Allata news and milestones

Most enterprise AI governance programs fail before they reach production. The technology is rarely the problem. The oversight architecture was never built to handle more than a h…

By David Romeo, Sr. Vice President, Innovation Most enterprises don't fail at AI because the models are bad. They fail because nobody owns the models once they're running. Knowin…

Production AI models degrade silently. No error message fires. No deployment fails. No vendor alert arrives. The model gets progressively worse at the job you built it to do. Mos…

The sales pitch is consistent: consolidate on our platform, and we handle the hard parts. What the pitch omits is that vendor lock-in AI platforms don't distribute your deploymen…

Most enterprise data architecture failures share one root cause: organizations sequence the work backward. They bolt AI onto infrastructure never designed to support it. Then the…

Most enterprise AI pilots produce a working demo within 90 days. Fewer than 15% reach production at scale. McKinsey's 2024 State of AI report identifies this gap as the defining…

Most enterprise AI programs stall before they scale. The technology rarely fails. The organization wasn't ready for it. At Allata, we've run AI readiness assessments across healt…

Most enterprise AI roadmaps fail before they touch production. Not because the technology is wrong - because the sequence is. Teams pilot a model in week three. They hit a govern…

Most platform evaluations fail before the first vendor demo. Teams compare pricing tiers and connector counts. Then they spend 18 months discovering the platform can't support th…

Choosing the best workflow automation platform for enterprise isn't a tool problem. It's a system problem with five moving parts: model quality, data architecture, governance con…

In a significant step toward transforming workplace culture and employee well-being, CareFlash today announced the results of its partnership with global AI and technology consul…