AI Readiness From Vision to Verification
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AI Readiness From Vision to Verification
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What does it take to become truly AI-ready?
In this episode, I am joined by Ritu Chakrawarty. Ritu leads GenAI/AI Solutions Strategy at AbbVie
linkedin.com/in/ritu-chakrawarty
rituchakrawarty.github.io
We break down an AI readiness framework that helps organizations move from vision to real value. We explore the essentials of data readiness, AI governance, and the AI verification practices needed to keep models safe, reliable, and trusted.
If you're leading AI strategy in healthcare, this episode offers a practical roadmap for scaling AI, reducing risk, and modernizing data foundations. We discuss how health systems can improve AI adoption, strengthen machine learning governance, and build a culture that supports responsible and measurable transformation.
Topics Covered:
AI readiness and maturity
Data strategy for AI adoption
Responsible AI and governance
Scaling AI in healthcare
AI risk management and model monitoring
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