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Conversational AI: What is it & how does it work
One of the most common applications of conversational intelligence software is chatbots, which use NLP to interpret user inputs and carry on a conversation. Other applications include virtual assistants, customer service chatbots, and voice assistants. Savvy consumers expect to communicate via mobile apps, the web, interactive voice response (IVR), chat, or messaging channels. They look for a consistent and enjoyable experience that’s fast, easy, and personalised. 
For businesses, the key to meeting and exceeding these expectations across channels and at scale is intelligent automation. Conversational artificial intelligence (AI) powers interactions that are near humans, improving CX, boosting satisfaction, driving loyalty, and increasing customer lifetime value (LTV). Driven by underlying machine learning and deep neural networks (DNN), a typical conversational AI flow includes:
An interface that allows the user to input text into the system or Automatic Speech Recognition (ASR), a user interface that converts speech into text. 
Natural language processing (NLP) extracts the user's intent from the text or audio input and translates the text into structured data.
Natural Language Understanding (NLU) to process the data based on grammar, meaning, and context; to comprehend intent and entity; and to act as a dialogue management unit for building appropriate responses.
An AI model that predicts the best response for the user based on the user's intent and the AI model's training data. Natural Language Generation (NLG) infers from the above processes and forms an appropriate response to interact with humans.
Conversational AI brings together a range of advanced capabilities for an omnichannel UI, contextual awareness, language processing, response generation, intent management, exception/escalation management, advanced analytics, and integration. Cerina Studio is one such intelligent conversational platform where the goal is to incorporate and seamlessly integrate the unique experiences that have been acquired while perfecting Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing (NLP), and live agent support. Powered by 180+ language technology, the studio kit provides a complete conversational experience. The android keyboard and intent technology platform were developed over many years of learning and development. In many cases, the user interface, NLP, and AI model are all provided by the same provider, often conversational intelligent software. However, it is also possible to use different providers for each of these components
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Deep Learning Neural Networks Market Demand To Massive Growth with Leading Players | NEURALWARE, NVIDIA CORPORATION, SKYMIND INC.
Deep Learning Neural Networks Market rapidly increasing digitization is boosting global deep learning neural networks market. The digital transformation helps to adapt the advanced technology which provides the ease to collect the data, while the data is important and essential part of the artificial intelligence. The data helps Europe deep learning neural networks (DNNs) market to recognize the pattern and do the prediction.
Europe deep learning neural networks (DNNs) market is projected to register a healthy CAGR in the forecast period of 2019 to 2026.
 Get Sample Report at :
https://www.databridgemarketresearch.com/request-a-sample/?dbmr=europe-deep-learning-neural-networks-dnns-market
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Competitive Analysis: Europe Deep Learning Neural Networks Market
Few of the major competitors currently working in Europe Deep Learning Neural Networks Market are ALYUDA RESEARCH, LLC, ALPHABET INC.(google), IBM, Micron Technologies, Inc., Neural Technologies Limited, NEURODIMENSION, INC., NEURALWARE, NVIDIA CORPORATION, SKYMIND INC, SAMSUNG, Qualcomm Technologies, Inc., Intel Corporation, Amazon Web Services, Inc., Microsoft, GMDH LLC., Sensory Inc., Ward Systems Group, Inc., Xilinx Inc., Starmind and  among others.
 Key Pointers Covered in the Europe Deep Learning Neural Networks Market Trends and Forecast to 2026
Europe   Deep Learning Neural Networks Market New Sales Volumes
Europe   Deep Learning Neural Networks  Market Replacement Sales Volumes
Europe   Deep Learning Neural Networks Market Installed Base
Europe   Deep Learning Neural Networks Market By Brands
Europe   Deep Learning Neural Networks Market Size
Europe   Deep Learning Neural Networks  Market Procedure Volumes
Europe   Deep Learning Neural Networks Market Product Price Analysis
Europe   Deep Learning Neural Networks Market Healthcare Outcomes
Europe   Deep Learning Neural Networks Market Cost of Care Analysis
Europe   Deep Learning Neural Networks Market Regulatory Framework and Changes
Europe   Deep Learning Neural Networks Market Prices and Reimbursement Analysis
Europe   Deep Learning Neural Networks Market Shares in Different Regions
Recent Developments for Europe   Deep Learning Neural Networks Market Competitors
Europe   Deep Learning Neural Networks Market Upcoming Applications
Europe   Deep Learning Neural Networks Market Innovators Study
Get Detailed TOC:
https://www.databridgemarketresearch.com/toc/?dbmr=europe-deep-learning-neural-networks-dnns-market
Key Developments in the Market:
In May 2019, Google has announced that its own chip which will accelerate Deep Learning training and inference, known as the TensorFlow Processing Unit (TPU), this will doubles down on NVIDIA GPUs for inference. To predict properties of new input data AI inference processing is used which is a trained neural network. This helps Google customers to express a preference for a cost-effective GPU for training and inference.
In February 2019, IBM launched drive next-generation AI hardware to develop nanotechnology, nucleus of a new ecosystem of research and commercial partners will be the IBM Research AI Hardware Centre. The collaboration with partners will help in accelerate the development of AI-optimized hardware innovations.
 Segmentation: Europe Deep Learning Neural Networks (DNNs) Market
Europe deep learning neural networks (DNNs) market is segmented into three notable segments which are component, application and end-user.
