The Role of Reinforcement Learning in Enhancing LLM Performance

Large language models (LLMs) are the backbone of modern natural language processing. They predict words, craft sentences, and mimic human language at scale. But underneath their polished outputs lies a limitation: They only replicate patterns seen in their given or training data. What happens when we want LLMs to go beyond this – when they…

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A Front-End Engineer’s Guide to Designing Interactive Dashboards

Dashboards are the foundation of modern business intelligence. They enable the visualization and transformation of hard-to-understand data into relevant information that various departments can use for better decision-making purposes. For companies that aim to develop a data-centric mindset, dashboards serve as a dynamic system for examining trends, outliers, and key performance metrics on the fly….

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The Book Look: AI & The Data Revolution

I am just going to start off by saying that I am a Laura Madsen fan. Her writing style combines laugh-out-loud humor with practical experience, making her books both enjoyable and educational. Even some of the book’s subheadings, like “Let’s Not Do Dumb Stuff Faster” and “Kwality Is Job One,” made me laugh out loud. …

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How Can Data Visualization Help You Achieve Business Results?

Research has shown that many people learn best when they see a story or information depicted in an image. Graphs, charts with colors, lines and shapes can often tell a story and communicate issues, challenges and opportunities in a business environment. According to Forbes, “Almost eighty-thousand scientific studies attest that visual images promote retention.”  Let’s…

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Transforming Real-Time Analytics with AI-Powered Digital Twins

Data management professionals face growing challenges in handling the vast amounts of live data generated by live systems, such as transportation networks, power grids, and security infrastructures. IoT devices have proliferated widely and produce real-time data on an unprecedented scale, placing significant demands on traditional data processing methods. Legacy approaches – often reliant on batch…

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2024 DATAVERSITY Top 20

As we approach the end of another year, we here at DATAVERSITY have been busy analyzing our data and answering the big questions: What was the most popular content on our website and training center over the past 12 months? Which data management topics did you – our readers and students – seek out again…

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Prescriptive Analytics Use Cases

Optimizing business outcomes through advanced analytics and real-time scenario analysis represents a significant leap forward in decision-making processes. In practice, advanced analytics provides a framework for evaluating an extensive array of potential outcomes derived from different decision paths.  It integrates ML models that simulate various scenarios in real time, thereby offering a dynamic decision-support system….

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AI’s New Superpower: Riding the Wave of Real-Time Data

Imagine a world where AI doesn’t just predict the future – it lives in it. A world where machine learning models aren’t stuck reminiscing about last year’s data, but are instead surfing the cutting edge of now. This isn’t science fiction; it’s the new frontier of artificial intelligence, and it’s being shaped by an unlikely…

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Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain

Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources. If the data from any given source is unreliable, then the training data will be deficient and the LLM output will be untrustworthy….

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Becoming a Citizen Data Scientist Can Improve Career Opportunities

When a business decides to undertake a data democratization initiative, improve data literacy, and create a role for citizen data scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail.  Like every other cultural shift within an organization, the management team must…

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