My guest today is Milind Sawant, a leader in product innovation with 30 years of global R&D experience. At Siemens Healthineers, he founded the Center of Excellence for AI and Machine Learning, growing it to more than 200 cross-functional team members and achieving significant business impact. Milind shares a structured approach to AI deployment, covering common pitfalls, a problem-first adoption framework, and strategies for balancing speed and accuracy. We also discuss the evolving role of subject matter experts, overcoming resistance to change, and the future role of AI in healthcare. His insights are practical, experience-driven, and invaluable for anyone looking to adopt AI in their business. So, please enjoy my conversation with Milind Sawant.
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Show Notes:
[00:01:00] Introduction
[00:01:32] Building an AI Center of Excellence: Breaking Silos and Driving Innovation
[00:04:14] Avoiding Common Pitfalls in AI Deployment
[00:06:05] Leveraging Subject Matter Experts for AI Success
[00:08:11] Data Quality vs. Quantity: The Make-or-Break Factor for AI
[00:10:28] Starting Small: The Key to AI Adoption Within an Organization
[00:13:04] Speed vs. Accuracy: Finding the Right Balance in AI Implementation
[00:14:20] Overcoming Internal Resistance to AI Adoption
[00:16:27] Future-Proofing Your Career in an AI-Driven World
[00:19:02] Making AI Accessible: Tools and Training for Mid-Career Professionals
[00:24:15] AI Performance Standards: Why the Bar is Higher for Automation
[00:28:01] Incremental Improvements vs. Big Leaps: How AI Gains Traction
[00:29:58] How AI is Transforming Business and Patient Care
[00:34:29] Regulating AI: Striking the Right Balance Between Innovation and Safety
[00:36:04] How Business Leaders Can Effectively Deploy AI
[00:38:07] Final Thoughts: AI is Easier to Learn Than You Think

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Twitter: @sdchappell | @notathreatai
LinkedIn: Sam Chappell | Not a Threat