#sales data analysis software

[zylemseo]

Looking to streamline your distribution operations and gain better control over secondary sales? Zylem offers powerful secondary sales tracking and sales tracking software designed to give you real-time insights, improve sales forecasting, and boost productivity. Our secondary sales tracking system is built to handle the complexities of modern distribution networks, while our sales analysis software, data extraction software, and business analytics software help you unlock actionable intelligence from your sales data. From tracking distributor performance to optimizing retail execution, Zylem empowers you with the tools you need to drive smarter, faster business decisions.

[techtoio]

How to Use CRM Software to Improve Customer Relations

Introduction

In today’s competitive market, maintaining strong customer relations is crucial for business success. One of the best ways to achieve this is by using Customer Relationship Management (CRM) software. This article will guide you on how to use CRM software to enhance your customer relations and boost your business performance. Read to Continue

[techninja]

The Impact of Generative AI on Supply Chain Management: Optimizing Logistics

The generative AI market has been gaining significant traction in recent years, driven by the increasing adoption of artificial intelligence (AI) across various industries. Generative AI refers to a subset of AI techniques focused on creating data, content, or outputs that mimic or resemble human-generated content. This approach enables machines to autonomously produce diverse outputs, including images, text, audio, and video, often indistinguishable from human-created content. In this article, we will delve into the current state of the generative AI market, its applications, challenges, and future outlook.

Market Size and Growth

The global generative AI market size was valued at USD 43.87 billion in 2023 and is projected to grow from USD 67.18 billion in 2024 to USD 967.65 billion by 2032, exhibiting a Compound Annual Growth Rate (CAGR) of 39.6% during the forecast period (2024-2032). This rapid growth is attributed to the rising need for creating virtual worlds in the metaverse, conversational Gen AI ability, and the deployment of large language models (LLM).

Applications of Generative AI

Generative AI has numerous applications across various industries, including marketing, healthcare, finance, and education. In marketing, generative AI is used for content creation, content personalization, content ideation, and automated customer service and support. For instance, generative AI models can write copy from an outline or prompt, and they’re handy for short-form content like blog posts, emails, social media posts, and digital advertising. In healthcare, generative AI is used for medical imaging analysis, disease diagnosis, and personalized treatment planning.

Challenges in Adopting Generative AI

Despite the numerous benefits of generative AI, there are several challenges involved in adopting this technology. Some of the key challenges include data security concerns, biases, errors, and limitations of generative AI, dependence on third-party platforms, and the need for employee training. Additionally, the market faces risks related to data breaches and sensitive information, which can hinder market growth.

Key Players in the Generative AI Market

The generative AI market is dominated by key players such as IBM Corporation, Microsoft Corporation, (Alphabet) Google LLC, Adobe, Amazon Web Services, Inc., SAP SE, Rephrase AI, Nvidia, and Synthesis AI, among others. These companies are driving innovation in the market through the development of new generative AI models and applications.

Future Outlook

The future outlook for the generative AI market is promising, with the potential to transform various industries and revolutionize the way we live and work. As the technology continues to evolve, we can expect to see more sophisticated applications of generative AI, including the creation of virtual worlds in the metaverse and the deployment of large language models. However, the market will also face challenges related to data security, biases, and limitations, which will require careful consideration and mitigation strategies.

Conclusion

In conclusion, the generative AI market is a rapidly growing field with numerous applications across various industries. While there are challenges involved in adopting this technology, the potential benefits are significant, and the market is expected to continue growing at a rapid pace. As the technology continues to evolve, we can expect to see more sophisticated applications of generative AI, which will transform the way we live and work.

[essglobe]

Mastering Efficiency: Retail Inventory Management Solutions

Business intelligence (BI) in the retail industry delivers comprehensive data on contact between customers and eCommerce stores. This data can allow merchants to make better business decisions. It can also assist brick-and-mortar stores in understanding client behavior, making merchandise adjustments, and altering prices accordingly. Business intelligence helps merchants be prepared for pricing, stock availability, trends, shipping, and more.

Optimize your retail operations with precision. Explore our advanced inventory management solutions for seamless efficiency and improved profitability.

[cyndiak]

Exploring the Benefits and Challenges of Implementing Performance Management Tools in the UAE

Performance Management Tool in UAE is a critical aspect of organizational success, businesses are increasingly turning to performance management tools to enhance employee productivity and drive better outcomes. This essay explores the benefits and challenges of implementing performance management tools in UAE.

Implementing performance management tools offers several benefits for businesses in the UAE. Firstly, these tools provide a structured approach to setting goals, tracking progress, and evaluating employee performance. By establishing clear expectations and aligning individual goals with organizational objectives, businesses can improve employee focus and engagement.

Secondly, Performance Management Tool in UAE enable continuous feedback and coaching. They facilitate ongoing communication between managers and employees, allowing for timely feedback, recognition of achievements, and identification of areas for improvement. Regular feedback fosters a culture of growth and development, enhancing employee performance and job satisfaction.

Moreover, performance management tools provide data-driven insights. They enable businesses to collect and analyze performance metrics, such as key performance indicators (KPIs), to evaluate individual and team performance. With access to real-time data, managers can make informed decisions, identify patterns, and address performance gaps effectively.

