Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Looking ahead to 2026, Raythink expects even richer AI applications to emerge across the security industry. The company will continue to expand scenario-driven deployments, enhance AI precision, and ...

Researchers have developed the world's first real-world head-to-head testing platform to determine whether commercial ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) developed its reputation for efficiency and predictability ...

The future: AI-assisted, context-rich, human-governed banking ...

Several years ago, teams of scholars published groundbreaking research that pointed to racial biases in algorithms that helped direct patient care at major health systems in the U.S. Those algorithms, ...

Many companies are searching for tools to help them hire diverse, productive workforces. Even if diversity is not the main hiring goal, they may want to ensure they’re not overlooking talented ...