Enterprise AI programs rarely fail because of bad ideas. More often, they get stuck in ungoverned pilot mode and never reach production. At a recent VentureBeat event, technology leaders from MassMutual and Mass General Brigham explained how they avoided that trap — and what the results look like when discipline replaces sprawl.At MassMutual, the results are concrete: 30% developer productivity gains, IT help desk resolution times reduced from 11 minutes to one, and customer service calls cut from 15 minutes to just one or two.“We're always starting with why do we care about this problem?” Sears Merritt, MassMutual’s head of enterprise technology and experience, said at the event. “If we solve the problem, how are we gonna know we solved it? And, how much value is associated [...]
Enterprise AI teams face a dilemma: The best models today might not be the best models a year from now. MassMutual's answer is to stop making long-term bets — and build infrastructure that can [...]
Decision makers at 72% of organizations claim to have two or more AI platforms that they identify as their "primary" layer, according to a survey of 40 enterprise companies conducted by Vent [...]
In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]
Resolve AI, the production-operations startup backed by Greylock and Lightspeed Venture Partners, today announced a sweeping expansion of its platform that introduces always-on background agents, a re [...]
Every enterprise running AI coding agents has just lost a layer of defense. On March 31, Anthropic accidentally shipped a 59.8 MB source map file inside version 2.1.88 of its @anthropic-ai/claude-code [...]