Watson ingests and analyzes millions of news stories, opinion pieces by fantasy experts and reports on player injuries. A machine learning engine pulls dozens of models from cloud object storage (running in Dallas and Washington, D.C., to ensure continuous availability). Player Insights are built on containerized apps using Red Hat OpenShift running on the IBM Cloud. “Because we’re incorporating insight from media experts, it presents a more comprehensive analysis of a player’s potential on any given week,” says Aaron Baughman, Distinguished Engineer, and Master Inventor with IBM Consulting. It lets a fantasy owner visualize the risk-and-reward scenarios, see trends over time and field a more competitive team. Using deep neural networks and advanced natural language processing, Player Insights with Watson combines the analyses of both structured and unstructured data to help fantasy managers compare players, estimate the potential upside and downside of starting a particular player and even assess the impact of an injury. Together, they created two unique features that are now integrated into the ESPN fantasy football app: Player Insights with Watson and Trade Analyzer with Watson. To help, ESPN partnered with IBM Consulting using the IBM Garage methodology to better understand the kinds of data-driven insights fantasy players want. “To meet that bar, we have to continuously improve the game and find ways to enhance the experience with new innovations.” “We want ESPN to be the destination for all fans playing Fantasy Football, whether it’s their first time or they’ve been managing a league for 20 years,” says Chris Jason, Executive Director, Product Management at ESPN. To keep its experience fresh and competitive, ESPN needs to introduce new features and enhancements that drive customer satisfaction and new membership. And for ESPN, fantasy football is a critical driver of digital engagement. AI-powered insights that enhance the fantasy football experienceįantasy sports is more than fun and games. And today, using the natural language processing of Watson Discovery, ESPN serves up billions of AI-powered insights to the 11 million people who play fantasy football on the ESPN Fantasy app. To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football. But for decades, this treasure trove of expertise went largely untapped by fantasy footballers, who could only consume a tiny fraction of this highly valuable content. And for the past six years, ESPN has worked closely with IBM to help tell the other half.Įvery football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. Every week during football season, an estimated 60 million Americans pore over player statistics, point projections, and trade proposals, looking for that elusive insight that will guide their roster decisions and lead them to victory.īut numbers only tell half the story. If you play fantasy football, you are no stranger to the concept of data-driven decision making.
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