As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

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

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprise data stacks are notoriously diverse, chaotic and fragmented.

Successful businesses require an effective data strategy. While some organisations may manage, store and integrate data efficiently, most are unable to add the context needed to make accurate ...

Anthropic is proposing a new standard for connecting AI assistants to the systems where data resides. Called the Model Context Protocol, or MCP for short, Anthropic says the standard, which it open ...

First-of-its-kind collaboration will result in like-for-like, actionable data for IT vendors and distributors across Asia Pacific, North America, Europe, and the Middle East markets Three powerhouse ...

Uniqode reports QR Codes are key for collecting first-party data, offering consent, context, and engagement insights over ...