Скачать или смотреть Business Readiness for AI — Why Most AI Initiatives Fail (Part 2)

Most AI initiatives don’t fail because of bad models or weak technology.
They fail because the business isn’t ready.

In Part 2, we shift the focus from data and platforms to the business conditions required for AI to deliver value.

This episode explores:
• Why technically “successful” AI projects still fail
• The absence of business ownership in AI programmes
• Misaligned incentives and unclear accountability
• Why AI outputs often go unused

If your organisation has invested heavily in AI but struggles to see real impact, this episode explains why.

▶ Watch Part 3 next:
Decision Readiness — The Missing Layer in Enterprise AI
   • Decision Readiness — The Missing Layer in ...  

▶ Full playlist:
   • AI Readiness for the Enterprise | DataMindAI  
🔬 Hands-on GitHub Repository
Run the exact examples shown in this video (Databricks + VS Code):

👉 https://github.com/AhmedMahmoud2/data...

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This video is part of the “AI Readiness for the Enterprise” series by DataMindAI.