The rapid evolution of large language model (LLM) deployment has surfaced a critical infrastructure gap: AI agents cap ...

What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

Snowflake's quiet Natoma buy, alongside a $6B AWS deal, reveals its real ambition: governing what AI agents do, not just storing the data they reach for.

ZoomInfo has made GTM.AI generally available as the verified data foundation that grounds AI agents across the go-to-market ecosystem, from Claude, Ch ...

Agents operate by pulling together AI intelligence and that means pushing the envelope for frontier AI models. Today, the ...

Ashay Satav is a Product leader at eBay, specializing in products in AI, APIs and platform space across Fintech, SaaS and e-commerce. Model context protocol (MCP) has been the talk of the town lately, ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; ...

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...