On the basis of component, Europe deep learning neural networks (DNNs) market is segmented into hardware, software and services
On the basis of application, Europe deep learning neural networks (DDNs) market is segmented into image recognition, speech recognition, natural language processing, data mining
On the basis of end-user, Europe deep learning neural networks (DNNs) market is segmented into banking, financial services & insurance (BFSI), it & telecommunication, healthcare, retail, automotive, manufacturing, aerospace & defence, security and others 
 Inquire Before Buying:
https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=europe-deep-learning-neural-networks-dnns-market
Research Methodology: Europe Industrial Services Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation.
Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Key insights in the report:
Complete and distinct analysis of the market drivers and restraints
Key Market players involved in this industry
Detailed analysis of the Market Segmentation
Competitive analysis of the key players involved
About Us:
Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market.
Contact:
Data Bridge Market Research
Tel: +1-888-387-2818
Browse Related Report Here:
LED Matrix Boards Outdoor LED Display Market
Cloud ERP Market
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researchtrendingnews · 5 years ago
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Deep Learning Neural Networks Market Shows Strong Growth with Leading Players | NEURALWARE, NVIDIA CORPORATION, SKYMIND INC, SAMSUNG.
Deep Learning Neural Networks Market rapidly increasing digitization is boosting global deep learning neural networks market. The digital transformation helps to adapt the advanced technology which provides the ease to collect the data, while the data is important and essential part of the artificial intelligence. The data helps Europe deep learning neural networks (DNNs) market to recognize the pattern and do the prediction.
Europe deep learning neural networks (DNNs) market is projected to register a healthy CAGR in the forecast period of 2019 to 2026.
 Get Sample Report at :
https://www.databridgemarketresearch.com/request-a-sample/?dbmr=europe-deep-learning-neural-networks-dnns-market
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Competitive Analysis: Europe Deep Learning Neural Networks Market
Few of the major competitors currently working in Europe Deep Learning Neural Networks Market are ALYUDA RESEARCH, LLC, ALPHABET INC.(google), IBM, Micron Technologies, Inc., Neural Technologies Limited, NEURODIMENSION, INC., NEURALWARE, NVIDIA CORPORATION, SKYMIND INC, SAMSUNG, Qualcomm Technologies, Inc., Intel Corporation, Amazon Web Services, Inc., Microsoft, GMDH LLC., Sensory Inc., Ward Systems Group, Inc., Xilinx Inc., Starmind and  among others.
 Key Pointers Covered in the Europe Deep Learning Neural Networks Market Trends and Forecast to 2026
Europe   Deep Learning Neural Networks Market New Sales Volumes
Europe   Deep Learning Neural Networks  Market Replacement Sales Volumes
Europe   Deep Learning Neural Networks Market Installed Base
Europe   Deep Learning Neural Networks Market By Brands
Europe   Deep Learning Neural Networks Market Size
Europe   Deep Learning Neural Networks  Market Procedure Volumes
Europe   Deep Learning Neural Networks Market Product Price Analysis
Europe   Deep Learning Neural Networks Market Healthcare Outcomes
Europe   Deep Learning Neural Networks Market Cost of Care Analysis
Europe   Deep Learning Neural Networks Market Regulatory Framework and Changes
Europe   Deep Learning Neural Networks Market Prices and Reimbursement Analysis
Europe   Deep Learning Neural Networks Market Shares in Different Regions
Recent Developments for Europe   Deep Learning Neural Networks Market Competitors
Europe   Deep Learning Neural Networks Market Upcoming Applications
Europe   Deep Learning Neural Networks Market Innovators Study
Get Detailed TOC:
https://www.databridgemarketresearch.com/toc/?dbmr=europe-deep-learning-neural-networks-dnns-market
Key Developments in the Market:
In May 2019, Google has announced that its own chip which will accelerate Deep Learning training and inference, known as the TensorFlow Processing Unit (TPU), this will doubles down on NVIDIA GPUs for inference. To predict properties of new input data AI inference processing is used which is a trained neural network. This helps Google customers to express a preference for a cost-effective GPU for training and inference.
In February 2019, IBM launched drive next-generation AI hardware to develop nanotechnology, nucleus of a new ecosystem of research and commercial partners will be the IBM Research AI Hardware Centre. The collaboration with partners will help in accelerate the development of AI-optimized hardware innovations.
 Segmentation: Europe Deep Learning Neural Networks (DNNs) Market
Europe deep learning neural networks (DNNs) market is segmented into three notable segments which are component, application and end-user.
On the basis of component, Europe deep learning neural networks (DNNs) market is segmented into hardware, software and services
On the basis of application, Europe deep learning neural networks (DDNs) market is segmented into image recognition, speech recognition, natural language processing, data mining
On the basis of end-user, Europe deep learning neural networks (DNNs) market is segmented into banking, financial services & insurance (BFSI), it & telecommunication, healthcare, retail, automotive, manufacturing, aerospace & defence, security and others 
 Inquire Before Buying:
https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=europe-deep-learning-neural-networks-dnns-market
Research Methodology: Europe Industrial Services Market
Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation.
Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Key insights in the report:
Complete and distinct analysis of the market drivers and restraints
Key Market players involved in this industry
Detailed analysis of the Market Segmentation
Competitive analysis of the key players involved
About Us:
Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market.
Contact:
Data Bridge Market Research
Tel: +1-888-387-2818
Browse Related Report Here:
LED Matrix Boards Outdoor LED Display Market
Cloud ERP Market
0 notes
ncodetechnologiesinc-blog · 5 years ago
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How DotNetNuke is feature-rich in providing extensibility through addons?
