AI Advisor Mahesh M. Thakur: From Microsoft Wunderkind to Global AI Leader
Автор: Mahesh M. Thakur
Загружено: 2025-07-10
Просмотров: 13
Описание:
Former Microsoft AI Wunderkind Reveals the Future of AI Leadership
In this exclusive interview, Mahesh Thakur shares his incredible journey from accidentally becoming an AI pioneer at Microsoft in 2005 to becoming a global AI leader, advisor, and investor. This is the story of how one "secret recruitment" launched a career that would help shape the future of artificial intelligence.
WHAT YOU'LL LEARN:
How Mahesh was "secretly recruited" into AI at Microsoft (0:35)
The difference between corporate cultures that innovate daily vs. yearly (4:45)
Why agentic AI is the future of autonomous business operations (1:12)
The real symptoms that indicate when AI is needed in your organization (2:16)
How to lead teams through AI transformation and cultural change (1:28)
MAHESH'S IMPACT:
Former Microsoft wunderkind who built AI products at scale
Helped fuel 20% growth in $600M P&L at GoDaddy
Pioneer in generative and agentic AI technologies
Global leader, advisor, and investor guiding AI transformation
KEY INSIGHTS:
Microsoft's different business units operated like separate companies with vastly different innovation speeds
Building search engines with thousands of ML models was the foundation of modern AI
Corporate culture determines the pace of AI innovation and adoption
The future belongs to leaders who can navigate AI transformation boldly
PERFECT FOR:
Business leaders planning AI strategy
Tech professionals interested in AI careers
Anyone curious about Microsoft's AI journey
Leaders looking to transform their organizational culture
SUBSCRIBE for more exclusive interviews with AI leaders and innovators who are shaping tomorrow's technology landscape.
CONNECT WITH US:
LinkedIn: / maheshmthakur
Website: https://maheshmthakur.com/
TIMESTAMPS:
0:35 - Mahesh's background and AI leadership journey
2:16 - The "secret recruitment" story at Microsoft
3:17 - Building AI-powered search engines with ML models
4:26 - Corporate culture differences at Microsoft
5:01 - Innovation speed variations across business units
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