Why Your Enterprise AI Keeps Failing  And It Has Nothing to Do With the Model

This story was originally published on HackerNoon at: https://hackernoon.com/why-your-enterprise-ai-keeps-failing-and-it-has-nothing-to-do-with-the-model. Enterprise AI failures aren’t about models. Learn how infrastructure, data pipelines, and governance determine real-world AI performance and reliability. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #enterprise-ai-failure, #milan-parikh-cytel, #ai-data-architecture, #event-driven-architecture, #ai-pipelines, #enterprise-machine-learning, #enterprise-ai, #good-company, and more. This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com. Milan Parikh argues enterprise AI fails due to infrastructure, not models. Research like FraudSentinel and TrustGraph shows pipeline integrity, data lineage, and governance define outcomes. Event-driven architecture and auditability are critical. To succeed, organizations must treat AI as a system problem—not just a modeling challenge.