More than 80% of corporate AI projects never make it out of the pilot phase or fail to deliver measurable value once deployed, according to RAND research. This failure rate is two times higher than ...

An AI-assisted diagnosis of skin diseases is not yet reliable for all population groups. A DFKI project could provide a ...

Companies struggle with AI implementation at scale when projects lack clear business objectives and contextual data ...

VentureBeat research finds 72% of enterprises are running multiple "primary" AI platforms with no clear owner — creating ...

The City University of New York (CUNY) system is expanding its use of artificial intelligence in everyday teaching and student support, backed by a $3 million investment in campus-led projects. The ...

A recently published open-source project that claims to revolutionize AI memory architectures has a highly unexpected – and ...

There's growing concern that AI is a bubble about to burst. Smart digital leaders take a tactical approach to use cases. They get executive buy-in by focusing on strategic priorities. With MIT ...

Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren’t seeing the results they were hoping for. According to ...

After sixteen years building integration infrastructure for contact centers, I've watched enterprises make the same expensive mistake: They buy sophisticated AI, deploy it with fanfare, then watch it ...

The Internal Revenue Service's efforts to leverage artificial intelligence are running into obstacles thanks to the severe cuts in staffing and funding at the agency, according to a new report.

A new report from the Government Accountability Office warned that the weather agency “has not developed a long-term plan for the AI translation project because of current uncertainty on how the ...