Take a deep dive into how we are applying Watson Discovery technology to the world of ESPN Fantasy Football with “Player Insights with Watson” and our new feature this year, “Trade Assistant with Watson.”

You’ll go behind the code with developers who worked on the solutions, learn how they leveraged OpenShift on the IBM Cloud to meet large scale consumer demand, and how the team addresses bias and model shift when dealing with rapidly changing real-world scenarios.

How to use Watson Discovery and Natural Language Processing to mine and analyze millions of articles, podcasts, and blogs

How to meet heavy consumer demand with large-scale cloud computing using Hybrid Cloud

How to address bias within machine learning models

Developers and those interested in DevOps, AI, Natural Language Processing, large-scale cloud computing, and application deployment.

🧰 Pre-requisites
Please do the following before the workshop:

Take a look at the solutions on ESPN’s Fantasy Football platform or at ibm.com/sports/fantasy

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

Micah Forster, Software Engineer, Full-Stack Developer, https://www.linkedin.com/in/micah-forster-0207/

ESPN Fantasy Football: Trade Assistant and Player Insights with Watson