Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't

Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]

Senate passes minibus bill funding NASA, rejecting Trump's proposed cuts

After a tumultuous 2025 that saw it lose around 4,000 employees, NASA finally has an operating budget for 2026, and one that largely preserves its scientific capabilities. On Thursday, the Senate pass [...]

57% of enterprises have watched AI agents be confidently wrong. The fix is an agentic context layer, but who has one?

An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pull [...]

Tencent's Team Memory shares AI agent memory across a team — with no governance yet for when it's wrong

A VB Pulse survey this June found that 57% of enterprises had traced a confidently wrong agent answer back to missing or inconsistent context — the latest sign of how central context has become to w [...]

Enterprises with AI context layers report agent failures at more than twice the rate of those without one

A company builds a governed context layer specifically to stop its AI agents from confidently giving wrong answers. Once that layer is live, the company is more than twice as likely to report the fail [...]

AI agents aren't confidently wrong because of bad context — they're wrong because of bad data engineering

You spend weeks tuning an AI chatbot. Answers are accurate. Stakeholders sign off, and you ship it. Three months later, the system is confidently wrong about a third of what users ask. Nobody changed [...]

Cutting RAG inference costs 6x starts with deciding what never reaches the LLM

Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case straight to the language model and trust the [...]

The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context sourc [...]

Trump's defunding of NASA would be catastrophic

"This is probably the most uncertain future NASA has faced, maybe since the end of Apollo," Casey Dreier tells me over the phone. Dreier is the chief of space policy at The Planetary Society [...]