complex problems. This has greatly increased efficiency, allowing businesses to communicate with customers in real-time, 24/7, and reducing the burden on human agents.

AI's role in communication goes beyond just text and voice. In the realm of social media, AI is playing a crucial part in how content is curated and shared. Algorithms powered by AI determine what content users see on platforms like Facebook, Twitter, and Instagram, based on their interests, past interactions, and demographic data. By analyzing user behavior, AI can personalize communication, presenting users with content that is most likely to engage them. Additionally, AI helps in content creation, such as generating articles, reports, or even marketing copy. Natural language generation (NLG), a branch of AI, can create human-like text from structured data, saving time and resources in content production.

In the business world, AI is enhancing internal communication by streamlining workflows and facilitating collaboration. Tools like AI-powered email filtering systems can prioritize messages, flagging the most important communications and organizing them accordingly. AI also assists in scheduling meetings, automating routine administrative tasks, and providing smart recommendations for efficient communication practices. Through sentiment analysis, AI can analyze the tone and emotion of written communication, helping organizations assess customer or employee satisfaction and improve responses accordingly.

Moreover, AI-driven speech recognition technology has brought about significant changes in how people communicate in real-time. Automated transcription services, for example, can instantly transcribe spoken content, making meetings, lectures, and interviews more accessible and easier to reference. AI also plays a key role in language translation, allowing for seamless communication across different languages. Tools like Google Translate, powered by AI, have made it possible to break down language barriers and foster global communication in real time, a game-changer in international business and diplomacy.

However, the impact of AI on communication is not without challenges. There are concerns about the potential for AI to reduce human connection and increase reliance on automated systems that may lack the nuance and empathy of human interaction. In customer service, for instance, while chatbots and virtual assistants provide quick answers, they may struggle with complex or emotionally charged situations where human understanding is necessary. Additionally, issues related to privacy and data security arise as AI systems collect and process large amounts of personal data to facilitate communication. Misuse or breaches of this data could have severe consequences.

Furthermore, the ethical implications of AI in communication need careful consideration. The potential for AI-generated content, including deep fakes and misinformation, poses risks to the credibility of communication. Ensuring that AI technologies are used responsibly and transparently is critical to mitigating these challenges.

In conclusion, AI is profoundly reshaping communication, enhancing personal, business, and global interactions through smarter, more efficient tools. Its applications, ranging from chatbots and virtual assistants to speech recognition and translation, are improving the way we connect. However, as AI continues to evolve, it is crucial to balance innovation with ethical considerations, ensuring that these technologies enhance communication without compromising human connection or security. As AI continues to advance, it will undoubtedly unlock new possibilities for how we communicate, both now and in the future.

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Associated Press - Automated Insights

Top Use Cases In Automated Report Writing - Phrazor

Table of ContentsQuickly Generate Custom Branded Reports - Dradis ProSchool Report Writer - Progress Reports In MinutesAutomated Report Generation With Papermill: Part 1 - Practical ...Rubrik As Built Report For Easier, Automated DocumentationYou're Wasting Your Time On Reports. Automate Them. - By Josh ...

As online marketers in 2020, there's one major thing that we share: We're driven by data. Despite whether we're copywriters, social networks supervisors, videographers, or web designers, data is key to assisting us identify which jobs are effective, which methods may require more of a budget plan, and which techniques we need to leave.

Even if you have an analytics software application that tracks a project's traffic, engagements, ROI, and other KPIs, you'll likely still need to take time to organize these numbers, analyze them, and develop an understandable method to report on your tasks to your team or clients. In the past, marketing companies and agencies charged full-timers with reporting-related duties. real time reports.

How report automation can improve your ...dashthis.com

This is an issue that my Cleveland-based marketing company, PR 20/20, encountered a couple of years back. As part of our procedure, we create monthly performance reports for each of our customers. When we create them, we pull the information from HubSpot and Google Analytics. Then, we write a report to explain the data to our colleagues, clients, and job stakeholders.

However, although they were helping our customers, creating them was holding our team back. While our clients found the reports valuable, the procedure of pulling the data, evaluating it, and drafting the reports easily took 5 hours per client, monthly. This took our marketers far from jobs that could have been efficient in the long run, such as brainstorming originalities and methods that could significantly help their customers.

The Robots Cometh: How Artificial Intelligence Is Automating ...

Whenever you're trying to explore or carry out a new strategy, you'll wish to look into the topic thoroughly. For example, you'll wish to acknowledge your spending plan and after that check out software application that suits it. You'll also want to figure out the benefits and drawbacks of any software application you consider. This will assist you better familiarize yourself with the world of AI and which tools can in fact help you.

Prior to choosing that we wished to enhance our reporting technique, we 'd been researching AI through resources at our Marketing AI Institute. The Institute is a media company that intends to make AI more friendly for online marketers. automatic report. Considering that we launched the company, we've released more than 400 short articles on AI in marketing.

2 billion. After learning more about how AI had already structured dozens of marketing-related processes, we chose to explore how automation and artificial intelligence might help us with our clients at PR 20/20. We became obsessed with how smarter innovation might increase profits and reduce costs. In the process, we discovered natural language generation (NLG) innovation that wrote plain English automatically.

You have actually come across NLG anytime you have actually utilized Gmail's Smart Compose feature. Or, when you hear Amazon's Alexa respond to your voice questions. Once we discovered a potentially useful NLG software application, we decided to run an experiment to see if the AI innovation could partially or totally automate our performance report writing procedure.

Ai-generated Reports Are The Write Stuff - Articles - Chief ...

Now, the next action is to search for software that works for your company. Here are a few things you'll need to think about: You'll wish to consider the expense of any of the software application's subscriptions or charges, along with the expense to implement it. For example, you might need to contract or employ an engineer to prepare your data and take any actions to make certain the software works smoothly.

Make certain to comprehend what you'll require to do if something isn't working properly so you do not sustain any emergency situation costs. As a marketer, you won't wish to count on a full-time engineer to use AI software application to run your reports. You'll desire to look for software application that your less tech-savvy staff member can eventually get trained on and discover. real time reports.

As you select software application, you'll also want to find case research studies, reviews, or user reviews that explain how a business used the software to run reports or finish a similar activity. This will give you a concept of if the item you're considering has a great performance history or credibility in the AI software market.

Here are two highly-regarded examples: Domo is an information visualization and reporting tool that integrates with significant data and analytics platforms consisting of Google Analytics. When you connect these platforms, you can use a dashboard to set up and create data visualizations or reports for your clients. These visualizations consist of pie charts, other graphs, and word clouds.

Best Reporting Software 2021 - Reviews Of The Most Popular ...

The platform provides guides on how to produce datasets or spreadsheets that its algorithms will recognize as well as a drag and drop guide which asks you to publish particular info such as "Monthly Budget plan." Here's a fast demonstration that shows Domo in action: This reporting software allows you to produce reports or reporting dashboards that your group and customers can edit and cross-collaborate on.

Regulatory Tracking & Compliance ...bulalaw.com

Aside from data visualizations, you can also add boxes to your control panels that reveal you scorecards that note whether you're hitting your goals or not, along with filters that assist you drill down on specific aspects of your task. Here's a demo discussing how small companies such as nonprofits can take advantage of the software application's control panel reporting functions: No matter which item you choose, you'll likely require to prepare your information in a manner that your software's robot or algorithm could quickly recognize and examine - real-time progress reporting.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

The software application needed structured information in columns and rows to create text. So, first, we had to pull HubSpot and Google Analytics information into spreadsheets. Because doing this manually would take too much time and restrict the potential time saved with automation, we used APIs and built our own algorithm using Google Apps Scripts to pull information into a Google Sheet.

We understood NLG software would be unlikely to handle entirely custom-made reports well. So, we developed a design template for these reports that didn't alter monthly. To produce a format for each report, we identified a set of 12 typical concerns we were attempting to address for customers monthly: How much traffic pertained to your website, and how does that compare to the previous month? Last year? How engaged was last month's website traffic? What were the leading traffic-driving channels? Existed fluctuation in overall traffic, and if so, what caused it? How did the blog perform last month? How engaged was blog traffic? What were the top-performing article? Were there any modifications in blog traffic last month, and if so, what caused them? The number of objectives or brand-new contacts were created last month? What were the top converting pages? Where did objectives or new contacts come from? Existed any change in total goals or lead volume, and if so, what was accountable? A good AI software application will either permit you to create documents or perhaps control panels, as your reports.

Automated Writing - Journalismai.com

As soon as we 'd structured our data and developed a basic report format, we needed to translate our basic report format into an NLG template. The design template was essentially a finished version of an efficiency report. When the NLG software runs, this report gets copied into the NLG software application. Then guidelines are applied to the copy to programmatically update what's written based on the structured information provided.

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Automate Email With Python. Using Python To Automate The ...

Table of ContentsHow Report Automation Can Improve Your Reporting Process ...Bi Vs. Automated Reporting: Which Do You Need? - SisenseAutomated Writing Feedback – Shibani's Blog - Shibani AntonetteAp's 'Robot Journalists' Are Writing Their Own Stories Now - The ...Automated Journalism – Ai Applications At New York Times ...

The last output could be a CSV, Word, or Google Doc file. Even if you're working with a reliable AI software, you'll still want to evaluate it and repair any problems that come to light. This prevents any AI-related incidents from occurring when the tool is actively being used by workers or on tight deadlines.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

And we eventually improved the process to consistently produce clear, accurate automatic efficiency reports. If a software provider that you work with offers a trial or discount for evaluating out their product, take advantage of it. This will allow you to witness first-hand if the expense of the product outweighs its benefits, or provide you time to identify if there is a better product that you ought to be utilizing - real time reports.

When you do this, here are a few things that you'll want to examine: The quantity of time that the software is conserving employees, or if there were any bugs, how much time the software expense. The amount of other efficient or revenue-generating tasks your team had the ability to get made with the extra time you had.

How report automation can improve your ...dashthis.com

As we tracked our new automated efficiency reports, we discovered that our tools took a fraction of the time to produce the exact same report that we took hours to create. Furthermore, the level of information in our client reports is now constant across all accounts. Prior to we implemented AI tools, the reports were just as strong as the account team's convenience level of evaluating marketing performance reports.

Reproducible And Automated Reporting Using Stata

The only manual part of the procedure now involves spot-checking the information for precision, applying some styling, and then sending. automated reporting dashboards. What when took us 5 hours per report now takes 10 minutes. While the original procedure needed to be managed by multiple colleagues, just one employee is required for spot-checking.

Although our team has the ability to access AI suppliers and experts for our in-office experiments, other small company marketers can also make the most of this technique somewhat affordably. Nevertheless, remember that AI execution can require time. For us, we needed to put time into constructing structured datasets, as well as our Report design template so that our AI software might read our analytics and draft reports correctly.

Complete information, faster conclusions, and better decision-making digital-era success depends upon them (automatic work time reports). But a company with a single variation of the truth, spreadsheets filled with precise data, is still a couple of rungs brief of success. One factor: management needs easy-to-digest reports that interpret the numbers. That tends to result in cleaner interpretations and crisper decision-making.

These products drill-down into ab organization's database and auto-produce easy-to-understand, written reports from the same information that Microsoft Excel uses to produce graphics. A few of these fairly new AI tools likewise known as natural language generation, or NLG, software application are variations of the same innovation that assists major media organizations produce computer-written news products.

Ets Research: Automated Scoring Of Writing Quality

Anna Schena, a senior product supervisor at Story Science, another AI-generated writing toolmaker, says that "information storytelling" suggests users don't have to discover how to evaluate spreadsheets or obtain insights from long rows of dashboard dials. "Easy-to-understand language and one-click collaboration features ensure that everyone in a company really understands the information, all the time," Schena states.

States Sharon Daniels, CEO of Arria: "NLG-driven, multi-dimensional stories are the development that [data-generated] visuals were years earlier. The big information problem was partly resolved with the evolution of company intelligence dashboards," she discusses. "But while visuals paint a photo, they're not the total photo." Adds Daniels: "The

[realtimereports]

Creating An Automated Report In Word - Principal Toolbox 9.5

How I Automated My Daily Progress Report As A Software ...

Table of ContentsAutomated Reports - Jotform'Automated Writing': Implications For Digital Communicators ...Automated Journalism – Ai Applications At New York Times ...Quill - Narrative ScienceCan You Tell The Difference Between A Robot And A Stock ...

As online marketers in 2020, there's one significant thing that we share: We're driven by information. Despite whether we're copywriters, social media supervisors, videographers, or web designers, data is key to helping us determine which jobs are successful, which methods may need more of a spending plan, and which methods we need to leave behind.

Even if you have an analytics software application that tracks a campaign's traffic, engagements, ROI, and other KPIs, you'll likely still require to take some time to arrange these numbers, evaluate them, and create a reasonable method to report on your projects to your group or customers. In the past, marketing companies and companies charged full-timers with reporting-related responsibilities. real time reports.