Most of the businesses look for a CMS platform that can provide add-ons to simplify the complexity of managing contents, provides accordant user-interface experience throughout all administrative controls. Its architecture allows users to create multiple websites beyond the basic web application framework pertaining to ASP.NET technology. Interestingly, ASP.NET WebForums handles each and every website’s list of pages which might include modules controlled by Web API layer providing specific functionalities to every end-user. For every business, DNN helps them to store data on cloud storage which is trusted, secure and safe.
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Every feature offered by DNN is never constant but keeps improving to the next level. The skinning engine of DNN is so smooth and easy to handle. DNN specializes in providing role assignments, access to the dynamic content in the most flexible in quick steps. Again DNN is highly advantageous for administrative tools to completely integrate into the website when compared to other CMS platforms.
When we compare DNN with Wordpress, the prior is highly preferable or mid-size companies to enterprise-level companies.
What makes DotNetNuke is so special?
DotNetNuke development company india, being an open-source Web Application Framework is a perfect match for creating portals, intranets, extranets, and customized websites. Even if you have very little knowledge about the programming language, still you can manage DNN administrative tools that are easily accessible and also create pages like FAQs, discussion forums, feedback forms and man other similar pages. DNN provides important tools and features that are required to handle and manage a website. The best part is its capability to give complete control over the content, user management, security controls and layouts of the website.
How extensibility feature in DNN is productive for your website?
One of the most important aspects of DotNetNuke where it stands tall and steady among other CMS-based platforms is its extensibility. Whenever you are working on a project there is every possibility that you may need to integrate third-party modules with customized websites. Top DNN CMS Development Companies USA  is advantageous over providing built-in cloud computing support that makes it highly scalable.
DNN has the capability to implement pluggable modules adding new functionalities to the website. The skins within DNN can be very resourceful in changing the look and feel of a website with improved design, functionalities, and user-experience. Each and every interface provided for skins, modules, and providers are well-structured and documented that are supported by programmer’s manuals giving a handful of opportunities for third-party developers helping them to create customized components. To use third party modules within a website are provided by developers and open source communities in order to reduce the pain of using programming and you can easily install them after uploading through administrative pages.
DNN’s extensibility feature is a conceptualized implementation for websites keeping in mind future growth. Today, if you look more than 10,000+ low budget extensions are enough to help to create an engaging and appealing website from a client perspective.
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pixelproductions · 6 years ago
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Top Tips For Performance Tuning for Your DNN Website
Running a DotNetNuke (DNN) Website? Here are your tips for performance tuning your DNN website for customers and search engines.
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To say that your website performance is important is a pretty big understatement.
Today, website users are more demanding and less patient that ever. If pages don’t stack rapidly, chances are — you’ll lose them. Once site visitors leave a site that was lacking, rarely do they ever come back.
Search engines take site performance seriously as well. Google takes into consideration site speed, bounce rate, dwell time, mobile friendliness and much more for search rankings.
This leaves business owners with a pretty big consideration when choosing their website operating system. For those of you who have chosen a DNN website, this post is going to cover performance tuning that site.
Background:
DotNetNuke (DNN Evoq) is an open-source CMS framework, like WordPress, Drupal, or Joomla. This implies the code is open for any website developer to develop, improve, and adjust.
Why Developers Choose DNN
DNN development is completely adjustable and the framework is continually being developed, which makes it flawlessly fit just about every business or association’s one of a kind needs. Basic, creative features like Modules (additional items) and Skins (design layouts) complete the user friendly package. DotNetNuke (DNN Evoq) provides the functionality and speed to help with a variety of objectives and alternatives.
All that to be said, let’s dive into performance tuning your DNN site to take it to that next level.
Top tips for performance tuning for your DNN website
1. Optimize the images
While it should be obvious that larger images bring about longer loading times (since your program is pulling down more information) — this continues to be a huge issue.
Pick the correct size for the job:
I’m not going to lie, this has become exponentially harder with so many different browsers, display resolutions and responsiveness in web design. In short, there is no upload one perfect size and your done. Ultimately, you need to be serving up the best aspect ratio for the specific users browsing and display preference.
One of the coolest image formats is the SVG…
SVGs let us forget about screen resolution issues, because browsers automatically scale up SVGs for retina devices and responsive layouts, so that a 500×250 pixel SVG image will render crisply on both standard and retina devices.
Unfortunately, most images are raster images; which means they’re defined by their pixel size.
This means you’re going to need to serve up several versions of the same image. Don’t worry, it’s not as bad as it sounds, click here for a great guide on optimizing your images.
2. Optimize the HTML
Try not to copy or paste from different applications, for example, word processors. They can bring about various complex HTML which will in turn slows down the load time on your webpage. Likewise, utilize basic (not nested) structures in your HTML and stay benchmarks agreeable, as programs will have the option to parse your page more proficiently. At long last, realize that whitespace is useful for readability (for people), however add to the general size (in bytes) of your page.
3. Reduce the requests of HTTP
When creating or even customizing website files javascript, js, css and other website calls can quickly get out of hand. Well optimized websites keep these files clean and consolidated to minimize requests. Combine those documents into a small set when your page goes live and you can decrease the number of HTTP requests to your web servers. Javascript documents can be joined also. Moreover, investigate image sprites, which enable you to join a few images into one. From that point, you can utilize CSS to manage which segment of the joined image gets rendered.
