Enterprise AI maturity begins when governance replaces experimentation: Dynatrace's Philippe Deblois
India, July 30 -- As enterprises move beyond AI pilots, governance, observability and security are becoming the defining characteristics of AI maturity. In conversation with Dataquest, Philippe Deblois, Global Vice President, Solutions Engineering at Dynatrace, discusses what separates successful AI deployments from failed experiments, why ROI takes time, and why AI agents should be treated like employees.
Many organisations are still experimenting with AI, but true maturity begins when AI moves into production, meaning agents are deployed in real business environments rather than remaining pilot projects.
An organisation becomes AI mature when governance, security and observability are in place, and when it has the visibility to unders...
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