Top use cases in automated report writingphrazor.ai

This is an issue that my Cleveland-based marketing company, PR 20/20, encountered a couple of years back. As part of our procedure, we produce monthly efficiency reports for each of our customers. When we produce them, we pull the information from HubSpot and Google Analytics. Then, we compose a report to describe the information to our colleagues, clients, and task stakeholders.

However, although they were assisting our customers, creating them was holding our team back. While our clients found the reports important, the procedure of pulling the data, examining it, and preparing the reports easily took five hours per customer, per month. This took our marketers far from tasks that might have been productive in the long run, such as conceptualizing new concepts and techniques that could visibly assist their customers.

Automated Reporting With R Markdown

Whenever you're trying to explore or implement a brand-new technique, you'll wish to look into the subject completely. For example, you'll want to recognize your budget and after that look into software application that suits it. You'll likewise wish to determine the advantages and disadvantages of any software you think about. This will help you better acquaint yourself with the world of AI and which tools can actually help you.

Prior to choosing that we desired to improve our reporting method, we 'd been researching AI through resources at our Marketing AI Institute. The Institute is a media company that aims to make AI more friendly for online marketers. time reports. Because we launched the business, we have actually published more than 400 short articles on AI in marketing.

2 billion. After learning about how AI had already streamlined lots of marketing-related procedures, we chose to explore how automation and expert system could help us with our clients at PR 20/20. We ended up being consumed with how smarter technology could increase earnings and lower costs. While doing so, we discovered natural language generation (NLG) innovation that wrote plain English automatically.

You've encountered NLG anytime you have actually used Gmail's Smart Compose function. Or, when you hear Amazon's Alexa react to your voice inquiries. As soon as we discovered a possibly practical NLG software, we decided to run an experiment to see if the AI technology might partly or fully automate our efficiency report writing procedure.

Dream Report For Hmi Panels - Automated Data Collection ...

Now, the next action is to browse for software that works for your company. Here are a couple of things you'll need to consider: You'll want to consider the expense of any of the software application's memberships or costs, as well as the cost to implement it. For example, you might require to contract or employ an engineer to prepare your information and take any actions to ensure the software works smoothly.

Make certain to comprehend what you'll require to do if something isn't working effectively so you do not sustain any emergency costs. As a marketer, you will not want to rely on a full-time engineer to utilize AI software application to run your reports. You'll wish to purchase software that your less tech-savvy staff member can ultimately get trained on and discover. time reports.

As you select software, you'll likewise want to locate case research studies, reviews, or user testimonials that explain how a company used the software to run reports or complete a similar activity. This will provide you an idea of if the item you're considering has a good track record or credibility in the AI software application industry.

Here are two highly-regarded examples: Domo is a data visualization and reporting tool that integrates with significant data and analytics platforms including Google Analytics. When you link these platforms, you can use a control panel to set up and generate data visualizations or reports for your customers. These visualizations include pie charts, other graphs, and word clouds.

Manual Reports Vs. Report Automation & Scheduling Tools

The platform offers guides on how to produce datasets or spreadsheets that its algorithms will recognize as well as a drag and drop guide which asks you to submit specific info such as "Monthly Budget plan." Here's a quick demo that shows Domo in action: This reporting software application permits you to generate reports or reporting control panels that your group and clients can edit and cross-collaborate on.

Sales Reporting 101: Here's Everything ...propellercrm.com

Aside from data visualizations, you can likewise include boxes to your control panels that reveal you scorecards that note whether you're hitting your goals or not, in addition to filters that assist you drill down on particular aspects of your task. Here's a demo explaining how small companies such as nonprofits can take advantage of the software application's dashboard reporting features: Despite which product you pick, you'll likely require to prepare your data in a manner that your software application's robotic or algorithm could quickly acknowledge and analyze - automatic report.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

The software application needed structured information in columns and rows to generate text. So, first, we had to pull HubSpot and Google Analytics information into spreadsheets. Because doing this manually would take excessive time and limit the potential time conserved with automation, we utilized APIs and constructed our own algorithm using Google Apps Scripts to pull information into a Google Sheet.

We understood NLG software application would be unlikely to deal with entirely custom-made reports well. So, we developed a design template for these reports that didn't alter every month. To produce a format for each report, we determined a set of 12 common questions we were trying to address for clients monthly: Just how much traffic concerned your site, and how does that compare to the previous month? In 2015? How engaged was last month's site traffic? What were the top traffic-driving channels? Was there fluctuation in general traffic, and if so, what caused it? How did the blog site carry out last month? How engaged was blog site traffic? What were the top-performing article? Were there any modifications in blog traffic last month, and if so, what triggered them? The number of objectives or new contacts were generated last month? What were the top transforming pages? Where did objectives or brand-new contacts originate? Was there any modification in overall goals or lead volume, and if so, what was responsible? A great AI software will either permit you to develop files or even dashboards, as your reports.

04 Instant Asbestos Survey Report In Your Format - Start Software

When we 'd structured our data and developed a basic report format, we had to translate our basic report format into an NLG template. The design template was basically a completed version of an efficiency report. When the NLG software runs, this report gets copied into the NLG software application. Then rules are applied to the copy to programmatically update what's written based upon the structured data offered.

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The last output might be a CSV, Word, or Google Doc file. Even if you're working with a trustworthy AI software, you'll still want to check it and fix any problems that emerge. This avoids any AI-related occurrences from happening when the tool is actively being utilized by workers or on tight deadlines.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

And we ultimately perfected the process to regularly produce clear, precise automated efficiency reports. If a software application company that you work with deals a trial or discount rate for testing out their product, leverage it. This will permit you to witness first-hand if the expense of the item outweighs its advantages, or give you time to determine if there is a preferable item that you need to be utilizing - time reports.

When you do this, here are a couple of things that you'll wish to examine: The amount of time that the software is saving workers, or if there were any bugs, just how much time the software application cost. The amount of other efficient or revenue-generating tasks your group was able to get done with the extra time you had.

Sales Reporting 101: Here's Everything ...propellercrm.com

As we tracked our brand-new automated efficiency reports, we discovered that our tools took a portion of the time to produce the very same report that we took hours to create. Furthermore, the level of information in our client reports is now constant throughout all accounts. Prior to we carried out AI tools, the reports were only as strong as the account team's convenience level of analyzing marketing efficiency reports.

Study Report Writer - Synchrogenix

The only handbook part of the process now involves spot-checking the data for precision, applying some styling, and after that sending out. real-time progress reporting. What when took us five hours per report now takes 10 minutes. While the original process needed to be managed by multiple teammates, only one employee is needed for spot-checking.

Although our team has the ability to gain access to AI companies and specialists for our in-office experiments, other little service online marketers can likewise benefit from this strategy rather economically. Nevertheless, bear in mind that AI execution can take some time. For us, we required to put time into developing structured datasets, along with our Report design template so that our AI software application could read our analytics and draft reports correctly.

Complete info, faster conclusions, and much better decision-making digital-era success hinges on them (automatic reporting). However an organization with a single version of the reality, spreadsheets filled with accurate information, is still a couple of rungs brief of success. One reason: management needs easy-to-digest reports that translate the numbers. That tends to lead to cleaner interpretations and crisper decision-making.

These items drill-down into ab organization's database and auto-produce easy-to-understand, written reports from the very same information that Microsoft Excel utilizes to create graphics. Some of these relatively brand-new AI tools also known as natural language generation, or NLG, software application are variations of the exact same technology that helps major media companies produce computer-written news products.

Top Use Cases In Automated Report Writing - Phrazor

Anna Schena, a senior item manager at Story Science, another AI-generated composing toolmaker, states that "data storytelling" indicates users do not have to discover how to evaluate spreadsheets or glean insights from long rows of control panel dials. "Easy-to-understand language and one-click cooperation features ensure that everybody in a business really comprehends the data, all the time," Schena says.

States Sharon Daniels, CEO of Arria: "NLG-driven, multi-dimensional stories are the advancement that [data-generated] visuals were years back. The big data issue was partially addressed with the development of organization intelligence dashboards," she discusses. "However while visuals paint a picture, they're not the complete image." Adds Daniels: "The ability to gain access to key details in near real-time communicated as if written

[automaticworktimereports]

Quill - Narrative Science

Ets Research: Automated Scoring Of Writing Quality

Table of ContentsAssociated Press - Automated InsightsAutomated Reporting Software & Tools: Report Automation ToolAutomated Journalism - WikipediaAutomated Report Generation With Papermill: Part 1 - Practical ...Automated Generation Of Clinical Study Reports Using Sas ...

As marketers in 2020, there's one significant thing that we share: We're driven by data. No matter whether we're copywriters, social media managers, videographers, or web designers, information is crucial to assisting us figure out which jobs are effective, which methods might require more of a budget plan, and which methods we need to leave behind.

Even if you have an analytics software that tracks a project's traffic, engagements, ROI, and other KPIs, you'll likely still require to take some time to arrange these numbers, evaluate them, and develop an understandable way to report on your tasks to your group or clients. In the past, marketing companies and companies entrusted full-timers with reporting-related duties. automate dashboard.

Best Reporting Tools & Software Of 2021 ...thedigitalprojectmanager.com

This is an issue that my Cleveland-based marketing firm, PR 20/20, ran into a few years back. As part of our process, we develop monthly efficiency reports for each of our customers. When we produce them, we pull the data from HubSpot and Google Analytics. Then, we compose a report to describe the data to our colleagues, customers, and project stakeholders.

However, although they were assisting our clients, creating them was holding our group back. While our clients found the reports valuable, the process of pulling the data, examining it, and drafting the reports easily took 5 hours per client, monthly. This took our online marketers away from jobs that could have been productive in the long run, such as brainstorming originalities and strategies that could noticeably assist their customers.

Automated Journalism – Ai Applications At New York Times ...

Whenever you're trying to try out or implement a new strategy, you'll desire to investigate the subject thoroughly. For example, you'll wish to recognize your spending plan and after that check out software that fits into it. You'll also desire to identify the pros and cons of any software application you consider. This will help you much better familiarize yourself with the world of AI and which tools can actually assist you.

Prior to deciding that we wished to streamline our reporting technique, we 'd been researching AI through resources at our Marketing AI Institute. The Institute is a media company that intends to make AI more approachable for marketers. real-time progress reporting. Given that we released the business, we've released more than 400 posts on AI in marketing.

2 billion. After learning more about how AI had already streamlined lots of marketing-related procedures, we decided to explore how automation and artificial intelligence could assist us with our clients at PR 20/20. We ended up being obsessed with how smarter technology could increase revenue and reduce costs. At the same time, we found natural language generation (NLG) technology that wrote plain English automatically.

You have actually experienced NLG anytime you've utilized Gmail's Smart Compose feature. Or, when you hear Amazon's Alexa react to your voice questions. Once we discovered a possibly useful NLG software, we chose to run an experiment to see if the AI technology could partially or totally automate our efficiency report composing process.

'Automated Writing': Implications For Digital Communicators ...

Now, the next step is to look for software application that works for your service. Here are a couple of things you'll need to think about: You'll want to consider the cost of any of the software application's memberships or charges, in addition to the expense to implement it. For example, you might need to contract or hire an engineer to prepare your information and take any steps to ensure the software application works smoothly.

Be sure to comprehend what you'll need to do if something isn't working correctly so you do not incur any emergency expenses. As an online marketer, you will not wish to depend on a full-time engineer to use AI software application to run your reports. You'll wish to purchase software application that your less tech-savvy staff member can eventually get trained on and discover. automated reporting dashboards.

As you choose software, you'll also desire to track down case research studies, reviews, or user testimonials that explain how a business utilized the software to run reports or finish a similar activity. This will provide you a concept of if the item you're thinking about has a good track record or credibility in the AI software application market.

Here are two highly-regarded examples: Domo is a data visualization and reporting tool that integrates with major information and analytics platforms consisting of Google Analytics. When you link these platforms, you can utilize a dashboard to set up and generate information visualizations or reports for your clients. These visualizations include pie charts, other graphs, and word clouds.

Vphrase - Get Insights From Your Data In Natural Language

The platform provides guides on how to develop datasets or spreadsheets that its algorithms will acknowledge as well as a drag and drop guide which asks you to publish specific details such as "Regular monthly Spending plan." Here's a quick demo that shows Domo in action: This reporting software permits you to produce reports or reporting dashboards that your group and customers can edit and cross-collaborate on.

reporting tools ...opensource.com

Aside from data visualizations, you can likewise add boxes to your dashboards that show you scorecards that note whether you're striking your goals or not, in addition to filters that help you drill down on specific elements of your project. Here's a demonstration discussing how small businesses such as nonprofits can take advantage of the software application's control panel reporting features: No matter which product you choose, you'll likely require to prepare your information in a way that your software's robot or algorithm could easily recognize and evaluate - automatic report.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

The software application needed structured information in columns and rows to generate text. So, initially, we needed to pull HubSpot and Google Analytics information into spreadsheets. Due to the fact that doing this manually would take too much time and limit the prospective time saved with automation, we utilized APIs and constructed our own algorithm utilizing Google Apps Scripts to pull data into a Google Sheet.

