There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

The artificial intelligence model release represented advancement toward autonomous engineering capabilities within AI systems.

He is talking about security and privacy. But he might just as easily be describing the quiet conviction — held now by a ...

The most Secret Aircraft of World War 2 ...

A top professional organization for teachers has inked a three-year deal with Google to offer AI training to “all six million K-12 teachers and higher education faculty” in the U.S., an audacious ...

News from the week beginning 16th Feb included news from @CybageSoftware, @Deel, @Epicor, @FourKites, @Ultimo, @Planful, ...

By Yangchula Bhutia Georgios Bouloukakis, University of Patras; Institut Mines-Télécom (IMT) “Edge computing”, which was ...

Stop "data ping-pong" and unify silos for continuous, real-time intelligence with a new way to design and operate data infrastructure.

It feels like only yesterday that ChatGPT took the world by storm. Its ability to reason and give human-like responses made everyone believe that artificial intelligence is set to revolutionize our ...

Commonwealth Bank’s SAP-based core modernisation last year has unlocked about 90 percent of all its customer, account and ...

An ET analysis of more than 100 live streams across YouTube, Instagram and seven video chat applications over the past four weeks found a consistent pattern: creators typically begin with general ...