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Dec 11 2024

Delivering Personalized Recommendations Without Sacrificing User Privacy

In today’s fast-paced digital landscape, we all love a little bit of personalization. Whether it’s Netflix suggesting our next binge-worthy show or Spotify curating our playlists, these tailored experiences make us feel understood and valued. But with growing concerns around user privacy, how can companies achieve this level of personalization without compromising our personal data? […]

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Author: Ganapathy Subramanian Ramachandran

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Dec 3 2024

Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models

There is no doubt that machine learning (ML) is transforming industries across the board, but its effectiveness depends on the data it’s trained on. The ML models traditionally rely on real-world datasets to power the recommendation algorithms, image analysis, chatbots, and other innovative applications that make it so transformative. However, using actual data creates two significant challenges […]

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Data Visualization in the Era of AI/ML

How will data visualization evolve in the era of AI/ML? While AI is rapidly evolving, it is ironic that business users are still using “dumb” dashboards. The challenge is to move beyond these unintelligent dashboards to a genuinely transformative visual analytics solution that harnesses the power of AI/ML. While some vendors offer a ChatGPT-like querying […]

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Putting Threat Modeling into Practice: A Guide for Business Leaders

Recognizing the value of threat modeling – a process that helps identify potential risks and threats to a business’s applications, systems, and other resources – is easy enough. By providing comprehensive insight into how cyberattacks might pan out before they occur, threat modeling helps organizations prepare proactively and reduce the risk of experiencing a successful […]

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Author: Scott Wheeler and Jason Nelson

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Sep 11 2024

How Data Is Used in Fraud Detection Techniques in Fintech Business

In the rapidly changing world of financial technology (fintech), fraud is a developing area seething with vigor. Digital banking and online financial services are booming every day, bringing with them new techniques for thieves to ply their trade – not ones that can be easily dismissed. Fintech firms must now relentlessly deploy data and artificial intelligence […]

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The Future of Insurance: A Business Analyst’s Insight into Emerging Trends and Technologies

The insurance industry is undergoing a revolution, mainly driven by the application of advanced emerging technologies. The application and installation of new technologies enable a better future for our industry, where customers will receive maximum efficiency, security, and flexibility. Here, we address the major technologies and trends that influence this transition, shedding light on their […]

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Demystifying AI: What Is AI and What Is Not AI?

In recent months, particularly following the release of ChatGPT, there has been an unprecedented surge in interest surrounding artificial intelligence (AI). This heightened attention spans across a multitude of sectors, including business enterprises, technology companies, venture capital firms, universities, governments, media outlets, and more. As the interest in AI is intensifying, some companies have even […]

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How In-Database Machine Learning Transforms Decision-Making

In the contemporary landscape of data-driven decision-making, enterprises are increasingly turning to predictive analytics to gain valuable insights into future trends and behaviors. Predictive analytics involves extracting patterns from historical data to forecast future outcomes, enabling organizations to make proactive decisions and optimize their operations. Traditionally, predictive analytics has been performed using standalone machine learning […]

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Ask a Data Ethicist: How Can We Address the Ethics of Reusing Data?

Reusing data is a fundamental part of artificial intelligence and machine learning. Yet, when we collect data for one purpose, and use it for other purposes, we could be crossing both legal and ethical boundaries. How can we address the ethics of reusing data? Understand Your Data Before we address the issue of reuse, we […]

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Generative AI Challenges and Opportunities for Modern Enterprises

Generative AI (GenAI), machine learning (ML), and large language models (LLMs) are all becoming increasingly important to modern enterprises, but achieving measurable value from AI is still a challenge. Part of the issue is that a well-trained AI model relies on a large amount of data, and for many companies, organizing and making use of […]

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2024’s Predominant Technology Trend? The Cloud

As AI becomes an integral part of business processes and strategic planning, organizations have increasingly based their data strategies around its capabilities. Businesses are generating more data than ever from sources like IoT sensors, customer transactions, social media, and more; managing and extracting value from this explosion of big data has become a key priority. […]

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7 Ways AI Will Transform Data Storage

The rapid adoption of artificial intelligence and machine learning (AI/ML) over the past year has transformed just about everything – ushering in a new era of innovation and growth the world has never seen. The same goes for data storage, where the technologies’ impact will be transformative, enabling greater business agility that companies need to […]