4. Use the text rather than images
For good performance you need to balance good design with good implementation. A great example of this is the use of text in images. Often times designers are able to create cool text effects embedded directly into images. Unfortunately, live text renders a lot quicker than text in pictures. For user experience and search engines combining html text with minimized images is the most viable for SEO. Continuously use text (versus pictures) for headers.
5. Minimize the CSS and scripts
If it’s not completely required, it shouldn’t be there: evacuate whitespace, reduce the copy entries and expel unused code.
Some free resources that can help: • YUI Compressor: The Yahoo! JavaScript and CSS Compressor • JSCompress: Online Javascript Compression Tool • CleanCSS: CSS Formatter and Optimiser
6. Do use a content delivery network (CDN)
Content Delivery Networks (CDN) can be powerful for presenting static content, including pictures, file downloads, and multimedia. They are focused on providing superior performance and high availability Their distributed nature implies that content is being presented “closer” to the end client.
7. Cache the output
This might be a marginally further developed topic, yet you can optimize the performance by performing reserving at both the server-side and browser (client) side. Server-side caching limits the quantity of questions you make to the database server, while browser caching can diminish HTTP payload and requests.
8. Avoid the bad requests
Check out the HTTP 404 errors (“Page Not Found”) and stay away from re directs on resources. Likewise, screen server errors and work with the developers to address the repeated errors.
9. Enable the GZip compression
Use gzip compression to diminish the size of page content. The subsequent page content can be transmitted quicker, however this requires extra processing power on the customer (program) side.
10. Go with the infrastructure wisely
Regardless of whether you’re hosting your site “on premise,” with a hosting provider or with a cloud supplier, you’ll get what you pay for. In case you’re running a creation quality site (for example blackouts can influence your business or association), and try to avoid shared hosting. Rather, guarantee that the hosting infrastructure is devoted to your site.
  Sometimes, choosing the right hosting agency right from the start can help eliminate many of these issues. For example LiquidWeb is a fully managed VPS hosting company that includes; CloudFlare CDN and other performance enhancing features.
Good luck with your DNN website and leave your optimization tips in the comments below.
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cmsdevelopmentcompany · 6 years ago
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The Benefits of Using A .NET CMS for Your Business Website
Developers have always been looking for a platform that can help them create CMS websites that serve the purpose of managing web content. 
A content management system helps the admins and the publishers to edit and modify the content and also maintain the central interface. 
Such systems provide procedures to manage the workflow in a collaborative manner.
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.Net has always been used by numerous developers for creating apps and services on multiple devices and operating systems. The reason why it stands out is because of its wide range of features that it offers. 
The .net developers can get access to the code execution environment to reduce the conflicts during the deployment and also versioning of the framework.
Some Advantages of Choosing .Net CMS for Your Project?
Most CMS developers choose to use .NET because if its rich features and also for the variety of applications that it can be used for. Here, let’s be more specific and consider some advantages of using .NET development:
Object Oriented: Everything that you find in the .NET framework is an object and it is just the same that you write within the framework. 
This means that you now have a powerful tool that can help you access and control all your apps. This makes it easy for you to respond to the recurring events.
Easy To Maintain: Websites that are created using the .NET CMS are simple and easy to maintain.  This is because the source code as well as the HTML are both together and the source codes execute on the server. This makes the web page very powerful and flexible.
Feature Rich: .NET CMS platforms come up with a wide range of features that can be easily explored by the CMS development company to create powerful apps. 
The rich tool allows you to access features as automatic deployment, WISIWUG editing and also the drag and drop controls.
Consistency: The monitoring and management of all the processes are performed by the framework. In case one of the processes is dead, a new one can be easily created and this allows your CMS development application to be consistently available for handling the requests.
Some Top .NET CMS That Can Be Used for Your Business:
Sitefinity: This is a popular CMS and helps to create compelling websites, portals, blogs and intranets. It offers many features and is simple and easy to use. 
The revolutionary User Interface is very task oriented and also simplifies the user interaction with any third party system. 
Sitefinity is based upon .NET and this makes setting up the front end of the site very straight forward.
Also Read: Why is it Recommended to Hire an ASP.NET Agency in India?
DotNetNuke: DNN CMS is an extensible, open, secure and scalable CMS that has powered more than 800,000 websites across the globe. 
It is a popular open source CMS that is based on Microsoft .NET. The DNN platform can be used to quickly create and deploy rich, and highly interactive websites and web applications.
Umbraco: This is another .NET CMS platform that helps to create anything ranging from small campaigns to brochure sites to any other complex websites or applications. 
Umbraco is very easy to learn and use, and also simple to customize and it is robust enough to run any sites. The .net architecture and the active community make it the best choice for website CMS development.
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Hire Asp Net Developer -Important Information that help for Develop the Website
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Hire Net Developers
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These days many hosts have many money back schemes present with money back guarantee. This is to allow the customers to test the support and applications. The simplest way is to "break" the DNN. The efficiency of the providers will lie associated with prompt solution to manage the problem and the assistance extended by them.
IT professionals are employed and been trained in a single field or specialisation - such equally.hiring asp net developers in india asp net developers in india, Windows administrators, network engineers, SQL database administrators. Individuals each ultimate roles would ideally find a way to do their role very well, but couldn't be rrn a position to perform other roles. Often to select a specialisation to obtain the most from your IT career create it for you to find a project.