Additionally, performance management tools support the identification and development of talent. They help businesses identify high-performing employees and potential successors for key roles. By identifying skill gaps and providing targeted training and development opportunities, these tools contribute to building a strong talent pipeline and succession planning.

However, implementing performance management tools also presents challenges. Firstly, businesses need to ensure that the tools align with their unique performance management framework and processes. Customization and integration with existing systems can be complex and require careful planning and execution.

Another challenge is fostering a performance-oriented culture. Introducing performance management tools is not just about implementing technology; it requires a shift in mindset and organizational culture. Managers need to be trained on effectively using the tools and providing constructive feedback, while employees must understand the value and purpose of performance management.

Furthermore, data privacy and security are important considerations. Performance management tools involve collecting and storing employee data, and businesses must ensure compliance with data protection regulations to maintain employee trust and confidentiality.

In conclusion, implementing Performance Management Tool in UAE offers significant benefits for businesses, including goal alignment, continuous feedback, data-driven insights, and talent development. However, challenges related to customization, cultural adoption, and data privacy must be addressed for successful implementation. By leveraging the power of Data visualization Software in UAE, businesses can drive employee engagement, improve productivity, and achieve organizational success in the dynamic business landscape.

[mariacallous]

New York Gov. Kathy Hochul wants to ban the use of real estate management software that sets rent prices via algorithm—what federal prosecutors say can amount to collusion that artificially inflates rents during a nation-wide housing crisis. Hochul is expected to announce the proposal in her State of the State speech Tuesday, a week after the U.S. Justice Department sued six of the country’s biggest landlords for allegedly using “anticompetitive pricing algorithms” to set rents. “I’ve said it before and I’ll say it again: the rent is too damn high and New Yorkers need our help,” Gov. Hochul said in a statement shared with City Limits ahead of her annual address.

“Last year, we passed the most significant housing legislation in generations, working to build more supply and increase tenant protections,” Hochul continued. “There’s more work to do, which is why I’m proposing new legislation to crack down on algorithmic abuses that increase the cost of living and force rents sky-high. We need to ban the sale or use of price-fixing software—so tenants have a fair shot at an affordable home.”

Should her proposal pass, New York would join jurisdictions like San Francisco and Philadelphia in prohibiting such software, which often uses competitor data to set suggested rents. A report by the White House’s Council of Economic Advisers in December that sought to “quantify the anticompetitive impact of algorithmic pricing on rents across the country” estimated the practice cost renters $3.8 billion in 2023, what its authors warned “is likely a lower bound on the true costs.”

“Algorithmic pricing weakens competition because it can facilitate price coordination among landlords who would otherwise be competing,” the White House report reads. “Our analysis indicates that if price coordination was eliminated, there would be an economically meaningful decrease in price mark-ups for rental units using pricing algorithms.”

Among the most popular of these technologies comes from the company RealPage, which is the target of an antitrust lawsuit filed by the Justice Department, following reporting on its practices by the investigative news outlet ProPublica. RealPage has characterized the criticism against it as “demonstrably false,” saying its customers have “100 [percent] discretion to accept or reject software price recommendations.”

But in its legal complaint against the company and six major landlords who used the software, the DOJ alleges that, “RealPage replaces competition with coordination.”

“It substitutes unity for rivalry. It subverts competition and the competitive process,” the complaint reads. “It does so openly and directly—and American renters are left paying the price.”

Nationwide, nearly half of the 42.5 million renter households in the U.S. are considered rent-burdened, meaning they spend at least a third of their income on housing, according to the U.S. Census Bureau.

In New York, that rate is even higher, with more than 52 percent of renters meeting that threshold, according to an analysis by the state comptroller last year.

Gov. Hochul is set to deliver her State of the State beginning at 1 p.m. Tuesday. The speech will be livestreamed on the governor’s website here.

[botgal]

CA Internet Bills Status as of 7/17/2024

I had wanted to wait to make this post until all of the bills updated texts had been uploaded to the usual sites, but it appears what whoever's supposed to be updating AB 3080 has been lagging, so I'll just go with what I have for now. It'll be long as I'll be looking at their statuses and analyzing their updated texts so I'll put it under a cut for now.

A reminder that California's legislature is currently on recess and will be until August 5th. So no immediately imminent bills at this exact moments. But please read below the cut to get more information on the deadlines coming up.

When I last posted, all three of the bills had gone into review in their respective committees and sadly all of them passed out.

AB 3080: 11 Aye - 0 Nay

AB 1949: 11 Aye - 0 Nay

SB 976: 7 Aye - 4 No Vote

All three bills have been amended during their time in committees.

Ab 3080

AB 3080 was amended and passed from committee as amended, it is now available for a floor vote. This is the only one of the three bills where its amended text hasn't been posted anywhere I can find. However, in the analysis of the July 3rd meeting, there were acknowledgements made that not only is there no effective and safe way to verify age to view online content, but also that the existence of VPNs can circumvent any attempts to region lock sites designated as "adult" (the definition as it stands still appears to be limited to commercial websites where more than 1/3 of their content annually is sexually explicit). And that the methods to implement such a thing on commercial and non-commercial websites alike can be prohibitively expensive. So the author of the bill agreed to amendments in the bill as such according to the analysis:

"In response to the concerns of opposition, the author has agreed to amendments that allow a less restrictive means to suffice in meeting the obligation of the bill, mitigating the impact on protected speech and expression. The amendments provide that “reasonable steps” includes the business implementing a system that includes metadata or response headers identifying the product as sexually explicit to parental control software, embedded hardware applications, and other similar services designed to block, filter, monitor or otherwise prevent a minor’s access to inappropriate online content, or that blocks users designated as minors by the operating system of the device used to access the website. It also limits enforcement of this new cause of action to the Attorney General and requires the Attorney General to promulgate regulations to provide better direction for reasonable steps to verify age in addition to those listed."