We knew NLG software would be unlikely to deal with completely customized reports well. So, we developed a design template for these reports that didn't change each month. To develop a format for each report, we identified a set of 12 typical questions we were trying to respond to for clients each month: How much traffic concerned your site, and how does that compare to the previous month? In 2015? How engaged was last month's website traffic? What were the top traffic-driving channels? Was there fluctuation in general traffic, and if so, what caused it? How did the blog carry out last month? How engaged was blog traffic? What were the top-performing post? Existed any modifications in blog site traffic last month, and if so, what caused them? The number of goals or new contacts were generated last month? What were the leading transforming pages? Where did objectives or new contacts come from? Was there any change in overall objectives or lead volume, and if so, what was accountable? A good AI software application will either allow you to produce files or even dashboards, as your reports.

Automated Writing Evaluation - Excelsior College Owl

As soon as we 'd structured our information and established a standard report format, we needed to translate our standard report format into an NLG design template. The design template was basically a completed variation of a performance report. When the NLG software runs, this report gets copied into the NLG software. Then guidelines are applied to the copy to programmatically upgrade what's written based on the structured information offered.

------------[ 1 ]------------

Automated Reports - Jotform

Table of ContentsHow Report Automation Can Improve Your Reporting Process ...Automated Content: Can Algorithms Write Your Content For You?Automated Reports And Dashboards In R - Nandeshwar.infoSitekick - Automated Client ReportsReproducible And Automated Reporting Using Stata

The final output could be a CSV, Word, or Google Doc file. Even if you're dealing with a credible AI software application, you'll still wish to evaluate it and troubleshoot any concerns that emerge. This prevents any AI-related occurrences from happening when the tool is actively being utilized by workers or on tight due dates.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

And we eventually perfected the process to regularly produce clear, accurate automatic performance reports. If a software service provider that you work with offers a trial or discount for evaluating out their item, leverage it. This will permit you to witness first-hand if the cost of the product exceeds its benefits, or provide you time to recognize if there is a better product that you ought to be using - automatic dashboard.

When you do this, here are a few things that you'll desire to examine: The quantity of time that the software is conserving employees, or if there were any bugs, just how much time the software cost. The amount of other efficient or revenue-generating tasks your team had the ability to get made with the extra time you had.

Regulatory Tracking & Compliance ...bulalaw.com

As we tracked our brand-new automated efficiency reports, we found that our tools took a portion of the time to produce the exact same report that we took hours to produce. Furthermore, the level of detail in our client reports is now constant throughout all accounts. Prior to we implemented AI tools, the reports were just as strong as the account team's comfort level of evaluating marketing performance reports.

Associated Press - Automated Insights

The only handbook part of the procedure now involves spot-checking the data for accuracy, applying some styling, and then sending. time reports. What when took us five hours per report now takes 10 minutes. While the initial process required to be handled by numerous teammates, just one employee is needed for spot-checking.

Although our group has the ability to gain access to AI providers and professionals for our in-office experiments, other small company online marketers can likewise take benefit of this technique rather economically. Nevertheless, bear in mind that AI execution can take some time. For us, we needed to put time into building structured datasets, in addition to our Report template so that our AI software application could read our analytics and draft reports appropriately.

Total information, faster conclusions, and much better decision-making digital-era success hinges on them (real-time progress reporting). But a company with a single variation of the truth, spreadsheets filled with accurate data, is still a few rungs brief of success. One reason: management requires easy-to-digest reports that interpret the numbers. That tends to lead to cleaner analyses and crisper decision-making.

These products drill-down into ab company's database and auto-produce easy-to-understand, written reports from the same data that Microsoft Excel uses to produce graphics. A few of these fairly new AI tools also known as natural language generation, or NLG, software are variations of the same innovation that assists significant media companies produce computer-written news items.

Automated Reporting With R Markdown

Anna Schena, a senior product manager at Story Science, another AI-generated writing toolmaker, says that "data storytelling" implies users don't have to learn how to evaluate spreadsheets or glean insights from long rows of dashboard dials. "Easy-to-understand language and one-click collaboration functions make sure that everybody in a business in fact comprehends the data, all the time," Schena states.

States Sharon Daniels, CEO of Arria: "NLG-driven, multi-dimensional stories are the development that [data-generated] visuals were years earlier. The big information issue was partly addressed with the advancement of service intelligence dashboards," she discusses. "But while visuals paint an image, they're not the total picture." Includes Daniels: "The ability to gain access to essential details in near real-time interacted as if composed by the business's leading expert, without predisposition, at an NLG writing-speed is truly astonishing - automated report writing." Deep inside analytics departments, NLG tools are getting traction.

Heitzman utilized AI-generated writing software application from Arria NLG to punch-up reports containing the graphics rendered by his propriety service intelligence (BI) software application. "We've developed narratives on enormous amounts of data to be able to immediately and clearly articulate the marketing worth we're giving our clients," Heitzman states. "The [Arria NLG] platform has actually dramatically reduced the amount of time and effort to discover insights." Brian O'Connor, lead director, advanced analytics international service services at biopharmaceutical giant AstraZeneca, boosted the graphics produced by Microsoft's Power BI.

Meanwhile, chip goliath Nvidia is enhancing its Tableau control panel with Automated Insights: "Automated Insights' Wordsmith has actually entirely changed how our group interacts with Tableau," says LaSandra Brill, head of digital planning and insights at Nvidia. "We can now ask the most essential questions straight within Tableau and receive real-time analysis from Wordsmith." IT options service provider Macrocomm includes story to its analytics program's output also: "By adding narratives to Eureka, we can produce summary findings in several languages that can be shared with stakeholders at a speed and scale not formerly possible," says Vinny Perumal, a handling director in the compnay's energies department.

Implementing Automated Reporting Solutions – What To ...

[howtocreatekpireport]

Automated Reporting: Liberate You From Repetition Work

Robot-writing Increased Ap's Earnings Stories By Tenfold ...

Table of ContentsReproducible And Automated Reporting Using StataReuters Uses Ai To Prototype First Ever Automated Video ...What Is Automated Storytelling? A Definition From Whatis.comAutomated Reports – Dr. Sonia CooperWritetolearn - A Web-based Ai-automated Writing Scoring ...

As online marketers in 2020, there's one major thing that we share: We're driven by information. No matter whether we're copywriters, social networks supervisors, videographers, or web designers, information is key to helping us figure out which projects achieve success, which strategies may need more of a spending plan, and which tactics we need to leave behind.

Even if you have an analytics software that tracks a campaign's traffic, engagements, ROI, and other KPIs, you'll likely still need to take time to organize these numbers, examine them, and come up with a reasonable method to report on your projects to your team or customers. In the past, marketing firms and agencies tasked full-timers with reporting-related responsibilities. automatic dashboard.

How report automation can improve your ...dashthis.com

This is an issue that my Cleveland-based marketing company, PR 20/20, faced a few years back. As part of our process, we develop month-to-month efficiency reports for each of our customers. When we create them, we pull the data from HubSpot and Google Analytics. Then, we compose a report to explain the data to our associates, customers, and job stakeholders.

However, although they were assisting our clients, creating them was holding our group back. While our customers found the reports valuable, the procedure of pulling the information, analyzing it, and drafting the reports easily took five hours per client, monthly. This took our online marketers far from jobs that might have been efficient in the long run, such as conceptualizing originalities and techniques that might significantly assist their clients.

Automatic Reporting Tools - Blog - Whatagraph

Whenever you're attempting to try out or implement a brand-new strategy, you'll want to investigate the topic completely. For example, you'll wish to acknowledge your spending plan and after that check out software application that fits into it. You'll also wish to figure out the pros and cons of any software you consider. This will assist you better acquaint yourself with the world of AI and which tools can really assist you.

Prior to choosing that we wished to streamline our reporting method, we 'd been looking into AI through resources at our Marketing AI Institute. The Institute is a media business that aims to make AI more approachable for marketers. how to create kpi report. Because we launched the company, we have actually released more than 400 posts on AI in marketing.

2 billion. After discovering how AI had currently structured lots of marketing-related processes, we chose to explore how automation and expert system could help us with our customers at PR 20/20. We ended up being consumed with how smarter technology might increase earnings and lower costs. At the same time, we discovered natural language generation (NLG) innovation that wrote plain English automatically.

You've come across NLG anytime you have actually used Gmail's Smart Compose function. Or, when you hear Amazon's Alexa respond to your voice queries. As soon as we discovered a potentially helpful NLG software, we chose to run an experiment to see if the AI technology could partly or completely automate our performance report writing process.

Quickly Generate Custom Branded Reports - Dradis Pro

Now, the next step is to look for software application that works for your organization. Here are a few things you'll need to consider: You'll wish to consider the expense of any of the software application's memberships or costs, in addition to the cost to execute it. For instance, you might require to agreement or work with an engineer to prepare your data and take any actions to make sure the software application works efficiently.

Make certain to understand what you'll require to do if something isn't working effectively so you do not sustain any emergency situation costs. As an online marketer, you will not want to depend on a full-time engineer to use AI software to run your reports. You'll wish to purchase software that your less tech-savvy group members can eventually get trained on and learn. automate dashboard.

As you choose software, you'll also want to locate case studies, evaluations, or user reviews that describe how a company utilized the software to run reports or complete a similar activity. This will provide you a concept of if the product you're thinking about has an excellent track record or reliability in the AI software application industry.

Here are 2 highly-regarded examples: Domo is an information visualization and reporting tool that integrates with major information and analytics platforms including Google Analytics. Once you link these platforms, you can utilize a control panel to establish and generate data visualizations or reports for your clients. These visualizations include pie charts, other graphs, and word clouds.

Creating An Automated Report In Word - Principal Toolbox 9.5

The platform uses guides on how to produce datasets or spreadsheets that its algorithms will acknowledge as well as a drag and drop guide which asks you to upload particular info such as "Regular monthly Budget plan." Here's a fast demonstration that shows Domo in action: This reporting software allows you to generate reports or reporting control panels that your group and customers can edit and cross-collaborate on.

Past Webinars Arria NLGarria.com

Aside from data visualizations, you can likewise include boxes to your dashboards that show you scorecards that keep in mind whether you're hitting your objectives or not, as well as filters that help you drill down on specific elements of your project. Here's a demonstration explaining how small companies such as nonprofits can benefit from the software's control panel reporting features: Regardless of which product you pick, you'll likely require to prepare your data in a manner that your software's robot or algorithm might quickly recognize and evaluate - real-time progress reporting.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

The software required structured information in columns and rows to produce text. So, first, we needed to pull HubSpot and Google Analytics information into spreadsheets. Because doing this manually would take excessive time and limit the possible time conserved with automation, we used APIs and constructed our own algorithm using Google Apps Scripts to pull information into a Google Sheet.

We knew NLG software application would be not likely to deal with totally custom-made reports well. So, we produced a template for these reports that didn't change every month. To create a format for each report, we identified a set of 12 typical concerns we were trying to respond to for clients each month: Just how much traffic concerned your website, and how does that compare to the previous month? In 2015? How engaged was last month's site traffic? What were the leading traffic-driving channels? Was there variation in general traffic, and if so, what triggered it? How did the blog perform last month? How engaged was blog traffic? What were the top-performing blog site posts? Were there any modifications in blog site traffic last month, and if so, what caused them? How numerous goals or new contacts were generated last month? What were the leading transforming pages? Where did goals or brand-new contacts originate? Was there any modification in total objectives or lead volume, and if so, what was accountable? A great AI software will either allow you to produce documents and even control panels, as your reports.

Implementing Automated Reporting Solutions – What To ...

When we 'd structured our information and established a basic report format, we needed to equate our standard report format into an NLG template. The design template was basically a completed variation of an efficiency report. When the NLG software application runs, this report gets copied into the NLG software. Then rules are applied to the copy to programmatically upgrade what's composed based on the structured information supplied.

------------[ 1 ]------------

Automate Email With Python. Using Python To Automate The ...

Table of ContentsRubrik As Built Report For Easier, Automated DocumentationGuide To Automated Journalism - Academic CommonsHow To Automate 70% Of Your Management Reporting ...5 Ways To Simplify Your Automated Test Cases - TechbeaconAutomated Reporting Systems & Tools To Boost Your Business

The last output might be a CSV, Word, or Google Doc file. Even if you're dealing with a credible AI software application, you'll still desire to test it and troubleshoot any concerns that emerge. This avoids any AI-related events from taking place when the tool is actively being used by employees or on tight deadlines.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

And we ultimately refined the procedure to regularly produce clear, accurate automated efficiency reports. If a software company that you deal with deals a trial or discount rate for testing out their item, take advantage of it. This will enable you to witness first-hand if the cost of the product surpasses its advantages, or offer you time to determine if there is a more suitable item that you should be utilizing - automate dashboard.

