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 ...

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, ...

Artificial intelligence (AI) continues to reshape how we live everyday life, influencing how we communicate, work, and even make routine ...

When Devin Singh was a paediatric resident, he attended to a young child who had gone into cardiac arrest in the emergency department after a prolonged wait to see a doctor. “I remember doing CPR on ...

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 ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

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 ...

Across industries, HR leaders are facing a new reality: Machines are not just supporting HR—they are now shaping it. Generative AI is writing job descriptions, scanning resumes, curating training ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...