So it appears that the bill may allow more websites instead to mark themselves or certain portions of their content as adult in order to be properly vetted by in-device content filters and parental controls that can be set by the device operators (or their parents in the case of minors), rather than a method that would require users to provide identification.

It's eased up quite a bit since its initial incarnation. But it's still better safe than sorry with this kind of bill, so Californians let's still push the state senators to veto this bill completely.

Organizations in support of this bill:

Organizations in opposition to this bill:

AB 1949

AB 1949 was amended and passed from committee as amended, and is currently referred to the Senate Appropriations Committee.

This one has also seen some fairly positive changes during this committee analysis as can be seen in the latest version of the bill. The latest version has removed any indications towards age verification. As well as it having changed several of its details. The bill only comes into effect and prevents the sale of data if the website has actual knowledge of the users' age, and that there shall be an option for the user to transmit a signal that they are under 18 for this purpose. Which again should help the argument against strict age verification barriers due to advertising purposes.

"a business shall not use or disclose the personal information of a consumer if the business has actual knowledge that the consumer is less than 18 years of age, unless the consumer, in the case of a consumer at least 13 years of age and less than 18 years of age, or the consumer’s parent or guardian, in the case of a consumer less than 13 years of age, has affirmatively authorized the use or disclosure of the consumer’s personal information."

"A business shall treat a consumer as under 18 years of age if the consumer, through a platform, technology, or mechanism, transmits a signal indicating that the consumer is less than 18 years of age."

But, once again, it is best to still work against this bill and prevent its passing at all in case it there's push to use it as a stepping stone for any bills which may further push an age verification agenda.

Organizations in support of this bill:

Organizations in opposition of this bill:

SB 976

This bill passed with amendments and is currently referred to the California Assembly Appropriations Committee. Unfortunately no major changes have been made. Only an amendment clarifying that any parental controls are only meant to limit access to "addictive feeds" and limit access to school hours, not any of the content. As this function still requires a "verified adult parent to a minor", this still holds open the door to potential future age verification dangers. As it still states that an application may choose to withhold services to minors altogether, and explicitly leaves open the possibility to allow provisions for age "assurance". So we definitely want to strike this one down if we can.

Organizations in support of this bill:

Organizations in opposition to this bill:

As of this moment, the California Legislature is out on recess until August 5.

The Senate Appropriations Committee (AB 1949) is set to meet on August 5, no word on whether it will be heard that day or on the next set hearing, August 12. So if you wish to send a position letter to the committee it would be best to do so a week before that date, so by July 29. Just to be safe.

No word on when the Assembly Appropriations Committee is set to meet, but the deadline for fiscal committees to pass bills through is August 16, so I expect that SB 976 will be heard before that day at least.

And AB 3080 is set to go to the senate floor rather than be seen by another committee before being read. No word on when the next bill readings will be on the assembly floor after it's reconvened August 5th, but I'll keep an ear to the ground for that.

The last day for each house to pass their bills for the year will be August 31st. So any bills we can stop before then are halted for good for the year.

And for any bills that do slip through, the last day for the governor to sign, let pass without signing, or veto bills is September 30th. So even if the bills pass from the floor to his desk, there's still time to send him messages to urge him to oppose any that slip through.

Thank you for your time, both in reading this and in taking the time to help us fight these bills.

[nsimsouthex233]

Digital Marketing Skills to Learn in 2025

Key Digital Marketing Skills to Learn in 2025 to Stay Ahead of Competition The digital marketing landscape in 2025 is rapidly changing, driven by the technological advancements, shifting consumer behavior, and the growing power of artificial intelligence. Competition and career resilience require acquiring expertise in the following digital marketing skills.

Data Analysis and Interpretation

Data is the backbone of modern marketing strategies. The ability to collect, analyze, and make informed decisions based on large sets of data sets great marketers apart. Proficiency in analytical software like Google Analytics and AI-driven tools is critical in measuring campaign performance, optimizing strategies, and making data-driven decisions. Predictive analytics and customer journey mapping are also becoming more critical for trend spotting and personalization of user experience.

Search Engine Optimization (SEO) and Search Engine Marketing (SEM)

SEO is still a fundamental skill, but the landscape is evolving. The marketer now has to optimize for traditional search engines, voice search, and even social media, as Gen Z increasingly relies on TikTok and YouTube as search tools. Keeping up with algorithm updates, keyword research skills, and technical SEO skills is essential to staying visible and driving organic traffic.

Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML are revolutionizing digital marketing through the power to enable advanced targeting, automation, and personalization. Marketers will need to leverage AI in order to segment audiences, design content, deploy predictive analytics, and build chatbots. Most crucial will be understanding how to balance AI-based automation with human, authentic content.

