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, ...

Instead of each AI integration being custom-coded for every app, MCP provides a shared standard, so MCP-compliant systems can ...

As AI becomes central to GTM strategy, the challenge is no longer adoption but integration. Data remains locked inside walled ...

Artificial intelligence is still rapidly evolving, though there remains one fundamental constraint on its effectiveness: the provision of authentic, immediate, and permissioned access to the relevant ...

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 ...

Anthropic’s Model Context Protocol (MCP) is an open standard designed to enable secure, two-way communication between tools and data sources. Its flexibility and efficiency make it a valuable resource ...

Artificial intelligence has gone beyond being associated with highly complex algorithms or large amounts of data. Currently, the greatest complexity in artificial intelligence rests in the way answers ...

As enterprises push AI into production, they're encountering a fundamental constraint: general-purpose models lack the real-time operational context that enterprise decisions require.

Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead ...