Mahendra Bairagi

Data-driven segmentation (DDS) is a solution that allows clubs, leagues, and broadcasters to merge data streams with broadcast footage and produce high-quality clips with graphical elements to highlight exceptional player behavior. In this session, learn how with the DDS solution, the Bundesliga is able to define stories, such as Unlikely Goals, that are automatically clipped, rendered, and...

In this session, learn about the Digital Athlete program, a collaboration between the NFL and AWS, and how it has improved player safety by studying helmet impacts and lower extremity injuries, allowing the league, teams, and coaches to be more informed about a player’s health. Discover how the program can automatically identify game events with a forcible helmet impact and track these impacts...

The sports industry is data rich, and making sense of that data is the first step in making it an advantage on and off the field. In this chalk talk, learn how the Bundesliga, the German football league, uses 3.6 million data points per match to empower fans, broadcasters, and commentators with advanced stats to tell new stories.

Come discuss how machine learning can enhance your video files and generate searchable metadata in this chalk talk. The Media Analysis Solution on AWS uses Amazon Rekognition for facial recognition, Amazon Transcribe to create transcripts, Amazon Comprehend to run sentiment analysis on the transcripts, and Amazon Translate to make content available in multiple languages.

Training and deploying autonomous vehicle algorithms relies heavily on machine learning. In this hands-on session, we show you how to use AWS ML stack and tools such as Amazon SageMaker to quickly build, train, and deploy machine learning models for autonomous driving.

Video-based tools have enabled advancements in computer vision, such as in-vehicle use cases for AI. However, it is not always possible to send this data to the cloud to be processed.