Enterprise AI is entering a new phase — one where the central question is no longer what can be built, but how to make the most of our AI investment.At VentureBeat’s latest AI Impact Tour session, Brian Gracely, director of portfolio strategy at Red Hat, described the operational reality inside large organizations: AI sprawl, rising inference costs, and limited visibility into what those investments are actually returning.It’s the “Day 2” moment — when pilots give way to production, and cost, governance, and sustainability become harder than building the system in the first place."We've seen customers who say, 'I have 50,000 licenses of Copilot. I don't really know what people are getting out of that. But I do know that I'm paying for the most expensive [...]
High-resolution audio on the go isn’t very convenient. It typically involves wired headphones and a DAC (digital-to-analog converter) of some kind, plus your phone or another device to access files [...]
Presented by CelonisAI adoption is accelerating, but results often lag expectations. And enterprise leaders are under pressure to prove measurable ROI from the AI solutions — especially as the use o [...]
Slack today announced more than 30 new capabilities for Slackbot, its AI-powered personal agent, in what amounts to the most sweeping overhaul of the workplace messaging platform since Salesforce acqu [...]
One malicious prompt gets blocked, while ten prompts get through. That gap defines the difference between passing benchmarks and withstanding real-world attacks — and it's a gap most enterprise [...]