AI in cybersecurity is essential to keep pace with bad actors and plug skills gap. Experts who could manage antivirus firewalls sufficed.

Why AI Governance needs a new take? This recent interesting article pointed out that the chat interface is becoming obsolete ...

Before a child goes into an operating room, a large screen displays a risk score. This score predicts potential complications ...

History is rife with examples of the Jevons paradox at work. Increased fuel efficiency in automobiles lowered the cost of ...

To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...

You use Google’s AI Mode to search for suggestions, which quickly spits out a detailed answer listing companies to explore, ...

Some insurers use high-risk AI models to decide whether to offer you coverage and to help determine your premium. Until now, ...

Kevin Sofen tells why data quality, surveillance and governance are critical for ensuring that adoption is done correctly.

As automation grows, artificial intelligence skills like programming, data analysis, and NLP continue to be in high demand ...

There are plenty of programs based on algorithms that can appear like AI, but in reality, have nothing to do with it.

AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.