Features


Using AI To Talk to All Your Data: Promethium

How an agent-powered data fabric can give enterprises real-time, self-service access to all their data, without breaking their stack.

Fueling the Real-Time App Revolution with AI: Vantiq

Harnessing data the moment it's created can mean the difference between missing an opportunity and seizing it.

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Why Orgs Choose OpenAI for AI -- And Why that Could Change in an Instant

Why companies overwhelmingly choose OpenAI for AI work today--and why a shift to competitors like Google, Meta or Anthropic could happen fast, according to AI expert Dr. James McCaffrey.

Turning Data Lakes into AI-Native Knowledge Engines: Dremio

Get ready for the lakehouse evolution into an AI-native platform that thinks, learns and scales alongside data analysts.

AI-Driven Security for Hybrid Networks: AlgoSec

With AI-driven, application-centric management across hybrid environments, it's a new era in network security.

Your Attention Please: Understanding AI Attention

A clear, mid-level explainer of the Attention mechanism at the heart of AI models like GPT for technical professionals who want to understand how models process input.

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How Reinforcement Learning Is Used by Large Language Models and Why You Should Care

Reinforcement learning is key to how LLMs like ChatGPT improve and avoid mistakes -- but it also introduces potential bias. We break down how it works and why understanding it matters for anyone using or building with AI.

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Understanding AI Large Language Model Transformers: an Analogy for Mere Mortals

A factory analogy demystifies how Transformers power AI like GPT -- perfect for non-data scientists seeking to grasp the basics.

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2025 AI and Machine Learning Conference Calendar

Your guide to local, global and virtual events that every enterprise should attend to stay ahead of AI trends and technologies.

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Understanding Three Fundamental AI Concepts: Embeddings, Vectors and Kernels

Anyone who uses or buys AI services should understand that a vector is a sequence of numbers, an embedding is a word translated to a vector, and a kernel is a math function that gives a measure of the similarity between two vectors.

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