Remove us soccer
article thumbnail

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

AWS Machine Learning Blog

There’s a kind of magic that surrounds a soccer shot so powerful, it leaves spectators, players, and even commentators in a momentary state of awe. Although high shooting speed excites soccer fans, it has not been measured regularly in the Bundesliga until now. What exactly captures our imagination with such intensity?

AWS 93
article thumbnail

How IBM sports and entertainment partnerships transform an industry—and win an Emmy

IBM Journey to AI blog

These include the Masters , the GRAMMYs , US Open Tennis , Wimbledon and ESPN. The computer vision and sound technology that we developed for golf could be applied to tennis and soccer broadcasts.” Our systems let us incorporate that report with structured data to make better predictions.” ” says Baughman.

ML 77
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Beyond the Data: Jeronimo Acosta, LATAM Director of Branding & Partnerships

phData

Tell us your name, where you’re from, and a little about you. I’m thrilled that the LATAM team and some US colleagues will be coming to Uruguay in March to get to know each other and officially kick off our regional office. With that, let’s get to learn more about Jeronimo, his role, and his hobbies! What do you do for fun?

52
article thumbnail

Data Analytics Technology is Positively Disrupting the World of Sports

Smart Data Collective

For example, fantasy football can account for at least 25 million participants that are active and mostly reside in the US. For instance, the movie Moneyball portrays a coach who uses data to find undervalued players who are quite talented. This practice is commonplace in sports like basketball cricket, soccer, and football.

Analytics 106
article thumbnail

5 Use Cases for Machine Learning in Sports Betting

DataSeries

In some models, this can be a quantitative analysis of historical performance by an athlete or a team, such as average possession and pass rates in soccer or the history two players have in matchups in games like tennis. Such machine learning models are multivariate, meaning they factor in many variables when making predictions.

article thumbnail

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning Blog

Purina US, a subsidiary of Nestle, has a long history of enabling people to more easily adopt pets through Petfinder , a digital marketplace of over 11,000 animal shelters and rescue groups across the US, Canada, and Mexico. Outside of work, he loves spending time with his family, hiking, and playing soccer.

AWS 98
article thumbnail

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning Blog

Ray enjoys playing soccer and spending quality time with family. With an M.Sc. in Electrical Engineering and Computer Science, he leads enterprises to build secure, scalable AI/ML and big data solutions to optimize their cloud adoption. His passions include computer vision, NLP, generative AI, and MLOps. from the Univ. of Texas and his M.Sc.

AWS 127