Content Generation and Storytelling

Content is still king. Marketers must be great at creating great copy, video, and interactive content that is appropriate for various platforms and audiences. Emotionally resonant storytelling and brand affection are more critical than ever, particularly as human-created content trumps AI-created content consistently.

Social Media Strategy and Social Commerce Social media is still the foremost driver of digital engagement. Mastering techniques constructed for specific platforms—such as short-form video, live stream, and influencing with influencers—is critical. How to facilitate direct sales through social commerce, built on combining commerce and social interactions, is an area marketers must master.

Marketing Automation

Efficiency is the most critical in 2025. Marketing automation platforms (e.g., Marketo and HubSpot) enable marketers to automate repetitive tasks, nurture leads, and personalize customer journeys at scale.

UX/UI Design Principles

A seamless user experience and a pleasing design can either make or destroy online campaigns. Having UX/UI basics in your knowledge and collaborating with design teams ensures that marketing campaigns are both effective and engaging.

Ethical Marketing and Privacy Compliance

With data privacy emerging as a pressing issue, marketers must stay updated on laws like GDPR and CCPA. Ethical marketing and openness foster trust and avoid legal issues.

To lead in 2025, digital marketers will have to fuse technical skills, creativity, and flexibility. By acquiring these high-impact capabilities-data analysis, SEO, AI, content development, social strategy, automation, UX/UI, and ethical marketing-you'll be at the edge of the constantly evolving digital space

[aktechworld]

Role of AI and Automation in Modern CRM Software

Modern CRM systems are no longer just about storing contact information. Today, businesses expect their CRM to predict behavior, streamline communication, and drive efficiency — and that’s exactly what AI and automation bring to the table.

Here’s how AI and automation are transforming the CRM landscape:

1. Predictive Lead Scoring

Uses historical customer data to rank leads by conversion probability

Prioritizes outreach efforts based on buying signals

Reduces time spent on low-potential leads

Improves sales team performance and ROI

2. Smart Sales Forecasting

Analyzes trends, seasonality, and deal history to forecast revenue

Updates projections in real-time based on new data

Helps sales managers set realistic targets and resource plans

Supports dynamic pipeline adjustments

3. Automated Customer Support

AI-powered chatbots handle FAQs and common issues 24/7

Sentiment analysis flags negative interactions for human follow-up

Automated ticket routing ensures faster resolution

Reduces support workload and boosts satisfaction

4. Personalized Customer Journeys

Machine learning tailors emails, offers, and messages per user behavior

Automation triggers based on milestones or inactivity

Custom workflows guide users through onboarding, upgrades, or renewals

Improves customer engagement and retention

5. Data Cleanup and Enrichment

AI tools detect duplicate records and outdated info

Automatically update fields from verified external sources

Maintains a clean, high-quality CRM database

Supports better segmentation and targeting

6. Workflow Automation Across Departments

Automates repetitive tasks like task assignments, follow-ups, and alerts

Links CRM actions with ERP, HR, or ticketing systems

Keeps all teams aligned without manual intervention

Custom CRM solutions can integrate automation tailored to your exact process

7. Voice and Natural Language Processing (NLP)

Transcribes sales calls and highlights key insights

Enables voice-driven commands within CRM platforms

Extracts data from emails or chat for automatic entry

Enhances productivity for on-the-go users

[digitaldetoxworld]

Data Analysis: Turning Information into Insight

 In nowadays’s digital age, statistics has come to be a vital asset for businesses, researchers, governments, and people alike. However, raw facts on its personal holds little value till it's far interpreted and understood. This is wherein records evaluation comes into play. Data analysis is the systematic manner of inspecting, cleansing, remodeling, and modeling facts with the objective of coming across beneficial information, drawing conclusions, and helping selection-making.

What Is Data Analysis In Research 

What is Data Analysis?

At its middle, records analysis includes extracting meaningful insights from datasets. These datasets can variety from small and based spreadsheets to large and unstructured facts lakes. The primary aim is to make sense of data to reply questions, resolve issues, or become aware of traits and styles that are not without delay apparent.

Data evaluation is used in truely every enterprise—from healthcare and finance to marketing and education. It enables groups to make proof-based choices, improve operational efficiency, and advantage aggressive advantages.

Types of Data Analysis

There are several kinds of information evaluation, every serving a completely unique purpose:

1. Descriptive Analysis

Descriptive analysis answers the question: “What happened?” It summarizes raw facts into digestible codecs like averages, probabilities, or counts. For instance, a store might analyze last month’s sales to decide which merchandise achieved satisfactory.

2. Diagnostic Analysis

This form of evaluation explores the reasons behind beyond outcomes. It answers: “Why did it occur?” For example, if a agency sees a surprising drop in internet site visitors, diagnostic evaluation can assist pinpoint whether or not it changed into because of a technical problem, adjustments in search engine marketing rating, or competitor movements.

3. Predictive Analysis

Predictive analysis makes use of historical information to forecast destiny consequences. It solutions: “What is probable to occur?” This includes statistical models and system getting to know algorithms to pick out styles and expect destiny trends, such as customer churn or product demand.