When you do this, here are a few things that you'll want to examine: The quantity of time that the software application is saving workers, or if there were any bugs, just how much time the software cost. The quantity of other efficient or revenue-generating jobs your team was able to get finished with the additional time you had.

Write an Effective Test Summary Report ...softwaretestinghelp.com

As we tracked our new automated performance reports, we found that our tools took a fraction of the time to produce the same report that we took hours to produce. Furthermore, the level of information in our customer reports is now consistent across all accounts. Before we implemented AI tools, the reports were only as strong as the account team's convenience level of examining marketing performance reports.

Automated Reporting Systems & Tools To Boost Your Business

The only handbook part of the procedure now involves spot-checking the information for accuracy, using some styling, and then sending. automatic reports. What as soon as took us five hours per report now takes 10 minutes. While the original procedure needed to be managed by multiple colleagues, just one employee is required for spot-checking.

Although our team is able to access AI providers and professionals for our in-office experiments, other small company online marketers can likewise benefit from this strategy somewhat economically. However, bear in mind that AI execution can take some time. For us, we needed to put time into building structured datasets, in addition to our Report template so that our AI software application could read our analytics and draft reports appropriately.

Complete details, faster conclusions, and much better decision-making digital-era success depends upon them (automatic report). However an organization with a single version of the fact, spreadsheets filled with precise information, is still a couple of rungs brief of success. One factor: management needs easy-to-digest reports that interpret the numbers. That tends to lead to cleaner analyses and crisper decision-making.

These items drill-down into ab organization's database and auto-produce easy-to-understand, written reports from the very same information that Microsoft Excel uses to generate graphics. A few of these reasonably new AI tools likewise called natural language generation, or NLG, software application are variations of the same innovation that helps significant media companies produce computer-written news items.

Automated Journalism – Ai Applications At New York Times ...

Anna Schena, a senior item manager at Narrative Science, another AI-generated composing toolmaker, says that "data storytelling" suggests users don't have to discover how to examine spreadsheets or glean insights from long rows of control panel dials. "Easy-to-understand language and one-click partnership functions guarantee that everyone in a company in fact understands the data, all the time," Schena states.

States Sharon Daniels, CEO of Arria: "NLG-driven, multi-dimensional stories are the breakthrough that [data-generated] visuals were years back. The huge information issue was partially addressed with the development of business intelligence control panels," she describes. "But while visuals paint a picture, they're not the complete photo." Includes Daniels: "The ability to gain access to crucial

[automatedreportwriting]

Guide To Automated Journalism - Academic Commons

Implementing Automated Reporting Solutions – What To ...

Table of ContentsSchool Report Writer - Progress Reports In MinutesAutomated Reporting With R MarkdownDawn Of The Intelligently Automated Agency - Pr 20/20Understanding The Automated Report - Cove.tool Help CenterTurn Data Into Visuals: 24 Apps That Generate Reports And ...

As online marketers in 2020, there's one significant thing that we share: We're driven by data. No matter whether we're copywriters, social networks managers, videographers, or web designers, information is essential to assisting us determine which projects are successful, which techniques might require more of a budget, and which strategies we require to leave behind.

Even if you have an analytics software application that tracks a project's traffic, engagements, ROI, and other KPIs, you'll likely still need to take some time to arrange these numbers, analyze them, and come up with a reasonable way to report on your tasks to your team or customers. In the past, marketing firms and companies tasked full-timers with reporting-related responsibilities. automatic dashboard.

Client and Portfolio Reporting FactSetfactset.com

This is a problem that my Cleveland-based marketing firm, PR 20/20, encountered a couple of years earlier. As part of our process, we produce monthly efficiency reports for each of our customers. When we produce them, we pull the data from HubSpot and Google Analytics. Then, we compose a report to describe the data to our colleagues, customers, and task stakeholders.

But, although they were helping our clients, producing them was holding our team back. While our clients discovered the reports valuable, the procedure of pulling the data, evaluating it, and preparing the reports quickly took 5 hours per customer, monthly. This took our marketers far from jobs that might have been efficient in the long run, such as brainstorming brand-new ideas and strategies that might significantly assist their customers.

E-tabs - Effective And Efficient Market Research Reporting

Whenever you're attempting to try out or execute a new method, you'll want to research the subject completely. For instance, you'll want to acknowledge your spending plan and after that check out software that suits it. You'll also desire to figure out the pros and cons of any software you consider. This will help you better acquaint yourself with the world of AI and which tools can really help you.

Prior to choosing that we wanted to streamline our reporting strategy, we 'd been investigating AI through resources at our Marketing AI Institute. The Institute is a media business that aims to make AI more approachable for marketers. automate dashboard. Since we launched the company, we have actually published more than 400 posts on AI in marketing.

2 billion. After finding out about how AI had currently streamlined dozens of marketing-related processes, we chose to explore how automation and synthetic intelligence could assist us with our clients at PR 20/20. We became consumed with how smarter technology could increase profits and decrease expenses. In the process, we discovered natural language generation (NLG) innovation that wrote plain English immediately.

You've come across NLG anytime you've used Gmail's Smart Compose function. Or, when you hear Amazon's Alexa react to your voice inquiries. When we found a potentially handy NLG software, we decided to run an experiment to see if the AI technology could partly or totally automate our efficiency report writing procedure.

7 Reasons To Start Report Automation - Analytics Canvas

Now, the next step is to look for software application that works for your business. Here are a couple of things you'll need to think about: You'll wish to consider the expense of any of the software application's memberships or fees, in addition to the cost to execute it. For example, you might require to agreement or work with an engineer to prepare your data and take any steps to ensure the software works smoothly.

Make sure to understand what you'll require to do if something isn't working appropriately so you do not incur any emergency situation costs. As an online marketer, you won't want to rely on a full-time engineer to utilize AI software to run your reports. You'll wish to look for software application that your less tech-savvy group members can eventually get trained on and learn. automatic report updates.

As you select software, you'll also want to locate case studies, reviews, or user testimonials that describe how a business used the software application to run reports or finish a similar activity. This will give you a concept of if the product you're thinking about has a good performance history or credibility in the AI software application market.

Here are two highly-regarded examples: Domo is a data visualization and reporting tool that integrates with significant data and analytics platforms including Google Analytics. When you link these platforms, you can utilize a control panel to establish and generate data visualizations or reports for your customers. These visualizations consist of pie charts, other graphs, and word clouds.

How Report Automation Can Improve Your Reporting Process ...

The platform offers guides on how to produce datasets or spreadsheets that its algorithms will acknowledge in addition to a drag and drop guide which asks you to submit particular info such as "Regular monthly Budget plan." Here's a quick demo that shows Domo in action: This reporting software allows you to generate reports or reporting control panels that your team and customers can edit and cross-collaborate on.

Sales Reporting 101: Here's Everything ...propellercrm.com

Aside from information visualizations, you can also include boxes to your dashboards that reveal you scorecards that keep in mind whether you're hitting your goals or not, as well as filters that help you drill down on particular elements of your task. Here's a demonstration explaining how small companies such as nonprofits can benefit from the software application's control panel reporting features: Despite which product you select, you'll likely require to prepare your data in a manner that your software application's robotic or algorithm might quickly acknowledge and analyze - automatic report updates.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

The software application needed structured information in columns and rows to produce text. So, first, we had to pull HubSpot and Google Analytics information into spreadsheets. Due to the fact that doing this manually would take excessive time and restrict the potential time saved with automation, we used APIs and developed our own algorithm using Google Apps Scripts to pull data into a Google Sheet.

We understood NLG software application would be not likely to handle entirely custom reports well. So, we produced a design template for these reports that didn't change monthly. To develop a format for each report, we identified a set of 12 common questions we were attempting to answer for clients every month: Just how much traffic pertained to your website, and how does that compare to the previous month? In 2015? How engaged was last month's website traffic? What were the top traffic-driving channels? Was there variation in total traffic, and if so, what caused it? How did the blog site carry out last month? How engaged was blog traffic? What were the top-performing article? Existed any modifications in blog site traffic last month, and if so, what caused them? The number of goals or new contacts were created last month? What were the leading transforming pages? Where did goals or brand-new contacts come from? Existed any modification in overall objectives or lead volume, and if so, what was accountable? A great AI software will either permit you to create documents or even dashboards, as your reports.

Top Use Cases In Automated Report Writing - Phrazor

When we 'd structured our data and developed a basic report format, we had to translate our basic report format into an NLG design template. The template was basically a finished variation of a performance report. When the NLG software runs, this report gets copied into the NLG software application. Then rules are used to the copy to programmatically upgrade what's written based on the structured data offered.

------------[ 1 ]------------

Can Science Writing Be Automated? - Mit News ...

Table of ContentsSpectora: Top-rated Home Inspection Software - Powerful ...Create Real-time Reports Automatically - PlectoE-tabs - Effective And Efficient Market Research ReportingAi-generated Reports Are The Write Stuff - Articles - Chief ...E-tabs - Effective And Efficient Market Research Reporting

The last output could be a CSV, Word, or Google Doc file. Even if you're working with a reputable AI software application, you'll still want to check it and troubleshoot any issues that emerge. This prevents any AI-related occurrences from occurring when the tool is actively being utilized by employees or on tight deadlines.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

And we ultimately perfected the procedure to consistently produce clear, accurate automated efficiency reports. If a software application company that you work with offers a trial or discount for testing out their item, take advantage of it. This will permit you to witness first-hand if the expense of the item exceeds its advantages, or provide you time to determine if there is a better product that you need to be using - automatic work time reports.

When you do this, here are a few things that you'll desire to evaluate: The amount of time that the software application is conserving staff members, or if there were any bugs, how much time the software application cost. The quantity of other productive or revenue-generating jobs your team had the ability to get made with the extra time you had.

Automatic Reporting Tools Blog ...whatagraph.com

As we tracked our new automated performance reports, we found that our tools took a portion of the time to produce the exact same report that we took hours to create. In addition, the level of detail in our customer reports is now constant throughout all accounts. Before we executed AI tools, the reports were just as strong as the account group's convenience level of analyzing marketing performance reports.

Solved: What Is A Major Advantage Of Automated Forensics ...

The only handbook part of the process now involves spot-checking the information for precision, applying some styling, and after that sending. automate dashboard. What as soon as took us 5 hours per report now takes 10 minutes. While the initial procedure required to be handled by several colleagues, only one personnel member is required for spot-checking.

Although our group is able to gain access to AI service providers and specialists for our in-office experiments, other small company marketers can likewise benefit from this method somewhat cost effectively. Nevertheless, remember that AI application can take time. For us, we required to put time into constructing structured datasets, in addition to our Report template so that our AI software application might read our analytics and draft reports properly.

Complete info, faster conclusions, and better decision-making digital-era success hinges on them (automatic work time reports). But an organization with a single variation of the truth, spreadsheets filled with accurate information, is still a few rungs brief of success. One reason: management needs easy-to-digest reports that interpret the numbers. That tends to cause cleaner analyses and crisper decision-making.

These products drill-down into ab company's database and auto-produce easy-to-understand, written reports from the very same data that Microsoft Excel uses to generate graphics. A few of these fairly new AI tools also called natural language generation, or NLG, software application are variations of the exact same innovation that assists significant media companies produce computer-written news items.

You're Wasting Your Time On Reports. Automate Them. - By Josh ...

Anna Schena, a senior item supervisor at Narrative Science, another AI-generated composing toolmaker, states that "data storytelling" indicates users do not need to discover how to evaluate spreadsheets or glean insights from long rows of dashboard dials. "Easy-to-understand language and one-click collaboration functions ensure that everybody in a company actually understands the information, all the time," Schena states.

States Sharon Daniels, CEO of Arria: "NLG-driven, multi-dimensional stories are the breakthrough that [data-generated] visuals were years back. The huge information issue was partly attended to with the development of business intelligence control panels," she describes. "However while visuals paint an image, they're not the total image." Adds Daniels: "The

[automaticreport]

Guide To Automated Journalism - Academic Commons

Automated Sports Journalism. The Anafut Case Study, The Bot ...

Table of ContentsRobot-writing Increased Ap's Earnings Stories By Tenfold ...7 Reasons To Start Report Automation - Analytics CanvasDawn Of The Intelligently Automated Agency - Pr 20/20Ets Research: Automated Scoring Of Writing QualityQuickly Generate Custom Branded Reports - Dradis Pro

As online marketers in 2020, there's one major thing that we share: We're driven by data. Despite whether we're copywriters, social networks managers, videographers, or web designers, information is crucial to assisting us identify which jobs succeed, which methods might require more of a spending plan, and which techniques we require to leave.

