Webinar on Demand: Competing in the Age of AI
AI-centric organizations compete differently. They exhibit a new kind of operating architecture, which redefines how they create, capture, share, and deliver value.
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In an AI-enabled world, where traditional operating constraints are removed, strategy becomes a whole new game. In this Harvard Business Review webinar, sponsored by DXC Technology, Harvard Business School professors Marco Iansiti and Karim R. Lakhani:
- Present a new framework for rethinking business and operating models
- Explain how "collisions" between AI-driven/digital firms and traditional/analog companies are reshaping competition, altering the economy, and forcing companies to rethink their operating models
- Discuss opportunities and risks created by digital firms
- Describe new challenges and responsibilities for leaders of both digital and traditional firms
Their discussion is packed with examples, including many from powerful and innovative AI-driven competitors. It provides an essential guide for rethinking how your firm competes and operates in the era of AI.
About the Speakers
- Professor Marco Iansiti, David Sarnoff Professor of Business Administration and Unit Head, Technology and Operations Management, Harvard Business School
- Professor Karim Lakhani, Charles E. Wilson Professor of Business Administration and Dorothy and Michael Hintze Fellow, Harvard Business School
In their new book Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning.
Iansiti and Lakhani cite research involving companies such as Amazon, Microsoft, and Airbnb that shows how AI-driven processes:
- Are vastly more scalable than traditional processes
- Allow massive scope increase
- Enable companies to straddle industry boundaries
- Create powerful opportunities for learning
- Drive ever more accurate, complex, and sophisticated predictions