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Scaling enterprise AI: lessons in governance and operating models from IBM
['Eira May']
Stack Overflow Blog
Successful implementation and scaling of enterprise AI projects is fundamentally a people and operating model challenge, not just a technology problem.
Managing AI deployment for 280,000 employees at a company where AI is core to the business strategy has taught him that enterprise AI isn't primarily a technology problem.
Integrating governance into the tech stackMost enterprises treat AI governance as a control mechanism, not an enablement framework.
The procurement expert who understands the workflow learns prompt engineering and starts building directly on the enterprise AI platform.
Building a ‘hyper-opinionated’ enterprise AI platformEnabling this new way of working requires what Lyteson calls a "hyper-opinionated" enterprise AI platform: a curated infrastructure that connects AI capabilities with enterprise data, security, and systems in a standardized way.