4. Prescriptive Analysis

Prescriptive analysis provides recommendations primarily based on facts. It solutions: “What have to we do?” This is the maximum advanced type of analysis and often combines insights from predictive analysis with optimization and simulation techniques to manual selection-making.

The Data Analysis Process

The technique of information analysis commonly follows those steps:

1. Define the Objective

Before diving into statistics, it’s essential to without a doubt recognize the question or trouble at hand. A well-defined goal guides the entire analysis and ensures that efforts are aligned with the preferred outcome.

2. Collect Data

Data can come from numerous sources which includes databases, surveys, sensors, APIs, or social media. It’s important to make certain that the records is relevant, timely, and of sufficient high-quality.

3. Clean and Prepare Data

Raw information is regularly messy—it may comprise missing values, duplicates, inconsistencies, or mistakes. Data cleansing involves addressing these problems. Preparation may include formatting, normalization, or growing new variables.

Four. Analyze the Data

Tools like Excel, SQL, Python, R, or specialized software consisting of Tableau, Power BI, and SAS are typically used.

5. Interpret Results

Analysis isn't pretty much numbers; it’s about meaning. Interpreting effects involves drawing conclusions, explaining findings, and linking insights lower back to the authentic goal.

6. Communicate Findings

Insights have to be communicated effectively to stakeholders. Visualization tools including charts, graphs, dashboards, and reports play a vital position in telling the story behind the statistics.

7. Make Decisions and Take Action

The last aim of statistics analysis is to tell selections. Whether it’s optimizing a advertising marketing campaign, improving customer support, or refining a product, actionable insights flip data into real-global effects.

Tools and Technologies for Data Analysis

A big selection of gear is available for facts analysis, each suited to distinct tasks and talent levels:

Excel: Great for small datasets and short analysis. Offers capabilities, pivot tables, and charts.

Python: Powerful for complicated facts manipulation and modeling. Popular libraries consist of Pandas, NumPy, Matplotlib, and Scikit-learn.

R: A statistical programming language extensively used for statistical analysis and statistics visualization.

SQL: Essential for querying and handling information saved in relational databases.

Tableau & Power BI: User-friendly enterprise intelligence equipment that flip facts into interactive visualizations and dashboards.

Healthcare: Analyzing affected person statistics to enhance treatment plans, predict outbreaks, and control resources.

Finance: Detecting fraud, coping with threat, and guiding investment techniques.

Retail: Personalizing advertising campaigns, managing inventory, and optimizing pricing.

Sports: Enhancing performance through participant records and game analysis.

Public Policy: Informing choices on schooling, transportation, and financial improvement.

Challenges in Data Analysis

Data Quality: Incomplete, old, or incorrect information can lead to deceptive conclusions.

Data Privacy: Handling sensitive records requires strict adherence to privacy guidelines like GDPR.

Skill Gaps: There's a developing demand for skilled information analysts who can interpret complicated facts sets.

Integration: Combining facts from disparate resources may be technically hard.

Bias and Misinterpretation: Poorly designed analysis can introduce bias or lead to wrong assumptions.

The Future of Data Analysis

As facts keeps to grow exponentially, the sector of facts analysis is evolving rapidly. Emerging developments include:

Artificial Intelligence (AI) & Machine Learning: Automating evaluation and producing predictive fashions at scale.

Real-Time Analytics: Enabling decisions based totally on live data streams for faster reaction.

Data Democratization: Making records handy and understandable to everybody in an business enterprise

[fraoula1]

𝐓𝐨𝐩 5 𝐅𝐮𝐭𝐮𝐫𝐢𝐬𝐭𝐢𝐜 𝐒𝐢𝐝𝐞 𝐇𝐮𝐬𝐭𝐥𝐞𝐬 𝐟𝐨𝐫 𝐓𝐞𝐜𝐡𝐢𝐞𝐬 𝐢𝐧 2025

In today’s fast-paced tech world, side hustles can be a fantastic way for professionals to boost their skills and earn extra income. With advancements in artificial intelligence, remote working, and a growing need for tech solutions, 2025 is filled with exciting possibilities for tech enthusiasts.

This post dives into five promising side hustles, supported by data and trends. Techies can capitalize on their expertise and thrive in these areas.

1. Remote IT Support

With businesses shifting to hybrid work models, the demand for remote IT support has skyrocketed. According to a report from the International Data Corporation (IDC), the global IT services market is set to hit $1 trillion by 2025, hinting at tremendous opportunities in this field.

Techies with skills in troubleshooting can offer services to both businesses and individuals. The TechServe Alliance notes that the demand for IT support roles surged over 10% last year, making this a vibrant market.

Starting a remote IT support hustle is easy. Freelancing platforms like Upwork and Fiverr allow techies to find clients quickly. Depending on the complexity of the service, they can earn between $25 and $150 per hour while enjoying the flexibility to work on their own schedule.

2. Cybersecurity Consulting

As cyber threats evolve, companies increasingly prioritize cybersecurity. A report from Cybersecurity Ventures predicts that costs from cybercrime could reach $10.5 trillion annually by 2025. This statistic underscores the growing need for cybersecurity professionals.

Techies with experience in cybersecurity can offer their services to businesses looking to protect sensitive data. A survey by Proofpoint found that 55% of organizations fended off phishing attacks, indicating a strong demand for seasoned professionals.