Finally, domains with multiple hyphens are often considered cheap and spammy. I indicates that having one or two hyphens in your domain is ok, but any upwards of that anyone may have a harder moment taken intensively.
After in order to picked your niche, your next thing to make is use a keyword tool to look for a website name that receives a substantial number of searches every 4 weeks. Although happen to be a connected with excellent keyword tools that cost a great many dollars or more, may find also some great free tools available on his or her Internet.
It really mentioned here that hiring Dot Net programmers undoubtedly an advantage in software programming industry. They not only have expertise but the experience creating the right for you. The programming industry surely cannot do without them today too the coming years as in fact.
Mobile/smartphone/iPad apps seem with regard to the rage these hours.  their skills to create apps on java phones etc.
This is a technology as a result provided by Microsoft, and it has been a popular and well-known piece of technology a lot of people tend to be satisfied various the years. However as time passes, it is important to upgrade and update yourself with the right technology and the right resources in order to your website the best development, design and active kind a person have always craved needed for. With the .net development framework opportunities for having prosperous functions in internet site are huge.
One of the most basic things to pay attention to that yields much for you to get a new website ranked within the first one ten serps is to ensure the website address is keyword rich. The following paragraphs will show you ways to may have.
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I designed roadblocks as i can. I attempt to create an online outlet for my prospect to get more information before they actually pick inside the phone and make contact with me. Take part in want to be on cell phone all day although that sometimes occurs.
When .NET 3.5 arrived, it offered some extremely sought after components for instance Windows Presentation Foundation and Windows Work-flows. These two subsystems alone provided substantial benefit to .hiring asp net developers in india asp net developers in india and firms using them alike.
This means trimming body fat. You have to cut the ties with outdated thinking and aspects that will bleed your account dry, (television and radio being just the beginning). Your online could relax in the dumpster because of outdated deciding.
Having a website that uses your real name has some advantages and disadvantages. For just one thing, people tend don't forget your name and should find your corporation. Also, you're unengaged to blog about any subject you want - wishes not always a good thing as it's advisable to keep a blog to a definable topic area. But, it means you can slowly replace the subject of the blog into other related areas when your interests or business niches change.
There are lots actions you can do, however important to do something to move towards this tool.  It'd seem similar to long time away, or even unattainable goal, but you will have completed your career planning and then have identified some actions and after this it's time to move towards it!
For More Information : https://www.allianceinternational.co.in/
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our13belowconsulting-blog · 6 years ago
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Dotnetnuke the best CMS platform
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Dotnetnuke is the best platform to develop a website if you want to develop your website in CMS. To build a good CMS website using DNN, the developer needs an in-depth knowledge, analytical approach and thorough technical knowledge of cutting edge. 
13 Below Consulting has years of experience and in-depth knowledge in the .NET Consulting and DotNetNuke Consulting. We handle DNN projects on turnkey basis. We design DNN skins and Write DNN modules. Our DotNetNuke developers have developed DNN business portals, intranet applications, custom DNN web applications and websites based on DotNetNuke
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Conversational AI: What is it & how does it work
One of the most common applications of conversational intelligence software is chatbots, which use NLP to interpret user inputs and carry on a conversation. Other applications include virtual assistants, customer service chatbots, and voice assistants. Savvy consumers expect to communicate via mobile apps, the web, interactive voice response (IVR), chat, or messaging channels. They look for a consistent and enjoyable experience that’s fast, easy, and personalised. 
For businesses, the key to meeting and exceeding these expectations across channels and at scale is intelligent automation. Conversational artificial intelligence (AI) powers interactions that are near humans, improving CX, boosting satisfaction, driving loyalty, and increasing customer lifetime value (LTV). Driven by underlying machine learning and deep neural networks (DNN), a typical conversational AI flow includes:
An interface that allows the user to input text into the system or Automatic Speech Recognition (ASR), a user interface that converts speech into text. 
Natural language processing (NLP) extracts the user's intent from the text or audio input and translates the text into structured data.
Natural Language Understanding (NLU) to process the data based on grammar, meaning, and context; to comprehend intent and entity; and to act as a dialogue management unit for building appropriate responses.
An AI model that predicts the best response for the user based on the user's intent and the AI model's training data. Natural Language Generation (NLG) infers from the above processes and forms an appropriate response to interact with humans.
Conversational AI brings together a range of advanced capabilities for an omnichannel UI, contextual awareness, language processing, response generation, intent management, exception/escalation management, advanced analytics, and integration. Cerina Studio is one such intelligent conversational platform where the goal is to incorporate and seamlessly integrate the unique experiences that have been acquired while perfecting Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing (NLP), and live agent support. Powered by 180+ language technology, the studio kit provides a complete conversational experience. The android keyboard and intent technology platform were developed over many years of learning and development. In many cases, the user interface, NLP, and AI model are all provided by the same provider, often conversational intelligent software. However, it is also possible to use different providers for each of these components
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lookonthetechtk-blog · 8 years ago
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FPGAs and the New Era of Cloud-based ‘Hardware Microservices’
In his keynote at the Microsoft Build meeting prior this year, the leader of Microsoft's AI and Research Harry Shum implied that sooner or later the Microsoft Azure cloud administration will give engineers access to field programmable door clusters (FPGAs). Purplish blue Chief Technology Officer Mark Russinovich additionally discussed Azure uncovering "[FPGAs] as an administration for you at some point later on."
What is that FPGA-fueled future going to look like and how are designers going to utilize it?