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AI Could Save Your Data Governance Program, but It’s Unlikely

In the 1980s, there was a flurry of movies about robots coming to imprison or terrorize humanity. Forty years later, almost every business and technology publication seems to have reimagined the army of robots and artificial intelligence as trading their quest for world domination for the exciting world of business processing. It’s unlikely that most […]

Explainable AI: 5 Open-Source Tools You Should Know

Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them. Explainable AI tools are software and systems that provide transparency […]

Machine Learning Techniques for Application Mapping

Application mapping, also known as application topology mapping, is a process that involves identifying and documenting the functional relationships between software applications within an organization. It provides a detailed view of how different applications interact, depend on each other, and contribute to the business processes. The concept of application mapping is not new, but its […]

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AI-Driven Predictive Analytics: Turning the Table on Fraudsters

Fraud techniques, including phishing, vishing, deepfakes, and other scams are becoming increasingly sophisticated – making it easier than ever to perpetuate fraud at scale. This is placing businesses in danger of financial losses, and trust and reputational damage. Now, there’s an alarming trend among organized crime rings that have the potential to defraud enterprises of […]

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The Evolution of Data Validation in the Big Data Era

The advent of big data has transformed the data management landscape, presenting unprecedented opportunities and formidable challenges: colossal volumes of data, diverse formats, and high velocities of data influx. To ensure the integrity and reliability of information, organizations rely on data validation. Origins of Data Validation Traditionally, data validation primarily focused on structured data sets. […]

Forget p(Doom): Here’s How to Hold AI Accountable by Creating an Inference Economy

AI’s existential risk is no laughing matter: As much as the tech world tries to make sense of it all, nobody definitively knows whether the dystopian “control the world” hype is legit or just sci-fi. Before we even cross that bridge (real or not), however, we need to face a more immediate problem. We’re already […]

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Generative AI Trends for 2024

It sometimes seems like generative AI (GenAI) is sweeping the business world. Not so. We remain in the hype cycle, with forward-thinking organizations refraining from full-blown rollouts for the foreseeable future. Caution is important; organizations that rapidly deploy generative AI integrations have already faced blowback in the form of lawsuits and investor scrutiny. To avoid […]

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8 AI Technology and Trends That Are Steering Business Innovation

Welcome aboard the AI revolution – a transformative journey that’s redefining the business landscape. Whether you’re a seasoned entrepreneur or a startup visionary, understanding the AI trends that are steering this change is your ticket to future success. So, fasten your seatbelts; let’s focus on the AI innovations that are not just trends but necessities. […]

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Machine Learning: Challenges and Opportunities for Modern Data Executives

The transformational promise of artificial intelligence (AI) and machine learning (ML) for enterprises has fueled enormous excitement and massive investment by data executives. One estimate predicts that AI’s contribution to the global economy could reach an extraordinary $15.7 trillion by 2030. That’s more than the current combined economic output of China and India. Yet, there seems […]

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Immutable Storage: A Revolution for AI and Machine Learning Platforms

In the era of data-driven technologies, artificial intelligence (AI) and machine learning (ML) platforms depend on vast amounts of reliable and consistent data. The need for a secure, unalterable data foundation is paramount, and immutable storage has emerged as a vital tool to meet this demand. This article explores how immutable storage integrates with AI […]

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Unlocking the Power of Data: Transforming Data Architectures in the Next Data Cycle

As the world becomes ever more data-driven, enterprises and public sector organizations increasingly realize the limitations of relying solely on structured data to gain insights into their business. The next data cycle demands a shift in data architectures that also encompasses the harnessing of unstructured data. In this article, I will shed light on the […]

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Unleashing the Power of AI and ML in Data

In today’s insight-informed world, businesses of all sizes need to be able to access and analyze their data in order to make informed decisions. However, data is often siloed in different systems and difficult to access, making it challenging for businesses to get the insights they need. The demand for help to streamline these operations […]

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Managing a Freelance Data Science Team

In this dynamic era, the freelance economy is experiencing an unprecedented boom, significantly reshaping the work landscape. This shift is leading to the increasing prominence of freelance management, which includes sourcing, coordinating, and retaining independent talent in a strategic manner. This article particularly focuses on how to manage a freelance data science team, a trend […]

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🔴 Red Button Data

🔴 Red Button Data

Category Archives: Machine Learning