In this consulting niche, technology experts can earn between $100 and $500 per hour, based on their experience and project complexity. Earning certifications, like the Certified Information Systems Security Professional (CISSP), can significantly boost credibility and income potential.

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3. Software Development and Mobile App Creation

As the world becomes more mobile-first, demand for software and app development is expected to rise. Statista reports that the global app economy may generate over $407.31 billion in revenue by 2026, presenting a lucrative chance for techies skilled in coding.

Developers can enter this space through freelancing or by launching their own projects. Tools like React Native and Flutter allow for efficient cross-platform application development, saving both time and resources.

Freelancers can charge between $50 and $200 per hour based on expertise and project scope. For those willing to turn a side hustle into a full business, the income from app sales and in-app purchases can be enormous.

4. Data Analysis and Visualization

Data remains one of the most valuable assets today, with analytics aiding decision-making. The global data analytics market might reach $300 billion by 2026, creating fertile ground for techies skilled in data analysis.

Freelance data analysts can help companies extract valuable insights from their data. Utilizing tools like Tableau, Power BI, and R can help create compelling visualizations, making their services even more attractive.

Data analysts typically charge between $40 and $150 per hour depending on analysis complexity. Mastering data storytelling enables techies to transform raw data into practical insights, positioning themselves as key assets for businesses.

5. E-Learning Course Creation

The rapid growth of online learning has made creating and selling e-learning courses a sought-after side hustle. The global e-learning market is anticipated to reach $375 billion by 2026, driven by rising demand for skill development.

Techies can harness their knowledge to develop courses on platforms like Udemy or Teachable. Topics can range from programming languages to software tools and emerging technologies, such as AI and machine learning. Statista reported that 42% of online course creators are tech professionals, showing the market's strong bias toward technical education.

Successful courses can generate substantial passive income, sometimes yielding thousands of dollars. Since course creation has low overhead, techies can concentrate on producing high-quality content and devising effective marketing strategies.

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Unlocking New Opportunities in Tech

The side hustles mentioned offer exciting paths for tech-savvy individuals aiming to enhance their skills and income in 2025.

As technology keeps evolving, the need for skilled professionals in IT support, cybersecurity, software development, data analysis, and e-learning will continue to grow.

By leveraging their expertise and using the right platforms, techies can build rewarding side hustles that provide financial perks and opportunities for personal and career growth.

Whether solving challenging problems for clients, creating innovative apps, or imparting knowledge, the potential for side hustles in the tech sector is vast. The key is to find a niche that aligns with personal interests, engage in continuous learning, and embrace the entrepreneurial spirit in this dynamic environment.

In a landscape where technology is at the center of everyday life, techies hold a unique position to lead future innovations. Engaging in these side hustles will not only keep them relevant but also equip them for the challenges and opportunities that lie ahead.

[zylemseo]

In today’s competitive marketplace, staying on top of your sales pipeline and downstream distribution is crucial. Secondary sales tracking and advanced sales analysis software help businesses gain deeper insights into their indirect sales performance. With solutions like secondary sales tracking software, sales data analysis software, and robust business analytics platforms, companies can efficiently monitor distributor performance, identify market opportunities, and improve inventory management. By integrating data extraction software and real-time dashboards, decision-makers are empowered with actionable insights that boost operational efficiency and drive growth. Whether you're a growing enterprise or an established brand, adopting a secondary sales tracking system is key to making smarter, data-driven decisions.

FAQs:

What is secondary sales tracking software? Secondary sales tracking software helps businesses monitor product movement from distributors to retailers or end customers, enabling better visibility and control over indirect sales channels.

How does a secondary sales tracking system benefit businesses? It enhances sales forecasting, identifies bottlenecks, streamlines inventory management, and improves distributor engagement and accountability.

[christianbale121]

AI Agent Development: How to Create Intelligent Virtual Assistants for Business Success

In today's digital landscape, businesses are increasingly turning to AI-powered virtual assistants to streamline operations, enhance customer service, and boost productivity. AI agent development is at the forefront of this transformation, enabling companies to create intelligent, responsive, and highly efficient virtual assistants. In this blog, we will explore how to develop AI agents and leverage them for business success.

Understanding AI Agents and Virtual Assistants

AI agents, or intelligent virtual assistants, are software programs that use artificial intelligence, machine learning, and natural language processing (NLP) to interact with users, automate tasks, and make decisions. These agents can be deployed across various platforms, including websites, mobile apps, and messaging applications, to improve customer engagement and operational efficiency.

Key Features of AI Agents

Natural Language Processing (NLP): Enables the assistant to understand and process human language.

Machine Learning (ML): Allows the assistant to improve over time based on user interactions.

Conversational AI: Facilitates human-like interactions.

Task Automation: Handles repetitive tasks like answering FAQs, scheduling appointments, and processing orders.

Integration Capabilities: Connects with CRM, ERP, and other business tools for seamless operations.

Steps to Develop an AI Virtual Assistant

1. Define Business Objectives

Before developing an AI agent, it is crucial to identify the business goals it will serve. Whether it's improving customer support, automating sales inquiries, or handling HR tasks, a well-defined purpose ensures the assistant aligns with organizational needs.

