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Michelle K. Lee
CEO of Obsidian Strategies, Former Google Executive & Former Amazon Executive
Michelle K. Lee
CEO of Obsidian Strategies, Former Google Executive & Former Amazon Executive
Biography
Michelle Lee is an AI keynote speaker, technology and leadership expert, and the founder and CEO of Obsidian Strategies. As the former VP of Amazon’s Machine Learning Solutions Lab, Michelle advised Amazon’s biggest clients on how to implement AI 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.
Speaker Videos
Michelle Lee Keynote Unbranded
Speech Topics
7 LESSONS FOR IMPLEMENTING AI IN YOUR COMPANY
AI is one of the most transformative technologies of our generation. Computers can now create, “see,” “hear,” predict, and perform a wide variety of human tasks. Recent developments in AI (including generative AI, computer vision, machine learning, and robotics) will impact every business and aspect of our lives with both positive and negative effects. As a result, every organization needs to ask itself, what is its AI strategy? Michelle Lee has spent her career advising some of our country’s most innovative AI/data-driven companies (Amazon and Google), which gives her unique perspectives on the applications of Artificial Intelligence and machine learning. In this engaging talk, Michelle cuts through the hype and brings the high-level talk down to reality with concrete examples and recommended actions. Audiences will come away with the 7 lessons for AI implementation that can help their companies increase operational efficiencies, enhance customer experiences, and generate new revenue.
REAL IMPLICATIONS OF GENERATIVE AI
AI is transforming the way we analyze data, make predictions, generate content, and create applications. However, there are challenges to using generative AI for organizations in terms of copyright, bias, patents, and more. How can you navigate these new challenges? Michelle Lee is an AI expert who has spent her career advising the most innovative AI/data-driven companies like Amazon and Google. In this thought-provoking talk, Michelle will use her experience in technology as well as her time as Under Secretary of Commerce and Director of the U.S. Patent & Trademark Office to examine the implications of Generative AI for organizations. Audiences will come away understanding how Generative AI will impact business, economy, society, the government, and law.
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