Another essential step in building a more AI-enabled enterprise is to determine which types of data should be prioritized.
The organizations that treat infrastructure as a supporting function may watch their AI ambitions outgrow the platforms built to support them.
Humanoid robot company Figure will spend a billion dollars to get robot training data from humans doing gig work in homes and businesses.
A substantial share of workplace AI usage is happening outside official oversight. Here’s what leaders need to know.
When they start with the business context they need, agents can spend less effort reasoning, deciding and acting.
The gap between AI development and the people governing it isn’t an accountability problem. It’s an interface problem.
Bill Gates’s new essay urges urgent global deliberation on AI, predicting a turbulent era where policy choices now will determine if it becomes an equalizer or a source of injustice.
Hospitals are grappling with rising, unpredictable AI costs, driven by “tokens”, the sub-word units processed by large language models.
AI will define future competitiveness not through adoption alone, but through how deeply and responsibly it is operationalized.
Security built in from the start becomes a foundation the rest of the system can rely on.