In this episode of AI Governance & Strategy: Navigating the Future, we examine why 88–95% of enterprise AI projects never move beyond pilot stages, and what organizations consistently get wrong when deploying artificial intelligence at scale.Drawing on research, real-world case studies like IBM Watson and Zillow, and emerging regulatory pressures such as the EU AI Act, this episode exposes the structural, human, and governance failures undermining AI adoption across industries.🔍 In this episode, you’ll learn:Why most enterprise AI projects stall or collapse after pilotsThe hidden risks of flawed training data and narrow algorithmsWhat high-profile AI failures reveal about overhype and poor governanceWhy 70% of AI success depends on human change management — not technologyHow regulations like the EU AI Act are reshaping enterprise AI prioritiesWhat it takes to align AI with real business value and workforce trustThis episode is essential viewing for executives, policymakers, compliance leaders, and technologists navigating AI deployment in regulated and high-risk environments.Produced by Neural Flow Consulting.