Скачать или смотреть The GenAI Divide: Why 95% of Enterprise AI Projects Fail (MIT NANDA 2025 Report)

Discover the shocking truth behind enterprise AI adoption in the "State of AI in Business 2025" report by MIT NANDA. Despite billions invested, 95% of organizations are getting zero return on their GenAI initiatives, stuck on the "wrong side of the GenAI Divide". This video breaks down:
• The GenAI Divide Explained: Understand why high adoption of tools like ChatGPT and Copilot hasn't translated into P&L transformation, and why custom enterprise solutions consistently fail to reach production.
• Why Pilots Stall: Learn about the core barrier to scaling AI – the "learning gap". Most GenAI systems fail because they don't retain feedback, adapt to context, or integrate with existing workflows.
• The "Shadow AI Economy": Uncover how employees are already successfully using personal AI tools for work, often delivering better ROI than formal enterprise initiatives.
• Misplaced Investment: See how budgets favor visible, top-line functions (like sales & marketing) over high-ROI back-office automation in operations and finance, perpetuating the divide.
• Crossing the Divide: Explore how the successful 5% of organizations are achieving millions in value by:
◦ Buying, Not Building: External partnerships are twice as likely to succeed as internal builds.
◦ Empowering Front Lines: Decentralizing authority and sourcing AI initiatives from "prosumer" managers leads to faster adoption.
◦ Demanding Learning-Capable Systems: Prioritizing Agentic AI that learns, remembers, and adapts to specific workflows over static tools.
◦ Targeting Back-Office ROI: Realizing significant savings from reduced BPO spending and external agency use.
• The Agentic Web & Future of AI: Understand the emerging infrastructure (NANDA, MCP, A2A) that enables autonomous, interconnected AI systems, and why the window for crossing the GenAI Divide is rapidly narrowing.
Based on multi-method research from Project NANDA, including interviews with 52 organizations, surveys from 153 senior leaders, and analysis of 300+ AI initiatives.
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