Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

In the midst of an artificial intelligence boom that’s reshaping almost every facet of the business world, companies are competing in an arms race to build the best and brightest models and fully ...

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Artificial intelligence (AI) is hungry for data—the more real-world data we can give it, the better. AI applications can deliver immense value when provided with a continuous stream of robust, ...

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 ...