Even if you have an analytics software that tracks a project's traffic, engagements, ROI, and other KPIs, you'll likely still require to take some time to arrange these numbers, analyze them, and come up with a reasonable method to report on your projects to your team or customers. In the past, marketing firms and firms entrusted full-timers with reporting-related responsibilities. real time reports.

Best Reporting Tools & Software Of 2021 ...thedigitalprojectmanager.com

This is an issue that my Cleveland-based marketing company, PR 20/20, ran into a few years ago. As part of our process, we produce regular monthly efficiency reports for each of our customers. When we develop them, we pull the information from HubSpot and Google Analytics. Then, we write a report to explain the data to our colleagues, customers, and task stakeholders.

But, although they were assisting our clients, developing them was holding our group back. While our customers discovered the reports important, the procedure of pulling the data, examining it, and drafting the reports quickly took five hours per customer, per month. This took our marketers away from tasks that could have been efficient in the long run, such as brainstorming originalities and strategies that might noticeably help their customers.

School Report Writer - Progress Reports In Minutes

Whenever you're attempting to experiment with or execute a new technique, you'll wish to look into the topic completely. For example, you'll wish to acknowledge your spending plan and then check out software that suits it. You'll likewise wish to figure out the benefits and drawbacks of any software you consider. This will help you better acquaint yourself with the world of AI and which tools can actually assist you.

Prior to choosing that we wished to enhance our reporting strategy, we 'd been researching AI through resources at our Marketing AI Institute. The Institute is a media business that intends to make AI more approachable for marketers. automated reporting dashboards. Because we introduced the company, we have actually published more than 400 short articles on AI in marketing.

2 billion. After learning more about how AI had already structured dozens of marketing-related processes, we decided to check out how automation and expert system might assist us with our clients at PR 20/20. We became consumed with how smarter innovation could increase earnings and lower expenses. While doing so, we found natural language generation (NLG) innovation that wrote plain English immediately.

You have actually encountered NLG anytime you've used Gmail's Smart Compose function. Or, when you hear Amazon's Alexa react to your voice questions. Once we found a possibly handy NLG software, we decided to run an experiment to see if the AI innovation could partly or completely automate our efficiency report composing procedure.

Automated Reports And Dashboards In R - Nandeshwar.info

Now, the next action is to browse for software that works for your organization. Here are a couple of things you'll need to consider: You'll desire to think about the expense of any of the software application's subscriptions or fees, as well as the expense to implement it. For instance, you may require to contract or work with an engineer to prepare your data and take any steps to ensure the software application works efficiently.

Be sure to comprehend what you'll need to do if something isn't working appropriately so you don't incur any emergency situation expenses. As an online marketer, you won't wish to depend on a full-time engineer to utilize AI software to run your reports. You'll want to look for software application that your less tech-savvy staff member can ultimately get trained on and discover. automate dashboard.

As you choose out software application, you'll likewise desire to track down case research studies, evaluations, or user testimonials that explain how a company used the software application to run reports or finish a comparable activity. This will provide you an idea of if the product you're considering has an excellent performance history or credibility in the AI software market.

Here are two highly-regarded examples: Domo is a data visualization and reporting tool that integrates with significant data and analytics platforms consisting of Google Analytics. As soon as you link these platforms, you can use a control panel to set up and generate information visualizations or reports for your customers. These visualizations include pie charts, other charts, and word clouds.

Solved: What Is A Major Advantage Of Automated Forensics ...

The platform uses guides on how to produce datasets or spreadsheets that its algorithms will recognize along with a drag and drop guide which asks you to upload specific info such as "Monthly Spending plan." Here's a quick demo that shows Domo in action: This reporting software allows you to generate reports or reporting dashboards that your team and customers can modify and cross-collaborate on.

How to Write A Good Bug Report? Tips ...softwaretestinghelp.com

Aside from information visualizations, you can likewise include boxes to your dashboards that reveal you scorecards that keep in mind whether you're striking your goals or not, along with filters that assist you drill down on specific elements of your job. Here's a demonstration explaining how small companies such as nonprofits can gain from the software application's dashboard reporting functions: Despite which item you select, you'll likely require to prepare your information in a method that your software application's robotic or algorithm might quickly recognize and analyze - automatic report.

Plecto ApS

Address: Viby Ringvej 11, 1 tv

Phone: +45 71 99 71 60

Email: support@plecto.com

Real-time insights

The software required structured data in columns and rows to produce text. So, initially, we had to pull HubSpot and Google Analytics information into spreadsheets. Because doing this manually would take too much time and limit the prospective time saved with automation, we utilized APIs and developed our own algorithm using Google Apps Scripts to pull information into a Google Sheet.

We understood NLG software would be unlikely to handle totally customized reports well. So, we created a template for these reports that didn't change each month. To create a format for each report, we determined a set of 12 typical questions we were attempting to address for customers every month: Just how much traffic concerned your site, and how does that compare to the previous month? Last year? How engaged was last month's site traffic? What were the top traffic-driving channels? Existed fluctuation in general traffic, and if so, what triggered it? How did the blog site carry out last month? How engaged was blog traffic? What were the top-performing post? Existed any changes in blog site traffic last month, and if so, what caused them? The number of goals or new contacts were produced last month? What were the leading transforming pages? Where did goals or brand-new contacts come from? Existed any modification in total objectives or lead volume, and if so, what was accountable? A great AI software will either allow you to produce files or perhaps dashboards, as your reports.

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Once we 'd structured our data and established a basic report format, we needed to equate our basic report format into an NLG template. The design template was essentially a finished variation of an efficiency report. When the NLG software runs, this report gets copied into the NLG software. Then rules are used to the copy to programmatically update what's written based on the structured information offered.

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The final output could be a CSV, Word, or Google Doc file. Even if you're working with a credible AI software application, you'll still want to check it and fix any concerns that emerge. This avoids any AI-related events from taking place when the tool is actively being utilized by employees or on tight deadlines.

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Real-time insights

And we ultimately refined the process to regularly produce clear, precise automated efficiency reports. If a software application company that you work with offers a trial or discount for checking out their product, utilize it. This will allow you to witness first-hand if the cost of the item surpasses its advantages, or provide you time to determine if there is a more ideal product that you should be utilizing - automated reporting dashboards.

When you do this, here are a few things that you'll wish to evaluate: The amount of time that the software application is conserving workers, or if there were any bugs, how much time the software application cost. The amount of other efficient or revenue-generating tasks your team had the ability to get done with the extra time you had.

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As we tracked our new automated performance reports, we discovered that our tools took a fraction of the time to produce the exact same report that we took hours to create. Furthermore, the level of detail in our customer reports is now constant across all accounts. Before we executed AI tools, the reports were only as strong as the account group's convenience level of examining marketing performance reports.

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The only handbook part of the process now involves spot-checking the information for precision, applying some styling, and then sending. real time reports. What once took us 5 hours per report now takes 10 minutes. While the original process required to be handled by multiple colleagues, only one staff member is required for spot-checking.

Although our group is able to access AI companies and professionals for our in-office experiments, other small company marketers can also benefit from this strategy somewhat cost effectively. However, bear in mind that AI execution can take time. For us, we needed to put time into constructing structured datasets, in addition to our Report template so that our AI software application could read our analytics and draft reports correctly.

Complete details, faster conclusions, and better decision-making digital-era success hinges on them (automatic dashboard). However an organization with a single variation of the reality, spreadsheets filled with precise information, is still a few rungs except success. One factor: management requires easy-to-digest reports that analyze the numbers. That tends to cause cleaner interpretations and crisper decision-making.

These items drill-down into ab company's database and auto-produce easy-to-understand, written reports from the very same information that Microsoft Excel utilizes to generate graphics. A few of these reasonably new AI tools likewise called natural language generation, or NLG, software are variations of the exact same technology that helps significant media companies produce computer-written news items.

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Anna Schena, a senior item manager at Story Science, another AI-generated writing toolmaker, states that "data storytelling" means users do not need to learn how to analyze spreadsheets or obtain insights from long rows of dashboard dials. "Easy-to-understand language and one-click partnership features guarantee that everyone in a company actually comprehends the information, all the time," Schena states.

States Sharon Daniels, CEO of Arria: "NLG-driven, multi-dimensional stories are the advancement that [data-generated] visuals were years ago. The big information problem was partially resolved with the advancement of service intelligence dashboards," she describes. "However while visuals paint a picture, they're not the complete picture." Adds Daniels: "The ability

[credibleauomotive]

Natural Language Generation (NLG) Market Comprehensive Research Study, Regional Growth, Business Top Key Players Analysis

Global Natural Language Generation (NLG) Market report emphasizes on the detailed understanding of some decisive factors such as size, share, sales, forecast trends, supply, production, demands, industry and CAGR in order to provide a comprehensive outlook of the global market. Additionally, the report also highlights the challenges impeding market growth and expansion strategies employed by leading companies in the “Natural Language Generation (NLG) Market”.

Global Natural Language Generation (NLG) Market research report analyzes top players in the key regions like North America, South America, Middle East and Africa, Asia and Pacific region. It delivers insight and expert analysis into key consumer trends and behavior in market place, In addition to an overview of the market data and key brands. It also provides all data with easily digestible information to guide every businessman’s future innovation and move business ahead.

Global Natural Language Generation (NLG) Market Segmentation Analysis:

Major Players in Natural Language Generation (NLG) market are: Retresco Narrative Science 2txt – Natural Language Generation GmbH. Automated Insights NarrativeWave NewsRx CoGenTex Phrasetech Arria NLG AX Semantics Conversica vPhrase Phrasee Narrativa Artificial Solutions AWS IBM Yseop Most important types of Natural Language Generation (NLG) products covered in this report are: Software Services Most widely used downstream fields of Natural Language Generation (NLG) market covered in this report are: Customer Experience Management (CEM) Fraud Detection and Anti-money Laundering Risk and Compliance Management Performance Management Predictive Maintenance Others (Weather Forecasting and Forensics)

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Natural Language Generation (NLG) Market, By Geography:

The regional analysis of Natural Language Generation (NLG) market is studied for region such as Asia pacific, North America, Europe and Rest of the World. The North America is one of the leading region in the market due to numerous cross industry collaborations taking place between automotive original equipment manufacturers and mobile network operators (MNOs) are taking place for continuous internet connectivity inside a car to enhance the user experience of connected living, while driving. Asia-Pacific region is one of the prominent player in the market owing to large enterprises and SMEs in the region are increasingly adopting Natural Language Generation (NLG) solutions.

Some Points from Table of Content

Global Natural Language Generation (NLG) Market 2022 by Company, Regions, Type and Application, Forecast to 2030

1 Natural Language Generation (NLG) Introduction and Market Overview

2 Industry Chain Analysis

3 Global Natural Language Generation (NLG) Market, by Type

4 Natural Language Generation (NLG) Market, by Application

5 Global Natural Language Generation (NLG) Consumption, Revenue ($) by Region (2018-2022)

6 Global Natural Language Generation (NLG) Production by Top Regions (2018-2022)

7 Global Natural Language Generation (NLG) Consumption by Regions (2018-2022)

8 Competitive Landscape

9 Global Natural Language Generation (NLG) Market Analysis and Forecast by Type and Application

10 Natural Language Generation (NLG) Market Supply and Demand Forecast by Region

11 New Project Feasibility Analysis

12 Expert Interview Record

13 Research Finding and Conclusion

14 Appendix 

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Reasons to Purchase this Report

Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors

Provision of market value (USD Billion) data for each segment and sub-segment

Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market

Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region

Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled

Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players

The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions

Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis

Provides insight into the market through Value Chain

Market dynamics scenario, along with growth opportunities of the market in the years to come

About US

Credible Markets is a new-age market research company with a firm grip on the pulse of global markets. Credible Markets has emerged as a dependable source for the market research needs of businesses within a quick time span. We have collaborated with leading publishers of market intelligence and the coverage of our reports reserve spans all the key industry verticals and thousands of micro markets. The massive repository allows our clients to pick from recently published reports from a range of publishers that also provide extensive regional and country-wise analysis. Moreover, pre-booked research reports are among our top offerings.

The collection of market intelligence reports is regularly updated to offer visitors ready access to the most recent market insights. We provide round-the-clock support to help you repurpose search parameters and thereby avail a complete range of reserved reports. After all, it is all about helping you reach an informed strategic decision about purchasing the right report that caters to all your market research demands.

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[sharvaricmi]

Natural Language Generation Market 2021 Highlights Recent Trends, Business Opportunities and Market Growth till 2028 | Narrative Science, CoGenTex, Inc., ARRIA NLG plc, Automated Insights, Inc., and Phrasetech.

