Why AI Projects Fail (It's Not the AI) скачать в хорошем качестве

Why AI Projects Fail (It's Not the AI)

Why your AI implementation fails at the design phase (and how to fix it) Discovery is easy. Strategy is straightforward. But the design phase? That's where 80% of AI projects fall apart. In this video, I'm breaking down the AI Innovation Sprint—the exact framework experts use to go from "should we do this?" to production-ready systems. You'll learn: Why integration complexity is 5X harder than the AI itself The 4-dimension risk assessment framework (technical, operational, compliance, reputational) How to map the REAL process (not the documented fantasy) The 6 technical barriers that break implementations Build vs Buy decision framework (hint: custom is usually overkill) Case Study: See how a healthcare admin company (Medicore) evaluated patient intake automation vs appointment scheduling—same value, completely different risk profiles. Timestamps: 0:00 - Why design kills AI projects 1:23 - The AI Innovation Sprint explained 2:45 - 4-dimension risk assessment framework 5:12 - Real process vs documented process 8:34 - The 6 technical barriers 12:18 - Build vs Buy framework 15:42 - Key takeaways This isn't theory. This is the methodology that separates failed pilots from production systems. About this channel: Practical AI implementation strategies for mid-market organisations. No hype, just frameworks that work. #AIImplementation #BusinessAutomation #AIStrategy #DigitalTransformation #ProcessAutomation