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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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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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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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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A Financial Approach to Evaluating Data, Analytics, and AI Investments

Extracting tangible business benefits from data and analytics projects, including those involving AI, has proven challenging for most enterprises. In 2019, VentureBeat reported that 87% of data and analytics (D&A) projects failed to reach production. In 2022, Gartner found that only 20% of insights derived from analytics translated into business outcomes. Despite various reasons for…

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From Instincts to Data-Driven Success: The AI-Powered Path to Product-Led Growth

Have you noticed the way that businesses grow is changing? We are moving away from standard sales-driven models to more innovative product-led tactics. And what is fueling this shift? You guessed it: AI and predictive analytics. These tools are not just fancy jargon; they are transforming how we understand customer needs, customize experiences, and upgrade…

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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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3 Examples of LLM Use in Business Intelligence

Large language models (LLMs) are advanced AI systems designed to process and generate human-like text by training on extensive datasets. They excel in tasks ranging from translation and summarization to answering questions and writing content, effectively simplifying what used to be labor-intensive, complex interactions between humans and machines. LLMs represent a transformative leap in artificial…

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Fundamentals of Descriptive Analytics

In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from Google Analytics tools. A web server’s summarized performance reports may help the user analyze…

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How AI Liberates BI Data from Dashboards

Business intelligence (BI) has historically been a platform for data and business analysts who build dashboards for executives to make decisions. But the generative AI (GenAI) explosion over the past 18 months has changed the game.  People everywhere have tasted the power of ChatGPT and now want a natural language interface to every application. But…

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