FPGAs aren't another innovation by any methods; Traditionally, they have been held for particular applications where the requirement for custom preparing equipment that can be refreshed as extremely requesting calculations develop exceed the multifaceted nature of programming the equipment.
With processors, Russinovich disclosed to the New Stack, "the more universally useful you are, by and large, the more adaptable you are, the more sorts of projects and calculations you can drop toss at the figure motor — however you give up proficiency."
The variety of doors that make up a FPGA can be customized to run a particular calculation, utilizing the mix of rationale entryways (generally executed as query tables), math units, computerized flag processors (DSPs) to do duplication, static RAM for incidentally putting away the consequences of those calculation and exchanging hinders that let you control the associations between the programmable squares. Some FPGAs are basically frameworks on-a-chip (SoC), with CPUs, PCI Express and DMA associations and Ethernet controllers, transforming the programmable exhibit into a custom quickening agent for the code running on the CPU.
The mix implies that FPGAs can offer gigantic parallelism focused on just for a particular calculation, and at much lower control contrasted with a GPU. What's more, dissimilar to an application-particular coordinated circuit (ASIC), they can be reinvented when you need to change that calculation (that is the field-programmable part).
FPGAs have a great deal a greater number of information parallelism than CPUs.
"FPGAs hit that spot, where they can prepare surges of information rapidly and in parallel," Russinovich clarified. "They're programmable like GPU or CPU yet gone for this parallel low-inactivity world for things like derivation and Deep Neural Networks; on the off chance that you have to do online discourse acknowledgment, picture acknowledgment it's truly imperative to have that low inertness."
The weakness is that the programming and reconstructing is done in mind boggling, low-level equipment definition dialects like Verilog. Ransack Taylor, CEO of ReconfigureIO — a startup wanting to offer equipment increasing speed in the cloud by giving designers a chance to program FPGAs with Go — told the New Stack that there just aren't numerous equipment engineers who know about these.
Most FPGA improvement happens at processor advancement organizations. Furthermore, the altogether different programming model, where you're really arranging the equipment, is trying for engineers used to more elevated amount dialects.
"As a product build, you can begin composing basic equipment yet composing able equipment takes quite a long while of figuring out how to get the chance to right," Taylor said. In uncommon cases, it's conceivable to program a FPGA in a way that for all time harms it, in spite of the fact that the toolchain that projects the equipment ought to give notices.
This is one reason FPGAs have never progressed toward becoming standard, Taylor recommended. "It's the cost of doing FPGA designing. On the off chance that you can just contract a couple of costly specialists, there's just so much you can do. You wind up with exceptionally vertical particular arrangements and you don't get the percolating advancement that, say, the cloud has brought."
In any case, Taylor considers FPGAs to be a decent answer for a scope of issues. "Anything where you have information in development and you're preparing that and finding a solution and reacting to it or sharing that answer elsewhere. You could construct an in-memory database on FPGA to do measurable examination blazingly quick without going close to the CPU." Such applications could incorporate picture and video preparing, ongoing information investigation, advertisement advancements, sound, telecoms and even programming characterized organizing (SDN), which he noted is "still an enormous deplete on assets."
The ReconfigureIO approach utilizes Go Channels, which Taylor said fit the model of FPGA funnels, "yet we're dealing with a transitional layer, which we need to have be standard and open source that will give individuals a chance to utilize whatever irregular dialect they need."
The many-sided quality of programming them is the reason the Amazon Web Services FPGA EC2 F1 occasions that let you program Xilinx FPGAs are focused at clients who as of now utilize FPGA machines for their vertical workloads in genomics, investigation, cryptography or budgetary administrations and need to convey those workloads to the cloud. AWS really gives an equipment advancement pack to FPGA designs. Some of those apparatus producers like Ryft will be giving APIs to coordinate the AWS FPGA cases with their investigation stages the way their FPGA machines as of now do.
The transfer speed between two VMs inside Azure, even with a 40 gigabit arrange connector on each VM, is just around 4Gbps every second; with FPGA-quickened organizing, that goes up to 25Gbps.
FPGA sellers are beginning to offer larger amount programming alternatives, similar to C, C++ and OpenCL. AWS is depending on OpenCL FPGA programming to achieve more engineers in future, in spite of the fact that this still requires a great deal of ability and isn't really a decent match for the FPGA programming model.
"It's as yet an exceptionally obscure sort of improvement condition," Russinovich noted; "yet I think the pattern is evident that things will get increasingly open. I think you can envision sooner or later — I'm talking a far future vision here — designers utilizing distinctive dialects to compose programs with instruments that will investigate your calculation and decide, in light of profiling or examination, that this bit of your program is more productive on the off chance that we run it on FPGA and this one on GPU and this one on CPU, and engineers simply exploit the best capacities the stage brings to the table.
Keen Networks
Microsoft is adopting a fairly unique strategy. On Azure, you can really utilize FPGA-controlled administrations as of now; you simply don't have the foggiest idea about that you're utilizing FPGAs — similarly that you don't know you're utilizing streak SSDs when you utilize Cosmos DB or GPUs when you utilize Microsoft Cognitive Services. Actually, the entire Azure system depends on FPGA-fueled programming characterized organizing.
At the point when Microsoft first began placing FPGAs into Azure, it was proportional low dormancy and high throughput to frameworks with a lot of information and high movement; the ordering servers for Bing. At first, those FPGAs had their own particular system associations, however to disentangle the system topology Microsoft changed to interfacing them to an indistinguishable NIC from the server they were in. Once the FPGAs were associated straightforwardly to those system cards, they could likewise quicken the product characterized organizing that Azure uses for steering and load adjusting.
