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Stop burning capital on AI "science experiments" and start building for production. We break down the architectural shifts and ROI frameworks required to move beyond the hype and deliver real enterprise value. Discover the 4 critical reasons enterprise AI projects fail—from data readiness traps to missing engineering discipline—and the strategic blueprints you need to scale. YouTube Chapters 00:00 Introduction 00:39 Navigating the Trough of Disillusionment 00:55 Myth 1: Why Bigger Models Won’t Save Messy Data 02:01 Myth 2: Moving Beyond Chatbots to Agentic Workflows 03:08 Myth 3: Solving the AI ROI Gap (Cost per Task) 04:14 The 90% Failure Rate: Engineering Discipline vs. Hype 05:14 Final Verdict: Architecture Over Algorithm Enterprise AI, AI Strategy 2026, Why AI Projects Fail, AI ROI, Generative AI for Business, Agentic Workflows, LLMOps, Data Readiness, Digital Transformation, Business Automation, AI Architecture, AI Engineering, RAG vs Agentic, Measuring AI Value, Enterprise Modernization, AI Product Management, AI Technical Debt, AI Implementation Guide, Beyond Chatbots.

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