Natural language generation, or NLG, is a software approach for producing natural language output. While everyone believes that text is the output of any NLG process, there is disagreement on whether the system's inputs must be non-linguistic. Weather and patient reports, photo captioning, and chatbots are all examples of reports created using NLG techniques.

The Natural Language Processing Market is very competitive, with numerous significant competitors vying for more market share. These market leaders have been concentrating on growing their client bases in international nations, as well as creating new inventive solutions, as well as pursuing agreements and mergers to enhance their market share and profitability.

Asia Pacific is expected to have a considerable growth in demand for NLG technology throughout the forecast period. This is due to the increased usage of NLG tools in India, China, and Japan. The regional market has substantial development opportunities, thanks to an increasing number of natural language generation companies in India, such as vPhrase, Stride.ai, and others. As artificial intelligence technologies become more widely employed in banking, financial services, and insurance, the regional market is expected to grow. 

Read more @ https://cmiaspireblog.blogspot.com/2021/12/natural-language-generation-market-size.html

[jordynscalhoun]

The Necessary Guidelines To Conversational AI

As the world pushes for digital advancement, conversational artificial intelligence (AI) will be more commonly recognized by companies and will be used to improve customer communication. In fact the world's conversational AI market is expected to increase at a rate of 21.9 percent over the next three years.

The adoption of nlp for conversational AI is in turn driven by a dual purpose. While brands are looking for new ways to gain more market share in a highly competitive marketplace, they also want customers to be happy. This is why conversationsal AI uses are the key to both objectives.

Chatbots that can be used to communicate with customers could alter every aspect of when you, where, and the way brands interact with customers. Deploying it offers a whole new class of capabilities business leaders must consider when trying to provide their clients and other stakeholders. It is easier to understand the concept of conversational AI when you are familiar with its elements and how they work.

What is the Conversational AI Platform?

Conversational AI is defined as the combination of various technologies that users commonly utilize to communicate. It can anticipate and respond in a personalized manner to complex and dynamic interactions that aren't limited by defined boundaries.

Compared to rule-based chatbots, AI chatbot can enable human-like interaction and provide a less limited user experience. In reality, chatbots that are conversational empower businesses to deliver the best of both worlds personalized engagements and support at scale. Conversational AI is designed to gain a better understanding of users as well as make it easier to take action and easy to use.

What is Conversational AI?

Conversational AI can understand, react and gain knowledge from each interaction. To achieve the goals it employs a variety of technologies like Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Advanced Dialog Management, Predictive Analytics, Machine Learning (ML).

How does conversation AI work?

It will start working once the AI application is notified of the inputs from users.

The Automated Speech Recognition (ASR) technology helps to listen to the spoken inputs, senses and transforms them into machine-readable format, text.

Then the AI application is required to determine what the input text means. Natural Language Understanding (NLU) aids in understanding the meaning of the words.

Then, it formulates the response based on its comprehension of the intent of the text through Dialog Management.

Dialog management manages the responses and converts them using Natural Language Generation (NLG) into a readable format.

The conversational chatbot, application will then deliver the response either in text or speech to text.

The components are responsible for enhancing and learning about the application over time. This is known as Reinforced Learning. It's where the application learns from its previous interactions in order to give a better response.

Conversational Artificial Intelligence: Key Components

Conversational artificial intelligence combines natural language processing (NLP) and machine learning. It uses key components to understand the context of what users say and interact with them most intuitively. Visit aisera.com for more information about Intelligent Conversational Assistant.

Machine Learning (ML), comprised of algorithms and features is a system that teaches how to better respond to users through analyzing the actions of human agents.

Natural Language Processing (NLP) It is a technique that allows users to "read" or interpret human language texts, an essential requirement for understanding natural sentence structure versus keywords "triggers".

Integrations This lets systems execute end–to-end actions via Application Programming Interfaces, (APIs) and other business tools. These features permit more autonomy in actions.

[shrutech]

Coherent Market Insights is a prominent market research and consulting firm offering action-ready syndicated research reports, custom market analysis, consulting services, and competitive analysis through various recommendations related to emerging market trends, technologies, and potential absolute dollar opportunity. Contact Us: Name: Mr. Shah Phone: US +12067016702 / UK +4402081334027 Email: sales@coherentmarketinsights.comMarket Dynamics- Drivers Growing need to understand customers’ behavior is expected to drive growth of the global natural language generation market during the forecast period Understanding customers’ buying behavior has become crucial for business owners. Since products are made to cater to consumers’ needs and wants, the product should be designed and marketed accordingly. The study of customer behavior helps organizations to analyze different factors that influence buying decisions of consumers. NLG can create unlimited content variations for every individual for a personalized experience with better customer engagement. It also helps companies to execute targeted marketing and provide individualized content for increased sales. This also means less amount of time is spent on routine tasks, which can be otherwise used for improving digital experiences. NLG can make different variations of product descriptions precisely in multiple languages very efficiently. Thus, these factors are expected to drive growth of the global natural language generation market during the forecast period. Rising penetration of big data and related technologies is expected to propel the global natural language generation market growth over the forecast period Get HOLISTIC Request Sample Copy: https://www.coherentmarketinsights.com/insight/request-sample/4285

Big data refers to an efficient way to analyze and systematically extract valuable insights from a vast amount of unstructured data. Big data is far more efficient than conventional data processing application software. NLG is a cutting-edge technology that can boost data visualization solutions. By leveraging NLG, interpretation of data visualization software such as SAP, Tableau, and Qlik has become significantly easy. Furthermore, NLG can provide a coherent and inclusive analysis of a vast and complex dataset. In fact, it also reduces human cognitive efforts, enabling end users to make decisions based on valuable insights. Therefore, these factors are expected to propel the global natural language generation market growth over the forecast period. Market Restraint Lack of skilled personnel to deploy NLG solutions is expected to hinder the global natural language generation market growth over the forecast period Understanding and deploying natural language generation requires skilled personnel. Such expertise is scarcely available, especially in emerging regions such as Latin America, Asia Pacific, and MEA. As a result of this, the adoption of NLG is significantly hindered. Thus, these factors are expected to hinder the global natural language generation market growth over the forecast period. 

  Low awareness regarding NLG solutions is expected to restrain growth of the global natural language generation market during the forecast period Despite its numerous advantages, the adoption of NLG is significantly low. This is owing to low awareness regarding NLG solutions and their advantages among many business owners. Thus, these factors are expected to restrain growth of the global natural language generation market during the forecast period. 

Market Opportunity Emerging options in application areas can present lucrative growth opportunities in the global natural language generation market Natural language generation is being used in various applications such as automated editorial content creation, e-commerce content creation, chatbots, auto-generated software patent application, financial assessment automation, and more. In this, chatbots are one of the most recent applications of NLG where they are required to converse or interact with people in a way that a human would. The best chatbots would the ones that can give users the impression that they are interacting with actual humans.

  Rising demand for intelligent business processes can provide major business opportunities in the global natural language generation market NLG is finding applications in intelligent business processes. NLG tools can analyze, interpret, and identify the most significant data and generate reports in simple English. Furthermore, NLG offers artificial intelligence (AI) to business intelligence by automating the routine analysis, which saves both time and money for the business.Natural language generation (NLG) is a subfield of artificial intelligence, which automatically transforms data into plain English content. It can be used to produce long-form content for organizations to generate custom content for mobile applications as well as custom reports. NLG is different from natural language processing (NLP) since NLP focuses on deriving analytics insights from textual data, while NLG is used to generate textual data by combining analytic output with contextualized narratives. With NLG, data can be accessed, analyzed, and communicated with scale and accuracy

[remelitalia]

10 Content Marketing Trends for 2021 and Beyond

Organizations that have made consistent and sound investments in content marketing have reported those investments paying dividends in recent years.

However, to maintain their growth, marketers must also stay tuned into the ever-changing content marketing landscape.

What worked last year may not be enough to creep ahead in 2021.

Being able to anticipate trends and changes in audience behavior based on technology trends and updates can help you adjust your strategy and get ahead of the wave.

Here, we’ll detail some trends to keep an eye on in 2021, but before we do, let’s look at why content marketing keeps evolving.

Why Does Content Marketing Change so Frequently?

Content marketing continues to evolve to keep pace with trends, technologies, and consumer demands. For instance, increasing use of mobile devices, voice search, and social media all require us to stay on top of things.

Then there are the platforms themselves that change. Established sites like Facebook have started to attract an older demographic, while newer platforms like TikTok appeal to a younger audience.

To reach their audiences effectively, content marketers must adapt their strategies to meet these changing trends.

10 Current Trends in Content Marketing

More recently, adaptability and flexibility have been central to content marketing. However, many of the preferred marketing methods remain the same.

Although many current content marketing trends are a continuation or evolution of existing ones, some trends are gaining considerable ground.

1. Building Communities

With as many as 24 million e-commerce stores out there, you need to find a way of getting noticed.

You achieve that in such a crowded space by developing a community.

Community marketing isn’t about getting a quick sale—it’s about engaging with customers while building trust and loyalty and reaching a wider audience.

The Dollar Shave Club (DSC) is an excellent example of this. DSC works on a subscription basis and considers all of its members a part of the community.

In addition to its social media presence and a blog to engage with customers, DSC features members in its monthly newsletter and ensures its subscribers are at the heart of the business.

Then there’s ProBlogger.

You might know ProBlogger from its jobs board or its blog. However, its community side is a considerable part of the brand too. The community gives new and established bloggers the chance to come together and learn and collaborate.

It also offers:

networking opportunities

webinars

discounted books, tools, and events

community downloads

2. Optimizing Content for Niche, Long Tail Keywords

For a long time, the focus for marketers was long-form content. However, more recently, content marketing has stepped back from detailed, lengthy article guides. Instead, the use of niche, long-tail keywords is becoming more prevalent, as long-tail keywords are more specific and have less competition.

Further, using long-tail keywords makes it easier to get your content ranked on Google. That means more organic traffic, which is good news for marketers targeting a competitive niche.

Finding these long-tail keywords needn’t been difficult. You’ll find there’s plenty of free and paid-for tools available, such as:

Ubersuggest

Semrush

Wordtracker

Moz.com

You can also use:

the “people also searched for” feature on Google

Google Suggest

Google’s related search

Once you’ve narrowed down your keywords, you can then focus on a specific segment of your business and create content around the subject.

3. Hiring Content Teams With Diverse Skill Sets

In recent years, there’s been a consistent shift away from content churning.

The brands experiencing the most success with content marketing aren’t just flooding their audience with content. They’re taking a media publishing approach.

The process is just as important as the content itself now. Having a team of writers isn’t enough anymore.

Your company needs to create a broader strategy with a more diverse group of talent and skills to meet your audience’s demands.

That means good writing isn’t enough. The content team will need to grow and adapt for the next year and should include people who have talent in:

video production and editing

graphic design, illustration, and editing

audio editing and production skills

content optimization

content distribution and promo

strategy development, execution, SEO, and campaign management

communications and branding

4. Repurposing Content Across Channels

Repurposing content saves time, gets you in front of a different audience, and enhances your organic search.

This simply means repackaging it into a different format. For example:

turning blog posts into an eBook or newsletter content

embedding YouTube videos in your blog

transcribing your YouTube videos and distributing them as podcast, newsletter, or blog content

creating infographics from research and stats.

ESPN showed how effective content repurposing could be. When ESPN launched “We the Fans,” it distributed the content across a range of formats. Articles, podcasts, videos, and social media were all part of ESPN’s strategy.

As Chad Millman, VP/editorial director of U.S. digital content, explains, “The idea was to take advantage of all of ESPN’s platforms.”

You should consider doing the same for your business.

Content Marketing Trends for 2021 and Beyond

Looking forward, the need for marketers to adapt their content plans will continue, and we’re likely to see a greater increase in existing trends like Google’s Discover and stories to engage readers and keep them on the page.

Let’s take a closer look at these content marketing trends.

5. “Discover” Features

Yoast, Search Engine Land, and HubSpot are just some of those talking about Google Discover. It was formerly known as Google Feed, but it’s undergone a significant transformation since its launch.

If you’re not familiar with Google Discover, it combines news, evergreen content, along with visuals like photos. To fill the feed, Google uses AI and machine learning to understand a user’s search history, meaning the viewer gets content likely to engage them.

You’ll find Discover on Google’s mobile pages, and mobile Chrome users will see the feed when they open a tab.

Over time, Discover becomes increasingly sophisticated. Just ask the Vogue and Vice’s publishers.

Your content is eligible to appear on Discover if it meets the guidelines and Google has indexed it. However, as Google states, it doesn’t guarantee your content will appear in its Discover feed.

Google does, however, have some guidelines to improve the chances of your content showing up.

