As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

What is conspicuously absent from debates about AI? Any serious discussion about the operational data that AI agents need to ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem plaguing generative AI investments—lack of fresh, trustworthy data—by ...

A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

Most AI tools are working with incomplete, siloed data, giving leaders a fragmented view of their own interconnected business ...

It’s increasingly recognised that moving from prompts to context is critical for achieving scalable, adaptive high-impact ...

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

Salesforce is expanding its Data 360 portfolio, integrating with Informatica to enhance the quality of core business data and enrich MuleSoft with real-time signals. Officials said the collaboration ...

In this podcast, we talk to Quantum’s enterprise products and solutions manager, Tim Sherbak, about the impacts of artificial intelligence (AI) on data storage, and in particular about the ...

In the post‑pandemic news cycle, it became easy to treat charts as a kind of journalistic spell: visualize the data and legitimacy will follow. But the flood of partisan “stat dumps” has trained ...

In January, the U.S. Energy Information Administration (EIA) said U.S. wholesale electricity prices were less volatile in 2024 than they have been over the last few years. But that’s just one, limited ...