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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

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Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence

Smart Data Collective

These models, capable of producing content, simulating scenarios, and analyzing patterns with unprecedented fluency, have rapidly become essential to how businesses interpret data and plan strategy. The Importance of Training Data Outcomes are only as strong as the input.

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Navigating the AI Ecosystem: A Developer’s Guide to Embracing Transformation

Data Virtualization

Reading Time: 2 minutes The AI ecosystem is rapidly evolving, driven by breakthroughs in machine learning, deep learning, natural language processing (NLP), and computer vision.

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Educating a New Generation of Workers

O'Reilly on Data

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. It’s less risky to hire adjunct professors with industry experience to fill teaching roles that have a vocational focus: mobile development, data engineering, and cloud computing.

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Top Predictive Analytics Models and Algorithms to Know

Jet Global

Predictive analytics models are created to evaluate past data, uncover patterns, analyze trends, and leverage that insight for forecasting future trends. Determining what predictive modeling techniques are best for your company is key to getting the most out of a predictive analytics solution and leveraging data to make insightful decisions.