2. Choose the Right AI Technologies

Selecting the right technology stack is essential for building a powerful AI agent. Key technologies include:

NLP frameworks: OpenAI's GPT, Google's Dialogflow, or Rasa.

Machine Learning Platforms: TensorFlow, PyTorch, or Scikit-learn.

Speech Recognition: Amazon Lex, IBM Watson, or Microsoft Azure Speech.

Cloud Services: AWS, Google Cloud, or Microsoft Azure.

3. Design the Conversation Flow

A well-structured conversation flow is crucial for user experience. Define intents (what the user wants) and responses to ensure the AI assistant provides accurate and helpful information. Tools like chatbot builders or decision trees help streamline this process.

4. Train the AI Model

Training an AI assistant involves feeding it with relevant datasets to improve accuracy. This may include:

Supervised Learning: Using labeled datasets for training.

Reinforcement Learning: Allowing the assistant to learn from interactions.

Continuous Learning: Updating models based on user feedback and new data.

5. Test and Optimize

Before deployment, rigorous testing is essential to refine the AI assistant's performance. Conduct:

User Testing: To evaluate usability and responsiveness.

A/B Testing: To compare different versions for effectiveness.

Performance Analysis: To measure speed, accuracy, and reliability.

6. Deploy and Monitor

Once the AI assistant is live, continuous monitoring and optimization are necessary to enhance user experience. Use analytics to track interactions, identify issues, and implement improvements over time.

Benefits of AI Virtual Assistants for Businesses

1. Enhanced Customer Service

AI-powered virtual assistants provide 24/7 support, instantly responding to customer queries and reducing response times.

2. Increased Efficiency

By automating repetitive tasks, businesses can save time and resources, allowing employees to focus on higher-value tasks.

3. Cost Savings

AI assistants reduce the need for large customer support teams, leading to significant cost reductions.

4. Scalability

Unlike human agents, AI assistants can handle multiple conversations simultaneously, making them highly scalable solutions.

5. Data-Driven Insights

AI assistants gather valuable data on customer behavior and preferences, enabling businesses to make informed decisions.

Future Trends in AI Agent Development

1. Hyper-Personalization

AI assistants will leverage deep learning to offer more personalized interactions based on user history and preferences.

2. Voice and Multimodal AI

The integration of voice recognition and visual processing will make AI assistants more interactive and intuitive.

3. Emotional AI

Advancements in AI will enable virtual assistants to detect and respond to human emotions for more empathetic interactions.

4. Autonomous AI Agents

Future AI agents will not only respond to queries but also proactively assist users by predicting their needs and taking independent actions.

Conclusion

AI agent development is transforming the way businesses interact with customers and streamline operations. By leveraging cutting-edge AI technologies, companies can create intelligent virtual assistants that enhance efficiency, reduce costs, and drive business success. As AI continues to evolve, embracing AI-powered assistants will be essential for staying competitive in the digital era.

[govindhtech]

UNC5537: Extortion and Data Theft of Snowflake Customers

Targeting Snowflake Customer Instances for Extortion and Data Theft, UNC5537 Overview. Mandiant has discovered a threat campaign that targets Snowflake client database instances with the goal of extortion and data theft. This campaign has been discovered through Google incident response engagements and threat intelligence collections. The multi-Cloud data warehousing software Snowflake can store and analyze massive amounts of structured and unstructured data.

Mandiant is tracking UNC5537, a financially motivated threat actor that stole several Snowflake customer details. UNC5537 is using stolen customer credentials to methodically compromise Snowflake client instances, post victim data for sale on cybercrime forums, and attempt to blackmail many of the victims.

Snowflake instance According to Mandiant’s analysis, there is no proof that a breach in Snowflake’s enterprise environment led to unauthorized access to consumer accounts. Rather, Mandiant was able to link all of the campaign-related incidents to hacked client credentials.

Threat intelligence about database records that were later found to have come from a victim’s Snowflake instance was obtained by Mandiant in April 2024. After informing the victim, Mandiant was hired by the victim to look into a possible data theft affecting their Snowflake instance. Mandiant discovered during this investigation that a threat actor had gained access to the company’s Snowflake instance by using credentials that had previously been obtained through info stealer malware.

Using these credentials that were taken, the threat actor gained access to the customer’s Snowflake instance and eventually stole important information. The account did not have multi-factor authentication (MFA) activated at the time of the intrusion.

Following further intelligence that revealed a wider campaign aimed at more Snowflake customer instances, Mandiant notified Snowflake and potential victims via their Victim Notification Programme on May 22, 2024.

Snowflakes Mandiant and Snowflake have notified about 165 possibly vulnerable organizations thus far. To guarantee the security of their accounts and data, these customers have been in direct contact with Snowflake’s Customer Support. Together with collaborating with pertinent law enforcement organizations, Mandiant and Snowflake have been undertaking a cooperative investigation into this continuing threat campaign. Snowflake released comprehensive detection and hardening guidelines for Snowflake clients on May 30, 2024.

Campaign Synopsis According to Google Cloud current investigations, UNC5537 used stolen customer credentials to gain access to Snowflake client instances for several different organizations. The main source of these credentials was many info stealer malware campaigns that compromised systems controlled by people other than Snowflake.

