Why Enterprise AI Fails without Governance
from The Data and AI Expedition Podcast
Why do 95% of enterprise generative AI initiatives yield zero return on investment, and why do 85% of AI models fail to ever reach production? It isn't because the underlying technology or math is broken. It's a failure of structural governance. In this episode, we break down why advanced enterprise AI falls apart on real-world deployment, and how unifying data and AI governance can fix it. Using a real-world case study of automating insurance First Notice of Loss (FNOL) claims, we look at how legal and regulatory frameworks, advanced mathematical models, and human oversight intersect on the front lines. Click here to view our website: https://www.modelwaresystems.com/ Or find us on LinkedIn: https://www.linkedin.com/company/modelware-systems And for more in-depth content, visit our YouTube channel: https://youtube.com/@modelwaresystems_com?si=QKCCiHmVaWruiutr Here are the sources from the 'Data & AI Government Unification' webinar series, used to help create this episode: https://www.modelwaresystems.com/blog/data-ai-governance-unification-for-data-managers/ https://www.modelwaresystems.com/blog/data-ai-governance-unification-for-data-citizens/ https://www.modelwaresystems.com/blog/data-ai-governance-unification-for-data-professionals-with-mario-cantin/ https://www.modelwaresystems.com/blog/data-ai-governance-unification-for-data-executives-with-mario-cantin/ https://www.modelwaresystems.com/blog/data-ai-governance-unification-recap-with-mario-cantin/ https://www.modelwaresystems.com/blog/data-ai-governance-unification-final-episode/
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