Wednesday 17 February 2021
12:00
Jacomo Corbo, in conversation with Helen Mayhew
Why Sport Still Leads the AI Revolution
Artificial Intelligence (AI) has found a natural home in the world of sport, where marginal gains can often make the difference between one team’s triumph and another’s defeat. In this session, Jacomo Corbo, QuantumBlack’s Co-Founder and Chief Scientist, will explore how AI is changing sport and why sport is still leading the AI tech revolution. From developing an autopilot that outperforms Olympic sailors for the America’s Cup to building a real-time race strategy engine in Formula E, Jacomo will share lessons learned from building complex AI-enabled capabilities and the cultural shifts required to successfully embed AI into fast-moving, performance-driven organisations, whether in the world of sport or beyond.
Jacomo is a Co-Founder and the Chief Scientist of QuantumBlack as well as a Partner at McKinsey & Company. He helps major organisations adopt artificial intelligence at scale to radically improve their performance, and is responsible for architecting and overseeing many of QuantumBlack’s most complex transformation programs.
Jacomo also leads QuantumBlack’s R&D efforts in QB/Labs, with a specific focus on the use of powerful tools and assets to simplify and accelerate the work of developing and deploying machine learning solutions.
Prior to founding QuantumBlack, Jacomo was the Chief Race Strategist for the Renault F1 Team and has led research funded by the National Science Foundation and the National Research Council of Canada, as well as several large engineering organizations. He holds a PhD in Computer Science and Masters in Applied Statistics from Harvard University, a BEng in Electrical Engineering from McGill University, and carried out postdoctoral work at the Wharton School at the University of Pennsylvania.
Jacomo is a Co-Founder and the Chief Scientist of QuantumBlack as well as a Partner at McKinsey & Company. He helps major organisations adopt artificial intelligence at scale to radically improve their performance, and is responsible for architecting and overseeing many of QuantumBlack’s most complex transformation programs.
Jacomo also leads QuantumBlack’s R&D efforts in QB/Labs, with a specific focus on the use of powerful tools and assets to simplify and accelerate the work of developing and deploying machine learning solutions.
Prior to founding QuantumBlack, Jacomo was the Chief Race Strategist for the Renault F1 Team and has led research funded by the National Science Foundation and the National Research Council of Canada, as well as several large engineering organizations. He holds a PhD in Computer Science and Masters in Applied Statistics from Harvard University, a BEng in Electrical Engineering from McGill University, and carried out postdoctoral work at the Wharton School at the University of Pennsylvania.
