Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.

Over the past two decades, retail has come a long way from brick-and-mortar to online. The future is even more exciting as contextual commerce promises to transform the customer experience. So, what ...

AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.

As the connected home becomes more complex (the average house now contains 22 connected devices), I believe that context is the next great differentiator. Too many communication service providers ...

As AI systems expand across teams and use cases, organizations often add metadata, filters and application-level logic to compensate for missing business context. Initially, this approach works. Over ...

The Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...

Advertising is about reaching the right person at the right place at the right time. Contextual targeting is commonly used to find the “right place.” Yet, earlier this year, this fundamental feature ...

The GCC is experiencing rapid growth in digital consumption – from streaming and social media to online news and long-form content. Yet many advertisers still rely on legacy targeting models that ...