The effect of FPGAs on question dormancy for Bing; even at twofold the inquiry stack FPGA-quickened positioning has bring down idleness than programming fueled positioning at any heap.
Like custom silicon intended to go on a system card, these FPGA SmartNICs are more effective than CPUs and utilize less power. In any case, as Microsoft enhances that product characterized organizing stack to work with the 50GB and 100GB system connectors that are coming soon, the FPGAs can be reinvented — which you couldn't do with custom silicon.
These SmartNICs as of now execute the stream tables that are the premise of Azure's product characterized organizing; in future, they may likewise actualize Quality of Service or RDMA, and accelerate stockpiling by offloading cryptographic counts and blunder checking.
Sky blue Accelerated Networking has been accessible on the bigger Azure VM sizes since a year ago, for both Windows Server and Ubuntu, despite the fact that the administration is still in review and has what Russinovich called "greatly uncommon similarity issues," so you need to utilize it. It additionally has a few confinements, such as requiring separate Azure memberships on the off chance that you need to utilize it for both Windows Server and Linux. The transfer speed between two VMs inside Azure, even with a 40-gigabit arrange connector on each VM, is just around 4Gbps every second; with FPGA-quickened organizing, that goes up to 25Gbps, with five to ten times less inertness (contingent upon your application).
The effect of FPGA-quickened SDN (credit Microsoft).
The following stage is building administrations for engineers to utilize those FPGAs, regardless of the possibility that it's circuitous. "There are numerous approaches to make FPGAs accessible to engineers, including us, simply utilizing them for framework improvements that accumulate to each designer that uses our cloud, as SDN," Russinovich clarified. "We need to make profound neural system [DNN] and induction models accessible to designers, that are anything but difficult to send and simple to expend, and that is running DNN on top of FPGA so they get the best execution. They would do their preparation for instance on GPU, and present to us the models. The engineers aren't mindful it's FPGAs underneath; they simply hand the DNN model to the stage and the stage executes it in the most proficient way that is available.
Diverse ways designers will utilize FPGAs in Azure (credit Microsoft).
Russinovich exhibited the benefit of that at Build, with what he called "tens to many tera-operations, so you can get truly successful surmising." Running a similar machine learning calculation on 24 FPGAs as opposed to 24 CPUs, he demonstrated a 150-200x change in idleness and around 50 times the vitality productivity.
Designers can as of now exploit this through the Microsoft Cognitive Services APIs. "We've as of now got this underway in Bing as a feature of the following level of speeding up for Cognitive Services preparing, and also for B
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dotnetnuke19-blog · 5 years ago
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Why Dotnetnuke Development more Popular for Content Management System?
When it comes to business growth or branding, creating a website is the first thing to discuss. And for the businesses which deal with customer-centric goods, DNN CMS or Content Management System is a highly recommended web framework in the list to look for. DNN stands for DotNetNuke which is the most competent web application framework based on Microsoft .NET which helps businesses keep their audiences well-informed in terms of brands and the latest news of a company.  So, the bottom line is a good CMS helps you remain competitive in the marketplace.
Now, you might have a question as to when there is plenty of CMSs (content management systems) out there then why DNN or DotNetNuke Development is gaining momentum. So, in this article, we have tried to solve your question by giving the top 8 benefits of using DNN CMS for your business.
 Large User Base: The DNN development is very useful and that is the reasons most of the Fortune 500 brands, companies and organizations are using DNN. Some of the top companies which are using DotNetNuke are Verizon, NASA, NASCAR and to name just a few. According to some reports, there are more than 750,000 websites worldwide based on DotNetNuke.
 Quick and Flexible: Being based Microsoft ASP.NET, DotNetNuke works well with many other business applications while it provides great user-experience to the customers visiting your website.
 Feature Rich and Powerful: Having equipped with a rich text editor, DotNetNuke enables developers or vendor to update business information quickly and in a more efficient manner. Besides, unlike most other frameworks which are there with certain limitations, DotNetNuke is laden with plenty of enticing features which help both developers and businesses to updates any business information more quickly.
 High Scalability: As the web framework uses cutting-edge technologies like Visual web developer, Visual Studio which enable the framework to be more flexible and scalable.
 Secured Framework: When you hire Dotnetnuke Development Company, they confidently ensure clients regarding the projects’ security and it is all due to the security model that is built into the Content Management System architecture, making the platform protected from all external and internal harm.
 Huge Community Support: There are times when you stuck in the middle of the development or if you come across any issues, you can get quick solutions –thanks to the large community which is supported by thousands of developers from all corners of the world.
 Support for Mobile Website: DotNetNuke is popular not only for Web content management system development but also for mobile-friendly websites support. That means it helps developers creates responsive web applications which can run across multiple platforms.
 Customization: One size may not fit all businesses, hence DNN enables developers to provide tailor-made applications which you can get customization as per business size, requirement, and specification.
In short, the DNN is a very popular CMS which helps thousands of businesses achieve their business objectives with ease. At the same time, the framework is popular that you can easily find the DotNetNuke developers. So, if you are looking for DNN developers or consultations, let us know as we can help you get a better service like another can that is what we are as top DotNetNuke Development Company, committed to.
