Michelle K. Lee

About Michelle K. Lee

As the former VP of Amazon’s Machine Learning Solutions Lab, Michelle advised Amazon’s biggest clients on how to implement AI, GenAI, and machine learning into their business. Now, as founder and CEO of Obsidian Strategies (“Architects for AI-Driven Strategies”), Michelle shows business leaders how AI is being applied to increase productivity, enhance customer experiences, and drive revenue across a wide range of industries. Michelle was also an executive at Google during their formative years and she brings unique perspectives based on her time in Silicon Valley.

Michelle is a frequent speaker on AI, innovation, digital transformation, and board governance and has spoken at The World Knowledge Forum, South by Southwest, Fortune’s Most Powerful Women Conference, the Consumer Electronics Show (CES), and the National Association of Corporate Directors.

Michelle has spent her career building and advising some of our country’s most innovative AI/data-driven companies (Amazon and Google), which gives her unique perspectives on the opportunities and applications of Artificial Intelligence and machine learning.

As the CEO and Founder of Obsidian Strategies (“Architects of AI-Driven Strategies”), she helps Fortune companies identify and implement their highest return-on-investment AI opportunities. Previously, she was a senior executive at Amazon and the Vice President of the Machine Learning Solutions Lab at Amazon Web Services (AWS).

At AWS, she led a global team of business consultants and data scientists who worked with clients from a broad range of industries to spot and implement their most fruitful AI/machine learning applications. She also played a key role in addressing policy, regulatory, and ethical risks associated with AI services and applications and was the founding business executive lead for AWS’s responsible AI efforts. Through both her industry and government experiences, Michelle has a unique understanding and ability to balance the opportunities and risks in AI, an area of active interest to regulatory and legislative bodies as well as society.

Michelle is an MIT AI Lab-trained computer scientist and has worked at the MIT AI and Hewlett-Packard Research Laboratories. She has been featured in The Wall Street Journal, Bloomberg, NPR, and the MIT Sloan Management Review. For her expertise, she has testified before Congress about 10 times and received numerous awards for her leadership and professional accomplishments.

Before Amazon, Michelle served as the presidentially-appointed Under Secretary of Commerce and Director of the U.S. Patent and Trademark Office, one of the largest intellectual property offices in the world, where she brought AI and data analytics to the agency to enhance operations. As the head of the 200-year-old U.S. Patent and Trademark Office, she led over 10,000 people to implement an agency-wide AI strategy, increasing the quality, speed, and consistency at which patents were issued.

Prior to public service, she spent her entire career in Silicon Valley, including eight years as an executive at Google during its formative years.