venturebeat
AWS enters the context layer race with a graph that learns from agents, not manual curation

Building a context layer between enterprise data stores and AI agents is bespoke work, with no standard service to automate or maintain the graphs over time. Amazon is making a direct play to change that.Amazon on Wednesday entered the space, announcing a series of three products it's positioning as a context intelligence stack for AI agents. The centerpiece is AWS Context, a new knowledge graph service that gets smarter through agent usage over time. AWS also announced the general availability of Amazon S3 Annotations and a preview of skill assets in AWS Glue Data Catalog.The context layer is now a contested architectural category with no shortage of options from different vendors. AWS is entering that market with a different architectural premise: that the graph should learn from ho [...]

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venturebeat
Amazon’s OpenAI gambit signals a new phase in the cloud wars — one where exclusivity no longer applies

Amazon Web Services on Tuesday launched one of the most consequential enterprise AI plays in the company's 20-year history, simultaneously bringing OpenAI's most powerful models to its Bedro [...]

Match Score: 299.36

venturebeat
Amazon's new AI can code for days without human help. What does that mean for software engineers?

Amazon Web Services on Tuesday announced a new class of artificial intelligence systems called "frontier agents" that can work autonomously for hours or even days without human intervention, [...]

Match Score: 193.17

venturebeat
Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into [...]

Match Score: 154.45

venturebeat
AI agents keep giving confident wrong answers. The context layer is enterprise AI's next production problem.

Enterprise AI agents have a new production failure mode, and it is not the model. As enterprises move from single-layer RAG to hybrid retrieval architectures, the same underlying data produces differe [...]

Match Score: 145.84

venturebeat
AWS Quick's personal knowledge graph is making orchestration decisions most control planes can't see

Enterprise AI teams running centralized orchestration stacks now have a new variable to account for: AWS Quick, which expanded this week to a desktop-native agent that builds a persistent personal kno [...]

Match Score: 120.93

venturebeat
Microsoft takes Agent 365 out of preview as shadow AI becomes an enterprise threat

Microsoft last week took Agent 365, its management platform for AI agents, out of preview and into general availability — a move that signals the software giant believes the governance challenge aro [...]

Match Score: 120.39

venturebeat
SQL query logs hold the context AI agents need to stop hallucinating joins

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more [...]

Match Score: 120.05

venturebeat
Claude’s next enterprise battle is not models: it’s the agent control plane

New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]

Match Score: 118.45

venturebeat
Vercel breach exposes the OAuth gap most security teams cannot detect, scope or contain

One employee at Vercel adopted an AI tool. One employee at that AI vendor got hit with an infostealer. That combination created a walk-in path to Vercel’s production environments through an OAuth gr [...]

Match Score: 114.73