Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

77% of Brands Are Invisible to ChatGPT. The Ones That Aren't Convert 3x Better. An analysis of 2,089 brands found AI-referred visitors convert at 3x the rate of visitors from Google Search, but most ...

Overview: Data science tools help startups convert raw data into actionable insights for smarter, faster ...

Axiom set the Y Combinator revenue record. Then ZachXBT found a senior employee had surveilled hundreds of thousands of user ...

Analytics systems that usually sit downstream of transformed data in a data warehouse are often siloed from core production systems. In many business contexts, there is an assumption that while ...

Overview: Modern .NET productivity depends on libraries enabling resilience, observability, messaging, and clean architectural separation at scale.High-performa ...

Feedback is excited to learn that University of Maryland researchers are measuring farts in a bid to build a Human Flatus ...

Learn how RAG grounds AI in plant knowledge while MCP enables safe execution to transform industrial AI recommendations into controlled, compliant actions.

Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration - ...

Discover how data lake consulting helps organizations design, secure, and optimize scalable data architectures for analytics, AI, and business growth.

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

Five essential strategies to reduce costs, avoid licensing risk, simplify operations, and future-proof your data infrastructure for the AI era.