Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

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, ...

Legacy systems cause chaos for AI agents. A universal context layer provides the secure framework needed to govern data and ...

The past ten years have seen incredible advancements in the realm of Artificial Intelligence, but paradoxically, some of the most overt shortcomings of AI are still based not on intelligence but on ...

What if the way AI agents interact with tools and resources could be as seamless as browsing the web? Imagine a world where developers no longer wrestle with custom-built adapters or fragmented ...

AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...

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, ...

Integration leverages Model Context Protocol to connect demand- and supply-side platforms in a unified diagnostic workflow ...