Lindsey Wilkinson

“Cost is as big an AI risk as security,” Mary Mesaglio, distinguished VP analyst at Gartner, said during a conference keynote last week.

An AWS certification earned the top position as employers and employees seek out credentials that verify security, data and cloud skills.

Just 2% of organizations have the talent, data and technology to launch effective AI initiatives, according to an Infosys survey.

The company cited AI demand as a driver of enterprise cloud consumption, a clear trend among large vendors.

Despite the hype, the technology is often not the most cost-effective, reliable or efficient tool for enterprises to use, according to Gartner's Rita Sallam.

Enterprises allocating resources to strengthen governance will experience 35% more revenue growth than those that don't, Gartner predicts.

IT and business decision-makers indicate confidence in addressing data access, skill gaps and shadow AI challenges, according to a TeamViewer report.

Quitting an initiative two years in and restarting from scratch is never easy, but sometimes it is necessary, according to Michael Eubanks, goeasy EVP and CIO.

Excitement is falling among desk workers, who fear being perceived as incompetent or lazy for using the technology, according to a Slack survey.

As part of its OpenAI partnership, the beauty brand has more than 240 custom GPTs, including applications to analyze data and extract insights.