These include:

posting “outstanding and engaging content”

creating content that’s unique and timely

providing exact authorship details (your name, publication, bylines, publication)

high-quality imaging

descriptive titles that avoid clickbait

6. “Story” Features

Stories are growing in popularity for several reasons. First, they make great social media content. Secondly, they’ll also show up in mobile searches and Google Images, increasing your chances of discoverability.

There are other factors in their growing popularity: platforms like Google Stories make story creation accessible to everyone.

Crucially, though, Google Web Stories cater to consumers’ business lifestyles and provide content for people on the move: the use of Accelerated Mobile Pages (AMP) allows readers to flick through the same way you would with social media stories.

Another example of story features is Instagram Guides. These provide curated content in the form of videos, photos, and text. The idea is to make content easier to find, therefore making brands and influencers easier to discover.

7. Featured Experts

Commentary from experts that lends credibility to your content can help you stand out. That’s why including comments from a subject matter or featured expert could benefit your content’s performance.

Google doesn’t use subject matter content as a ranking factor (yet). However, evaluators consider the expertise, authoritativeness, and trustworthiness (EAT) factor in their quality rankings.

Google isn’t the only one interested in the quality content, though. Consumers are too.

According to a Nielsen study, 85 percent of consumers regularly or occasionally look for expert content before buying.

Additionally, 67 percent of buyers say unbiased expert endorsements make them more likely to consider a purchase.

InPowered, who commissioned the survey, says there are three main takeaways from the research. Marketers should:

build trust and cut through the noise with expert content

begin to share their stories once they’ve gained consumers’ trust

continue to build trust through expert content and ask customers to leave reviews

8 & 9. Generative Media & NLG

Generative media is increasing in use the same way that natural language generation (NLG) is. Like NLG, generative media uses AI to create content. The only difference is it makes computer-generated images rather than text.

It works in much the same way as NLP too:

The designer gives their instruction to the machine, detailing parameters/algorithms.

The machine uses these parameters to create an image.

However, the designer still has some input and can alter algorithms to produce the finished piece.

Tyler Lastovich of Lastly Studios predicted growth in generative media some time ago. As Lastovich points out, although there’s been a surge in use, we’ve yet to see its full potential. For instance, content marketers could use it in areas like:

contextual images

personalized content

realistic chatbots

According to a senior analyst at Techna, trial versions of generative design, cloud-based generative design solutions, and the rising integration of 3D printing with generative designs are just a few of the reasons behind this content marketing trend.

10. Content Driven Personalization

Yieldify defines content personalization as the “process of tailoring content that is visible to the customer based on their profile or preferences.”

Every customer who visits your website is at a different stage of the customer journey. Your content should cater to their specific needs and encourage them to take the next step.

A good example would be a customer that comes to your website to find out more about new kitchen units. When they return to your site, you could offer an e-book offering tips on choosing the ideal kitchen units for their home or a checklist on preparing for the revamp.

In case you’re wondering, content-driven personalization isn’t optional if you want to keep your customer satisfied. Research from Salesforce shows 84 percent of consumers say being treated like a person, not a number, is crucial to winning their business.

Further, fifty-nine percent say tailored engagement based on past interactions is crucial to winning their business.

Conclusion

While data support the trends listed here, trends aren’t everything. You should do your research to see how they can improve your content marketing strategy moving into 2021.

There’s also plenty of historical data that shows us how quickly trends can flop or die off.

Rather than chase content marketing trends, always do your research. Keep an eye on top performers in your space and use data—as well as experimentation—to fuel your strategy as you head into 2021.

Which of these content marketing trends for 2021 are you working on incorporating into your strategy?

The post 10 Content Marketing Trends for 2021 and Beyond appeared first on Neil Patel.

Original content source: https://neilpatel.com/blog/content-marketing-trends/ via https://neilpatel.com

See the original post, 10 Content Marketing Trends for 2021 and Beyond that is shared from https://imtrainingparadise.weebly.com/home/10-content-marketing-trends-for-2021-and-beyond via https://imtrainingparadise.weebly.com/home

[michaelandy101-blog]

7 Rising Applied sciences in search engine marketing and Their Functions

New Post has been published on http://tiptopreview.com/7-emerging-technologies-in-seo-and-their-applications/

7 Rising Applied sciences in search engine marketing and Their Functions

search engine marketing is a dynamic business. What labored some weeks in the past may not work once more proper now.

As an search engine marketing skilled, you might want to know the newest tendencies and rising applied sciences, to maintain up with the ever-changing demand of the business. That manner, you possibly can keep on high of your sport and develop into extra environment friendly in your enterprise.

On this submit, I’ll share with you seven rising applied sciences within the search engine marketing business and the way they affect your work as an search engine marketing knowledgeable. Lastly, I’ll present you apply them in your enterprise for optimum outcomes.

If you wish to scale your search engine marketing processes in 2021 and past, it’s best to be careful for these applied sciences, and begin implementing them in your enterprise straight away.

1. Pure Language Processing (NLP)

In December 2019, Google formally rolled out the Bidirectional Encoder Representations from Transformers (BERT) algorithm replace worldwide. This replace introduced NLP to the fore, and it’s been a expertise to be careful for within the search engine marketing business since.

With NLP, Google can perceive what a phrase in a sentence means by its context.

Which means that Google now not depends on the particular phrases or phrases that customers are trying to find to supply them with the correct solutions. Somewhat, they’re wanting on the intent behind every search.

Right here’s an instance of how BERT (an offshoot of NLP), impacts a search question according to Google.

Earlier than NLP, if somebody searches for the question “2019 brazil traveler to usa need a visa”, Google thinks that that is an informational question to verify if a U.S citizen can journey to Brazil with no visa. Therefore, it reveals a Washington Submit article that solutions the query on high of the SERPs.

As you possibly can see, the context behind this search is somebody eager to journey to the USA from Brazil who wants a visa. Whereas it was troublesome for Google to determine what these sorts of queries meant prior to now, with BERT, the algorithm understands the context behind every search and offers the person with the correct data.

The way to make the most of NLP in your search engine marketing processes

With NLP, informational content material is extra essential than ever. Nonetheless, optimizing for BERT isn’t one thing you are able to do as an search engine marketing.

Somewhat, it’s best to give attention to creating high-quality content material that solutions search queries precisely. Once you do, you’ll undoubtedly rank nicely.

This Moz article reveals you write wonderful items of content material for search engines and other people.

2. Pure Language Era (NLG) for short-form content material

With NLG, SEOs can now produce significant phrases and sentences identical to a pure language, however utilizing expertise.

As a substitute of battling with writers’ block and spending hours considering of what to jot down, NLG removes that burden by way of automation. And should you’re a content material creator, this helps you focus simply on sharpening the content material and making it learn higher.

Whereas there are a variety of use circumstances for NLG, in the mean time, it’s higher used to jot down short-form content material equivalent to headlines, product descriptions, assembly memos, and so forth.

The way to use NLG as an search engine marketing

There are a variety of use circumstances for NLG applied sciences. With a device equivalent to Copy.ai, you possibly can create touchdown web page hero textual content, Fb main textual content, weblog introductions, e-mail topic strains, listicles, meta descriptions, and so forth.

Right here’s an instance of some listicles I created for the subject “quality blog content” utilizing this device:

As you possibly can see, if I needed to jot down an article on this subject, I can use a few of these ideas as a top level view for my submit. With these, I can focus as an alternative on researching the person sub-topics.

Right here’s one other instance of some web site taglines that I created for Moz by getting into the model title and a short description of “The Ultimate SEO tool you can trust” into the device:

When you had been beginning a brand new model as an search engine marketing, you should utilize NLG instruments equivalent to this, to find superior taglines to make use of on your model.

Three. TF*IDF

TF*IDF stands for “Term Frequency times Inverse Document Frequency”. This measures how you employ a time period on a selected web page and the way it compares to a set of pages for that particular key phrase.

Whereas TF*IDF may appear to be a measurement of key phrase density, it’s really measuring how vital a key phrase phrase is by evaluating it to that key phrase’s frequency in a big set of paperwork.

Though it’s not but clear if Google makes use of TF*IDF in its algorithm, it’s a superb apply to include it into your on-page SEO technique.

Earlier than making use of TF*IDF, you might want to create a chunk of content material concentrating on a selected key phrase. As soon as that’s finished, plug the content material right into a TF*IDF device. Some really useful choices are Text Tools, SEO PowerSuite, Ryte, and Surfer SEO.

The way to use TF*IDF in your search engine marketing processes

With expertise and a few details about your key phrase, TF*IDF instruments normally recommend some phrases you possibly can add or take away out of your pages. As an search engine marketing, you possibly can optimize your web page primarily based on these ideas to satisfy the required TF*IDF rating for that key phrase.

That manner, you possibly can work out some phrases that are intently associated to the key phrase you’re writing about, however not current in your content material. Once you add these phrases and phrases to your content material, it makes your article topically related and helps your web page rank higher within the SERPs.

four. GPT-Three for automated content material creation

In September 2020, The Guardian published a story on its website that was written by a robotic. Since then, Generative Pre-trained Transformer Quantity Three (GPT-Three) has been a sizzling subject within the search engine marketing business.

The GPT-Three API works in an fascinating manner as a result of it’s been skilled with a large pool of datasets to imitate how people write. This consists of the Common Crawl dataset, Wikipedia, related historic books, and so forth.

Once you present the GPT-Three API with a writing immediate, it tries to foretell precisely what would come after that, primarily based on the knowledge it’s learn on the Web.

The screenshot beneath is an instance of GPT-3-generated content that went viral on Hacker information some months in the past. Most customers commented on it, identical to they might on an everyday submit, with out realizing that it was written by a robotic.

The way to Use GPT-Three for automated content material creation

E-mail writing: As an search engine marketing, you almost certainly acknowledge that writing nice emails is a ability that’ll assist your enterprise develop, but discover it troublesome to take action. With GPT-Three, you possibly can write emails simply. All you might want to do is provide some bullet points outlining all you wish to cowl within the e-mail, and it’ll robotically write it for you.

First draft writing: Creating the primary draft is probably the most troublesome facet of writing. With GPT-Three, you possibly can create the primary draft of your content material, after which edit it afterwards to satisfy your model voice. This protects you a variety of time and makes you extra environment friendly.

5. search engine marketing A/B testing

Most SEOs focus extra on person A/B testing and fewer on search engine marketing A/B testing. Whereas person testing includes randomly assigning guests (customers) of your web site to totally different variations of your pages, and finally deciding on the one to make use of primarily based on the efficiency. In search engine marketing A/B testing, the customers are Googlebots and never end-users, they usually’re usually proven the identical model of the web page.

What this implies is that if you implement search engine marketing/AB testing, you’re solely exhibiting customers or Google just one model of the web page, and never a number of pages.

The way to implement search engine marketing/AB testing

There are other ways to implement search engine marketing A/B testing, relying on what you wish to obtain for your enterprise. When you’re simply beginning out, some issues you possibly can check embody:

Title tags

Meta description

H1

Take for example, Etsy conducted a title tag SEO A/B testing for a few of its pages, and inside a couple of days, they began seeing vital visitors adjustments to their pages.

When you’re an intermediate/superior search engine marketing, you possibly can check different issues equivalent to:

AMP pages

Inside anchor texts

Schema markup

New content material

And so forth

For instance, SearchPilot ran an internal link SEO A/B testing for a grocery retailer, and noticed a 25% improve in natural visitors.

Conducting search engine marketing A/B assessments equivalent to these will assist you already know precisely what works nicely on your model and what doesn’t. That manner, you can also make extra knowledgeable selections when optimizing your pages for search engine marketing.

For example, in case your visitors decreased to a selected web page after making adjustments to it throughout the search engine marketing A/B check, it reveals that the check didn’t work out.

Usually, it’s best to count on to begin seeing outcomes out of your search engine marketing A/B testing as quickly as Google crawls your variant web page. If Google crawls your check web page inside say 7-14 days, then you possibly can examine it with the primary web page.

Some search engine marketing A/B testing instruments you should utilize for this function embody: Google Tag Manager, Rankscience, Optimizely, and so on.

6. Automated on-page content material optimization

When making a long-form piece of content material, you usually:

Test the top-ranking pages on the SERPs

Undergo every bit of content material rating on the SERPs

Determine the particular headings and subheadings the pages are overlaying

Establish the lacking factors within the pages

Create a greater define of our personal piece.

And so forth

This normally takes a variety of time. It’s important to spend hours manually checking one piece of content material after one other and paying attention to crucial factors to incorporate in your individual piece.

The way to use automated on-page content material optimization

As a substitute of spending hours to create content material briefs and researching the knowledge you wish to embody in your content material, you should utilize search engine marketing instruments equivalent to Frase AI and Content Harmony.

With Frase AI, you possibly can shorten the time you employ for content material analysis. Say you wish to write about “how to lose weight fast”, you possibly can enter the primary key phrase into the device.