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manektechworld · 5 years ago
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ManekTech is one the best DotNetNuke application development company who provide a better solution for your business. Our Expert DotNetNuke developer offers DNN development services for Website Design, Custom Web Application Development, DNN Portal Development, DotNetNuke Custom Module Development, DotNetNuke Consulting, DNN Migration Services and solution for your business. solutions for your business.
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ifour-technolab · 6 years ago
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iFour Technolab is a custom DNN (DotNetNuke) CMS development company specialising in web application,theme and module development for the DotNetNuke website platform. Hire us now!!
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igotapps · 6 years ago
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DotNetNuke Development – The Right Tool For Web Development Today
Websites have become the prime mode of communication between businesses and their targeted audience in the internet age. With the help of the Internet, many companies have been able to increase their profits and have been able to provide better services to their customers. At the same time, businesses and organizations are now able to put across their message to their targeted audience in a far better manner. Websites have indeed revolutionized the manner in which businesses are able to communicate to their intended audience.
Companies need to provide relevant information constantly on the website to stay current in an extremely competitive world. From the perspective of the web designer, a website should be visually appealing, attractive, and current, but from the perspective of the customer, the site should be well organized and the customer should easily find what he or she is looking for. At the same time, customers should be able to pick up the product easily, easily, proceed to the checkout easily and make their payment without facing any hassles.
Amongst many proprietary and open source technologies available, DotNetNuke (DNN) is one open source technology that has the potential and the capacity to build effective and useful websites that meet even the highest expectations of Internet users today. DNN combines the expectations of the customers as well as the web designer to make a site that is an effective sales tool for visitors on the Internet.
The best part about DotNetNuke development is that users do not require any knowledge of programming to develop their websites. Site owners can easily manage the interface and easily update their databases. With DotNetNuke development, it is so very easy to present your products and services on your website in a very efficient manner. The very fact that it has a user friendly CMS makes it even more beneficial for a wide array of applications on the internet. Thus, DotNetNuke has quickly become the package of choice for a variety of websites and applications such as:
• Interactive and dynamic websites and applications • Online publishing portals • Corporate websites and ecommerce systems • Content Management Systems and Customized DNN applications
Thus, DNN is the right solution for web services of the next generation and is a much sought after package. The recently launched package is the professional edition that gives users a host of professional features and technical support. Thus, DNN has quickly emerged as a brilliant professional solution for a broad range of web services and has become the package of choice for B2B, B2C, and C2C solutions. With the rise in the popularity of DNN, a full range of DotNetNuke (DNN) development services has emerged in recent years. Some of the more popular DotNetNuke development services include:
• Business Portal Development • Module Development • Consultancy services • DotNetNuke CMS Development
Thus, going in for DotNetNuke development for your website compared to other technologies is advantageous since it is simple and straightforward to install and host. What you get is a cost effective solution with emphasis on security along with a powerful feature rich application. For these very reasons, DotNetNuke development has become one of the most popular development tools for the Internet today.
Source by John Tweak
The post DotNetNuke Development – The Right Tool For Web Development Today appeared first on Igot Apps.
from Igot Apps https://igotapps.com/fast-app-development/dotnetnuke-development-the-right-tool-for-web-development-today/
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ameliamike90 · 6 years ago
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Senior cplusplus Developer job at XRVision Singapore
XRVision is an awarded Startup company specializing in Enterprise-grade Video Analytics in highly challenging environments. XRVision’s software platform is leveraging cutting edge cloud/on-premise, computer vision, DNN and IoT technologies that operate in Real-Time.
The company is led by globally renowned experts who previously headed large groups at Microsoft, Intel and Avaya. The company has offices in Singapore (Ayer Rajah, Blk75), US (New York) and israel
We are looking for a highly experienced cplusplus Developer to join our R&D team which delivers an enterprise scale Computer Vision solutions to global customers. You will conform to high standards of code and design, working in a cutting edge, dynamic, and professionally challenging environment.
Responsibilities
Develop end-to-end modules on multiple platforms (primarily Windows, with some Linux and Android)
Participate in architectural and system design activities
Research new technologies, platforms, frameworks and tools
Follow and contribute to software development best practices
Qualifications
Highly Proficient in cplusplus development
Min 7 years of cplusplus development on at least one of the following: Windows, Linux/Android
Min 2 years of experience with Server development in low-latency/high-performance environment (i.e. Communication-related, Transaction-related, Video-related, Web-related etc.)
Bonus Area: Experience with cplusplus development of Computer Vision related applications (i.e. Image processing, video processing, video streaming, GPU/CUDA, VMS integration etc.)
Bonus Area: Experience with Video-related network application protocols such as RTSP, RTP etc.
Bonus Area: Practical experience with .NET Framework 3.5-4.5
Personal Competencies
Innovative, motivated and a quick learner
Ability to work well in a small team and take end-to-end ownership of problems and their resolution
Attention to detail, curiosity, and passion for technology
Benefits
Competitive base salary based on qualifications and experience
Generous stock options package
Participation in a bonus program
Informal and exciting work environment with flexible hours
An option to occasionally work from home
Unique opportunity to work with a talented global team on cutting edge technologies
StartUp Jobs Asia - Startup Jobs in Singapore , Malaysia , HongKong ,Thailand from http://www.startupjobs.asia/job/41450-senior-cplusplus-developer-back-end-developers-job-at-xrvision-singapore Startup Jobs Asia https://startupjobsasia.tumblr.com/post/180336420589
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