Jun
10
4:00pm
IBM Power Rankings for the Overwatch League: Bringing Order to Statistical Chaos
By IBM Developer
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.
🎓 What will you learn?
In this workshop developers will learn:
- 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
👩💻 Who should attend?
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.
✏️ Pre-requisites
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/
🎙 Speakers
- 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/
hosted by
IBM Developer
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