Context, not correlation, will define successful AI implementation

Discover why context, trusted data and governance matter more than AI models alone.

Everyone In AI Sells ‘Context’ Now — But It Means Different Things

AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ownership of their data’s definition layer.
ZDNet

Customer engagement: Context, meaning, and measurement

While I get set to release my newest book -- about a month from now -- I'm going to run some excerpts (maybe) and some awesome guest posts (definitely). That way, those of you starved for knowledge, ...
Science Daily

Resolving ambiguity: How the brain uses context in decision-making and learning

Life can be tricky. We have so many decisions to make. It's a good thing we have an orbitofrontal cortex and hippocampus to help us. These areas of the brain work together to help us sort through ...
Hosted on MSN

Context, not compute, will define the next generation of intelligence

For years, AI progress has been measured by scale: larger models, bigger datasets, longer context windows. Each new breakthrough promises that if we simply feed systems more data, we’ll get sharper ...
VentureBeat

The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context ...