As a result, a sizable amount of customer data was exported from the corresponding Snowflake customer instances, giving the threat actor access to the impacted customer accounts. Subsequently, the threat actor started personally extorting several of the victims and is aggressively trying to sell the stolen consumer data on forums frequented by cybercriminals.

Mandiant Mandiant discovered that most of the login credentials utilized by UNC5537 came from infostealer infections that occurred in the past, some of which were from 2020. Three main causes have contributed to the multiple successful compromises that UNC5537’s threat campaign has produced:

Since multi-factor authentication was not enabled on the affected accounts, successful authentication just needed a working login and password. The credentials found in the output of the infostealer virus were not cycled or updated, and in certain cases, they remained valid years after they were stolen. There were no network allow lists set up on the affected Snowflake client instances to restrict access to reliable sources. Infostealer Mandiant found that the first infostealer malware penetration happened on contractor computers that were also used for personal purposes, such as downloading pirated software and playing games. This observation was made during multiple investigations related to Snowflake.

Customers that hire contractors to help them with Snowflake may use unmonitored laptops or personal computers, which worsen this initial entry vector. These devices pose a serious concern because they are frequently used to access the systems of several different organizations. A single contractor’s laptop can enable threat actors to access numerous organizations if it is infected with infostealer malware, frequently with administrator- and IT-level access.

Identifying The native web-based user interface (SnowFlake UI, also known as SnowSight) and/or command-line interface (CLI) tool (SnowSQL) on Windows Server 2022 were frequently used to get initial access to Snowflake customer instances. Using an attacker-named utility called “rapeflake,” which Mandiant records as FROSTBITE, Mandiant discovered more access.

Mandiant believes FROSTBITE is used to conduct reconnaissance against target Snowflake instances, despite the fact that Mandiant has not yet retrieved a complete sample of FROSTBITE. Mandiant saw the use of FROSTBITE in both Java and.NET versions. The Snowflake.NET driver communicates with the.NET version. The Snowflake JDBC driver is interfaced with by the Java version.

SQL recon actions by FROSTBITE have been discovered, including a listing of users, current roles, IP addresses, session IDs, and names of organizations. Mandiant also saw UNC5537 connect to many Snowflake instances and conduct queries using DBeaver Ultimate, a publicly accessible database management tool.

Finish the mission Mandiant saw UNC5537 staging and exfiltrating data by continuously running identical SQL statements on many client Snowflake systems. The following instructions for data staging and exfiltration were noted.

Generate (TEMP|TEMPORARY) STAGE UNC5537 used the CREATE STAGE command to generate temporary stages for data staging. The data files that are loaded and unloaded into database tables are stored in tables called stages. When a stage is created and designated as temporary, it is removed after the conclusion of the creator’s active Snowflake session.

UNC5537 Credit Since May 2024, Mandiant has been monitoring UNC5537, a threat actor with financial motivations, as a separate cluster. UNC5537 often extorts people for financial benefit, having targeted hundreds of organizations globally. Under numerous aliases, UNC5537 participates in cybercrime forums and Telegram channels. Mandiant has recognized individuals who are linked to other monitored groups. Mandiant interacts with one member in Turkey and rates the composition of UNC5537 as having a moderate degree of confidence among its members who are located in North America.

In order to gain access to victim Snowflake instances, Attacker Infrastructure UNC5537 mostly leveraged Mullvad or Private Internet Access (PIA) VPN IP addresses. Mandiant saw that VPS servers from Moldovan supplier ALEXHOST SRL (AS200019) were used for data exfiltration. It was discovered that UNC5537 was storing stolen victim data on other foreign VPS providers in addition to the cloud storage provider MEGA.

Prospects and Significance The campaign launched by UNC5537 against Snowflake client instances is not the product of a highly advanced or unique method, instrument, or process. The extensive reach of this campaign is a result of both the expanding infostealer market and the passing up of chances to further secure credentials:

UNC5537 most likely obtained credentials for Snowflake victim instances by gaining access to several infostealer log sources. There’s also a thriving black market for infostealerry, with huge lists of credentials that have been stolen available for purchase and distribution both inside and outside the dark web.

Infostealers Multi-factor authentication was not necessary for the impacted customer instances, and in many cases, the credentials had not been changed in up to four years. Additionally, access to trusted locations was not restricted using network allow lists.

This ad draws attention to the ramifications of a large number of credentials floating throughout the infostealer market and can be a sign of a targeted attack by threat actors on related SaaS services. Mandiant predicts that UNC5337 will carry on with similar intrusion pattern, soon focusing on more SaaS systems.

This campaign’s wide-ranging effects highlight the pressing necessity for credential monitoring, the ubiquitous application of MFA and secure authentication, traffic restriction to approved sites for royal jewels, and alerts regarding unusual access attempts. See Snowflake’s Hardening Guide for additional suggestions on how to fortify Snowflake environments.

Read more on Govindhtech.com

[essglobe]

How To Target Your Most Profitable Customers With Retail Business Intelligence

The retail industry is highly competitive, with businesses constantly vying for customer attention and loyalty. To stay ahead of the competition, retailers need to make informed and data-driven decisions. This is where Retail Business Intelligence (BI) comes into play. By harnessing the power of data analysis and advanced analytics, Retail BI enables retailers to identify and target their most profitable customers, optimize marketing strategies, and drive business growth.

[microsoft-prokey]

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