Mstyslav Chernov
Academy Award Winner, Best Documentary (2024) | BAFTA Winner | Pulitzer Prize Winner | Director, 20 Days in Mariupol & 2000 Meters to Andriivka | 2x Sundance | AP
AI Expert & Strategist | Former VP, Amazon Web Services | Google Executive | Former U.S. Under Secretary of Commerce | Founder & CEO, Obsidian Strategies
Few leaders understand both the promise and complexity of artificial intelligence like Michelle K. Lee. As former Vice President of Amazon Web Services' Machine Learning Solutions Lab, she advised Fortune 500 companies on implementing AI at scale. A Google executive during its formative years and former Under Secretary of Commerce, she brings rare expertise spanning technology, policy, and business. As founder of Obsidian Strategies, she translates AI's transformative potential into actionable strategy for leaders navigating an AI-centric world.
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Keynote speaker Michelle K. Lee is a leading authority on artificial intelligence strategy whose career spans the highest levels of technology, government, and business. As former Vice President of Amazon Web Services’ Machine Learning Solutions Lab, she led global teams advising Fortune 500 companies on implementing AI and machine learning solutions that deliver measurable business impact. Before Amazon, she served as a senior executive at Google during its formative years and as Under Secretary of Commerce and Director of the U.S. Patent and Trademark Office under presidential appointment—where she led over 10,000 employees to implement an agency-wide AI strategy that improved patent quality, speed, and consistency.
AI speaker Michelle K. Lee is best known for translating the technical complexity of artificial intelligence into strategic frameworks that executives can operationalize. As founder and CEO of Obsidian Strategies, she advises Fortune 500 companies on identifying and executing their highest-ROI AI opportunities across industries. Her approach balances the transformative potential of AI with the regulatory, ethical, and operational risks that accompany deployment at scale—a perspective informed by her dual experience as both a technologist and policymaker.
Trained at the MIT Artificial Intelligence Laboratory as a computer scientist, Michelle has worked at the MIT AI Lab and Hewlett-Packard Research Laboratories. She has testified before Congress approximately ten times on AI policy and intellectual property, and her expertise has been featured in The Wall Street Journal, Bloomberg, NPR, and MIT Sloan Management Review. She is a member of the MIT Corporation, serves on multiple corporate boards, and is a frequent speaker at major forums including the World Knowledge Forum, South by Southwest, Fortune’s Most Powerful Women Conference, CES, and the National Association of Corporate Directors.
Michelle’s career trajectory reflects her commitment to bridging advanced research with real-world application. At Amazon, she was the founding business executive lead for AWS’s responsible AI efforts, working with clients across industries to implement AI and generative AI while managing policy, regulatory, and ethical considerations. At Google, she contributed to the company’s growth during its most critical expansion phase. As head of the 200-year-old U.S. Patent and Trademark Office, she modernized one of the world’s largest intellectual property agencies through data analytics and AI implementation.
As an AI speaker, Michelle K. Lee delivers keynotes that cut through hype to provide actionable guidance on AI adoption, digital transformation, responsible AI governance, and competitive strategy. Her presentations draw on firsthand experience advising Amazon Web Services clients, leading federal agencies, and building technology companies in Silicon Valley. Audiences leave with concrete frameworks to implement AI strategies, navigate regulatory complexity, and balance innovation with risk management in an AI-centric world.
Artificial intelligence is reshaping every industry, yet many organizations struggle to move from experimentation to execution. In this essential keynote, Michelle K. Lee cuts through the hype to provide executives with a practical roadmap for AI implementation grounded in real-world experience. Drawing on her tenure as Vice President of Amazon Web Services' Machine Learning Solutions Lab—where she advised Fortune 500 clients across industries—Michelle shares the seven critical lessons that separate successful AI adoption from costly failures. She demonstrates how organizations can leverage AI to increase operational efficiency, enhance customer experience, and generate new revenue streams, using concrete examples from her work with Amazon's largest clients and her time at Google. Michelle addresses common implementation challenges including data readiness, talent gaps, integration complexity, and ROI measurement. Audiences leave with actionable frameworks to assess their AI maturity, prioritize opportunities, and build organizational capabilities that turn AI investments into competitive advantage.
Generative AI is transforming how organizations analyze data, create content, predict outcomes, and engage customers—but deployment at scale introduces significant challenges around accuracy, bias, intellectual property, regulation, and trust. In this thought-provoking keynote, Michelle K. Lee provides executives with the framework to balance AI's transformative potential against its operational and reputational risks. Drawing on her unique multi-disciplinary experience as an MIT-trained AI researcher, Amazon and Google executive, former Under Secretary of Commerce, and founder of Obsidian Strategies, Michelle shares powerful examples of generative AI applications delivering measurable business impact alongside cautionary cases where organizations failed to manage associated risks. She addresses how to evaluate AI use cases through a lens of responsible deployment, navigate evolving regulatory frameworks, and build governance structures that enable innovation while protecting against legal, ethical, and technical failures. This keynote equips leaders to make informed decisions about where to lean into AI, where to proceed with caution, and how to build reliable, trustworthy AI systems that create sustainable value.
Digital transformation is no longer optional—but successful transformation requires more than adopting new technologies. It demands organizational alignment, cultural change, and strategic clarity about where technology creates value. In this keynote, Michelle K. Lee shares insights from leading AI implementation at the U.S. Patent and Trademark Office, advising Fortune 500 companies at Amazon Web Services, and building technology capabilities at Google. She reveals how leaders can drive transformation at scale, overcome resistance to change, and build the data infrastructure, talent, and governance frameworks necessary for sustainable innovation. Michelle addresses the leadership challenges inherent in digital transformation: aligning executive teams around strategy, building technical fluency in non-technical leaders, managing legacy systems, and ensuring that transformation efforts deliver measurable business outcomes. Audiences leave with practical tools to assess transformation readiness, prioritize investments, and lead organizations through the complexity of technology-driven change.
As artificial intelligence becomes central to corporate strategy, boards face growing responsibility to provide informed oversight of AI investments, risks, and governance. In this essential session for corporate directors and senior executives, Michelle K. Lee provides a framework for board-level AI governance grounded in her experience serving on multiple corporate boards, advising Fortune 500 companies, and leading federal agencies. She addresses the key questions boards must ask: How do we evaluate AI strategy and ROI? What are the legal, ethical, and reputational risks? How do we ensure responsible AI deployment? What governance structures are necessary? Michelle translates technical complexity into strategic clarity, enabling directors to fulfill their fiduciary duties in an AI-driven economy. She shares best practices for board composition, oversight mechanisms, and risk management frameworks that balance innovation with accountability. This keynote is ideal for corporate boards, audit and risk committees, and executive leadership teams seeking to strengthen AI governance and oversight capabilities.
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