EnterpriseWeb, a deep-tech software company which offers a no-code platform for contextual automation, is collaborating with Snowflake, the AI Data Cloud company, to unleash the power of network data ...

Trace is launching with $3 million in seed funding, including investment from Y Combinator, Zeno Ventures, Transpose Platform ...

NEW YORK, Feb. 17, 2026 /PRNewswire-PRWeb/ -- Syntes AI today announced the launch of its Context Graph, a new enterprise AI layer designed to solve the problem blocking AI adoption at scale: AI can ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

There were a couple of interesting milestones in the evolution of enterprise AI bubbling under the surface at Atlassian's recent Team '25 Europe event. One of them was the vendor's move to open up an ...

AI code generation for accelerating software development is gaining significant attention these days. However, this could lead to a growing bottleneck in managing all aspects that occur after ...

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

LexisNexis' chief AI officer explains why standard RAG fails in high-stakes legal AI — and how graph RAG, planner agents, and ...

Apollo GraphQL, the graph-based API orchestration leader, today announced it has joined the Agentic AI Foundation (AAIF). As a Silver member of the Linux Foundation-hosted AAIF, Apollo strengthens the ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

Researchers call this context rot: as an AI system processes more information, irrelevant details clutter its working memory. The result can be less accurate responses, higher costs, and a gradual ...