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Tech in sports: How analytics has changed the pros

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Manage episode 422182899 series 3460131
Inhalt bereitgestellt von IMD. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von IMD oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

There's no doubt that statistics and data play an important role in professional sports. Whether in soccer, cricket, or American football, superfans have always been interested in goals scored, passes caught, or wickets taken.
But the point at which the value of that data became apparent was the advent of "Moneyball" in the early 2000s, which revolutionized Major League Baseball.

Popularized by a 2011 film starring Brad Pitt, the clever use of discreet data by Oakland A's general manager Billy Beane was a watershed moment for coaches and owners and altered the DNA of pro leagues in other sports.
Since then, however, things have moved on – so how does data inform and change sports today?
In this episode, Mike and Amit cover analytics as they kick off a three-part mini-series about tech in sports.

*********

Michael Wade is a Professor of Innovation and Strategy and Director of the IMD Global Center for Digital Business Transformation. He also holds the Cisco Chair in Digital Business Transformation. An expert in digital transformation, he has published 10 books and more than 100 case studies, as well as articles on topics such as digital business transformation, innovation, strategy, and digital leadership.
Amit Joshi is a Professor of AI, Analytics, and Marketing Strategy. He specializes in helping organizations use artificial intelligence and develop their big data, analytics, and AI capabilities. An award-winning professor and researcher, he has extensive experience in AI and analytics-driven transformations in industries such as banking, fintech, retail, automotive, telecoms, and pharma.

Find out more about IMD at imd.org

  continue reading

24 Episoden

Artwork
iconTeilen
 
Manage episode 422182899 series 3460131
Inhalt bereitgestellt von IMD. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von IMD oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

There's no doubt that statistics and data play an important role in professional sports. Whether in soccer, cricket, or American football, superfans have always been interested in goals scored, passes caught, or wickets taken.
But the point at which the value of that data became apparent was the advent of "Moneyball" in the early 2000s, which revolutionized Major League Baseball.

Popularized by a 2011 film starring Brad Pitt, the clever use of discreet data by Oakland A's general manager Billy Beane was a watershed moment for coaches and owners and altered the DNA of pro leagues in other sports.
Since then, however, things have moved on – so how does data inform and change sports today?
In this episode, Mike and Amit cover analytics as they kick off a three-part mini-series about tech in sports.

*********

Michael Wade is a Professor of Innovation and Strategy and Director of the IMD Global Center for Digital Business Transformation. He also holds the Cisco Chair in Digital Business Transformation. An expert in digital transformation, he has published 10 books and more than 100 case studies, as well as articles on topics such as digital business transformation, innovation, strategy, and digital leadership.
Amit Joshi is a Professor of AI, Analytics, and Marketing Strategy. He specializes in helping organizations use artificial intelligence and develop their big data, analytics, and AI capabilities. An award-winning professor and researcher, he has extensive experience in AI and analytics-driven transformations in industries such as banking, fintech, retail, automotive, telecoms, and pharma.

Find out more about IMD at imd.org

  continue reading

24 Episoden

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