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Automated Machine Learning: A Game-Changer for Sports

There is an incredible wealth of available data in sports, but capturing and making use of that data in a way that will lead to better outcomes for the team remains a major problem. Factor in long data science time horizons that make it difficult to implement predictive solutions in the space of a season and prohibitive provisioning costs for data science teams, and it’s easy to see why many sports organizations find traditional data science methods to be out of their league.

Enter DataRobot’s automated machine learning platform. This overview will detail exactly how sports organizations are already using this technology to make better decisions, including specific use cases and the challenges most sports organizations face when implementing machine learning initiatives.

This overview will cover:

  • Specific use cases and tangible benefits of predictive analytics
  • The unique challenges of implementing machine learning in sports
  • Why automation is the solution
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

VP of Data Strategy, Business Intelligence, & Analytics, FordDirect

The generative AI space is changing so fast but the flexibility, speed, and interoperability of DataRobot is helping us stay on the cutting edge. And, DataRobot’s team of GenAI experts have been true partners on our journey, helping us navigate the real concerns to apply generative AI in meaningful and safe ways.
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI, BSI

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