As soon as finished, it’ll robotically test the top-ranking pages within the SERPs, and give you some helpful data you should utilize when creating your content material. These embody the highest outcomes for the key phrase, statistics and knowledge you possibly can add in your content material, questions your audience are asking on Quora, Reddit, and Google’s Folks Additionally Ask.

With a device equivalent to Content material Concord, you possibly can robotically create content material briefs that meet search intent in much less time.

All you might want to get began is your key phrase. When you enter it into the software program, it robotically analyzes the SERPs utilizing totally different knowledge factors. Afterwards, you possibly can construct your content material briefs from there.

7. Non-text content material elements

Non-text content material elements have gotten extra outstanding in search engine marketing as a result of they assist you create a nicer person expertise in your web site pages.

When you learn a chunk of content material with blocks of texts throughout it, you’ll most certainly discover it unappealing to take a look at. And with the upcoming enforcement of Core Web Vitals by Google in March 2021, non-text content material elements may have a big impact on search engine marketing.

A few of these non-text content material elements embody:

Photographs

Infographics

Graphs

Charts

Movies

Audio clips

Animations

Slideshows

Downloadable recordsdata equivalent to PDFs

The way to use non-text content material elements for search engine marketing

Canva: With this device, you create high-quality non-stock photographs on your pages.

Venngage: If you wish to create infographics that catches your readers’ consideration, then it’s best to use Venngage.

Invideo: Invideo helps you create and edit movies online in a couple of minutes with totally different ready-made templates.

Animaker: When you don’t have a design background and wish to create animated movies, then this device will assist you vastly.

With these instruments, you can also make your pages and posts extra interesting. Therefore, your readers will spend extra time in your web site, and your bounce charge will finally lower drastically.

Conclusion

As we glance ahead into the way forward for the search engine marketing business, new expertise developments will certainly play a big position. Whereas a few of them are already in use, others are nonetheless in growth.

When you’re an search engine marketing who desires to stay up to the mark within the business, then it’s best to maintain a watch out for these rising applied sciences and begin making use of them to develop your enterprise. Have extra search engine marketing tech so as to add to this listing? Let me know within the feedback.

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eDiscovery Market Likely to Emerge over a Period of 2020 - 2026

The market report study titled ‘Global eDiscovery Market Report’ published by Reports and Data offers in-depth and comprehensive research describing the scope of the market and market insights until 2026. The report will include details about potential opportunities, new projects, financial situations, constructive business strategies, and an outlook on the industry forecast. The report aims to provide an in-depth analysis of the market impacted by the current pandemic. The COID-19 crisis has dynamically changed the economic scenario on a global level. The report is updated with the latest COVID-19 incidence, economic landscape, and present and future impact of COVID-19 on the market.

The research report further studies the growth driving and restraining factors impacting the regional market and competitive landscape of the business sphere. The study also offers deeper insights into the challenges and hurdles the established companies and new entrants might face in the eDiscovery industry.

Get a sample of the report @ https://www.reportsanddata.com/sample-enquiry-form/1598

Competitive Analysis of the eDiscovery Market:

The eDiscovery market is further segmented into key players operating in the eDiscovery industry. The major companies profiled in the report include Microsoft, IBM, AccessData, Opentext, Catalyst, Micro Focus, Conduent, Nuix, FTI, and Relativity, among others. The eDiscovery market offers a detailed analysis of the product portfolio, key trends, applications, and a thorough value chain analysis. The report further covers strategic initiatives taken by each player in order to gain a footing in the market and expand their global reach. This includes mergers and acquisitions, product launches, joint ventures, collaborations, government deals, partnerships, and others.

Request a discount on the report @ https://www.reportsanddata.com/discount-enquiry-form/1598

Component Outlook (Revenue, USD Billion; 2016-2026)

Software

Services

Deployment Type Outlook (Revenue, USD Billion; 2016-2026)

Cloud

On-Premises

Organization Size Outlook (Revenue, USD Billion; 2016-2026)

Small and Medium-Sized Enterprises

Large Enterprises

End Users Outlook (Revenue, USD Billion; 2016-2026)

BFSI

Healthcare

Telecommunications and IT

Retail and Consumer Goods

Government and Public Sector

Legal

Energy and Utilities

Manufacturing

Others

The segmentation section offers pivotal insights into revenue generated as well as volume estimations for each product type and application. The report also offers projections about the product or application segment expected to dominate the market in the coming years. It also highlights the trends of the market and offers a granular assessment of the supply chain.

To know more about the report, visit @ https://www.reportsanddata.com/report-detail/ediscovery-market

Regional Analysis:

The report analyzes the market spread across key regions of the world and offers an assessment of the regional market pertaining to the growth rate, sales channels, and revenue generation. Furthermore, the key regions are also assessed for production and consumption rate, import/export, revenue contribution, market share and size, and the market presence of the prominent players in each region.

Key regions analyzed in the report are:

•        North America (U.S., Canada)

•        Europe (U.K., Italy, Germany, France, Rest of EU)

•        Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

•        Latin America (Chile, Brazil, Argentina, Rest of Latin America)

•        Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Radical Highlights of the Report:

·         Valuable insights about the Global eDiscovery Market with regards to market size, market share, valuations, and growth rate

·         Provides an 8-year forecast for the years 2020-2026, considering 2017 and 2018 as historical years, 2019 as the base year, and 2026 as the forecast year

·         Extensive analysis of the technological advancements, government regulatory framework, along with recent R&D and product advancements

·         Growth analysis and projections until 2026

·         Statistical analysis of the prominent players of the market

Request customization of the report @ https://www.reportsanddata.com/request-customization-form/1598

Key Questions Answered by the Report:

·         What are the key driving factors of the eDiscovery industry?

·         Which segment and sub-segment are expected to show significant growth during the forecast period?

·         What will the market size and growth rate be throughout the forecast period?

·         Who are the prominent players of the eDiscovery industry?

·         What are the technological advancements and product developments taking place in the eDiscovery market?

·         Which region is expected to dominate the market in the coming years?

·         What are the key outcomes of the SWOT analysis and Porter’s Five Forces analysis?

·         What are the key risk factors and challenges the companies will face in the market?

·         What factors are expected to hinder the growth of the eDiscovery industry

Browse Related Reports –

Natural Language Generation (NLG) Market Size, Share, Industry Analysis, By Type, By Product, By Application and Regional Forecast, 2020-2027

Smart Stadium Market Size, Share, Industry Demand, Outlook By Type, By Product, By Application and Regional Forecast, 2020-2027

Thank you for reading our report. The report can be customized based on regional segmentation and leading players. Kindly get in touch with us to know more, and our team will ensure the report is well suited to meet your requirements.

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Introducing the next wave of AI at Scale innovations in Bing(Sociamediaz Digital Marketing)

Looking for info about Introducing the next wave of AI at Scale innovations in Bing(Sociamediaz Digital Marketing)

Bing users around the globe perform hundreds of millions of search queries every day. These queries are diverse in many ways, from the intent the users are seeking to fulfill, to the languages and regions where these queries are issued. To handle such a dynamic range of usage, AI models in Bing must continuously evolve and therefore Bing is the prime example of Microsoft AI at Scale.

This blog post introduces recent updates to Bing that are making use of the Microsoft Turing Natural Language Generation (T-NLG) model, as well as expanding the use of the Microsoft Turing Natural Language Representation (T-NLR) model in production. If you are interested in trying out the Turing NLR model for your own business scenarios you can sign up for our preview.  

Bringing Natural Language Generation into Bing

In May, we outlined the use of AI models fine-tuned from the Turing Natural Language Representation model in different parts of Bing’s question answering and ranking systems. In the last year, there has been very exciting progress on Natural Language Generation, including training our very own T-NLG model, and the introduction of OpenAI’s GPT-3, trained with Microsoft Azure. Today we are excited to share how these advancements are enabling us to build better search experiences.

Improving Autosuggest using Turing-NLG Next Phrase Prediction

Autosuggest (AS) improves the search experience by suggesting the most relevant completed queries matching the partial query entered by the user. The key objective of AS is to save users time and keystrokes by offering better and faster query completion. The most frequent search prefixes are usually handled by suggestions that leverage previous queries issued by Bing users. However, as the user types more specific search terms (longer queries), the ability to generate suggestions on the fly becomes essential to overcome limitations of approaches based on previous queries.

Next Phrase Prediction is an AS feature that provides full phrase suggestions in real time for long queries. Before the introduction of Next Phrase Prediction, the approach for handling query suggestions for longer queries was limited to completing the current word being typed by the user. With Next Phrase Prediction, full phrase suggestions can be presented. Furthermore, because these suggestions are generated in real time, they are not limited to previously seen data or just the current word being typed. As a result, the coverage of AS completions increases considerably, improving the overall user experience significantly. The generative models are particularly challenging from an inferencing perspective due to – size of models and number of inferences required per query (one has to ideally run model inference per keystroke as the user is typing the query). We have introduced several innovations with respect to model compression, state caching, and hardware acceleration of these models to help delight our users cost efficiently.

Here are some examples that have suggestions that didn't before:

  Better SERP exploration via Generative Questions in People Also Ask

People Also Ask (PAA) is an extremely useful feature that allows users to expand the scope of their search by exploring answers to questions related to their original query. This saves users time and effort by not having to reformulate their questions to better fit their intent, while also enabling the exploration of adjacent intents. Since Bing has answers to a lot of user questions, it is natural and easy to find existing questions that are like the one that the user typed originally.

However, sometimes users ask questions for which we do not have previously asked questions and answers for similar intents. In cases like these, we need the ability to generate useful question-answer pairs from scratch in order to populate the PAA block.

We use a high-quality generative model on billions of documents to generate question-answer pairs that are present within those documents. Later, when the same documents appear on the Search Engine Result Page (SERP), we use the previously generated question-answer pairs to help populate the PAA block, in addition to existing similar questions that have previously been asked. This feature allows users to explore the entire SERP by asking more questions rather than simply browsing documents. Here are a few examples of how this shows up on Bing (questions in green boxes are powered by question generation model):

  Improving search quality globally with Natural Language Representation

Bing is available in over 100 languages and 200 regions. Although much of the latest AI research has been focused on English languages, we believe it is incredibly important to build AI technology that is inclusive of everyone. That is why we released our XGLUE dataset, which covers 19 languages over real production tasks, so that the research community could participate in our journey. We also shared our latest cross-lingual innovation InfoXLM, which is incorporated into the Turing Universal Language Representation (T-ULR) model. We’re excited to share how building on top of this technology has improved search experience for all users, speaking any language and located in any region of the world.

Expanding our intelligent answers to 100 languages and 200+ regions

In our May blog post, we talked about how we took a zero-shot approach with our T-ULR (Turing Universal Language Representation) model to expand intelligent answers beyond English-speaking markets. We initially shipped those answers to 13 markets using a single model without any training data in those markets.

We are very happy to announce that since then, we have expanded our intelligent answers to over 100 languages and 200 regions. Here are a few translated examples of foreign language queries that are generating answers from a web search result, using the same model that does so in English markets.

Query: {meaning of the name Holland}

Original:

Translated: 

Query: {What is ransomware}

Original:

Translated:   

Universal Semantic Highlighting in Captions

We are able to reuse the same models, pre-trained on 100+ languages and fine-tuned in a zero-shot fashion, to improve captions in all markets. These powerful models are enabling semantic highlighting, a new feature that expands highlighting in captions beyond simple keyword matching, helping users find information faster, without having to read through the entire snippet to look for an answer.

Previously, captions highlighting was highly dependent on matching the keywords present in the search query. However, keyword highlighting doesn’t maximize the experience when the query is a question, in which case it is much better to highlight the actual answer.

Highlighting the answer in a caption is similar to Stanford’s Machine Reading Comprehension test in which Microsoft was the first to reach human parity on the benchmark. With Universal Semantic Highlighting, we can identify and highlight answers within captions, and do it not just for English but for all languages.

Below are a couple of examples that show how it works. The first query is {Germany population} and as you can see that instead of highlighting the words “Germany” and “population”, we highlight the actual figure of 81,453,631 as the population of Germany in 2019.

Here is another example for the query {what temperature is a fever for coronavirus}. We show multiple documents where the captions clearly highlight the actual answer of 100.4 oF as the definition of a fever.

  Conclusion

Advancements in NLP continue to happen at a very rapid pace and Microsoft Turing models, both for language representation and generation, are at the cutting edge bringing the very best of deep learning capabilities and Microsoft’s innovation into its product family. But nothing makes our entire team prouder than bringing this innovation to our Bing users worldwide, helping them find the trustworthy answers they need, whatever language they speak and wherever they are on the planet.

We would love to hear your feedback or suggestions! You can submit them using the Feedback button in the bottom right corner of the search results page, or directly to our new Twitter alias @MSBing_Dev.

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