The Overwatch League is fast-paced, dynamic, and generates a huge volume and variety of performance data. The league faced the complex challenge of analyzing nearly 2 million data points per match to objectively evaluate player performance.

In this session, you’ll meet the IBM developers who worked with the Overwatch League team to bring order to statistical chaos by building an accurate AI algorithm with Watson technology to objectively rank teams and players across the e-sports league.

How a 6-person team of data scientists, software engineers and designers worked together for three months to create a breakthrough solution for the Overwatch League

How the team got up and running quickly with IBM Watson Studio, IBM CloudPak for Data, and AutoAI, within RedHat Openshift containers

How to leverage machine learning to analyze millions of data points seamlessly

Developers and those interested in AI, machine learning, DevOps, large-scale cloud computing, and application deployment, and fans of the Overwatch League with an interest in technology.

Please do the following before the workshop:

Sign up for a free IBM Cloud account at https://ibm.co/3i0n55b

Take a look at the solutions at https://www.ibm.com/sports/overwatchleague/

Aaron K. Baughman, Distinguished Engineer and Master Inventor, IBM Developer Advocate, https://www.linkedin.com/in/aaronbaughman/

Corey Shelton, Managing Consultant, IBM iX
https://www.linkedin.com/in/sheltoncorey/

Stephane Rodet, Lead UX Engineer and AI Designer
https://www.linkedin.com/in/stephane-rodet-98736829/

Cornelius Wiehl, Big Data Software Engineer
https://www.linkedin.com/in/cornelius-wiehl-2012931aa/

Tobias Fränzel, Software Engineer, Artificial Intelligence https://www.linkedin.com/in/tobias-fr%C3%A4nzel-35509020b/

IBM Power Rankings for the Overwatch League: Bringing Order to Statistical Chaos