"Our innovations within the ESPN Fantasy App reflect the work we do with clients all over the world. "Players of all levels can use the IBM Trade Assistant and Player Insights tools to make more informed decisions and better compete against their friends, which creates a more engaging experience." "IBM's technologies help to make ESPN Fantasy Football more interactive for our fans and differentiated from other products," said Chris Jason, senior director, product management, Disney Media and Entertainment Distribution, Fantasy Sports. IBM developers creating these features are able to quickly build and securely deploy new solutions in any environment, due to the flexibility of the cloud. These features are built on containerized apps using Red Hat OpenShift, and run on IBM Cloud. The technologies behind both Player Insights with Watson and Trade Assistant with Watson use AI running on a hybrid cloud architecture to help improve the experience of playing fantasy football. The redeployed Player Insights with Watson builds on features launched last year that offered player comparison and share capabilities. Within Trade Assistant, which runs on IBM Cloud, ESPN is also able to address bias or unfair predictions along selected attributes, such as a player's team.įor the 2021 season, IBM is continuing Player Insights with Watson to help fantasy players better understand matchups, analyze players' boom or bust chances, and assess the impact of injuries on their rosters. With IBM Watson Studio's AutoAI capabilities and the IBM Research AI Fairness 360 toolkit, ESPN can now streamline the process of constructing and training models, while providing in-depth analysis into why certain decisions were made. Using IBM Watson Discovery 's natural language processing (NLP) capabilities, Trade Assistant is based on trustworthy AI and is able to suggest trades, as well as provide additional insights by extracting, translating and reviewing inputs on football players and teams, such as player stats and experts' sentiment from various sources, including, news articles, blogs, and podcast transcripts. The app will also offer insights into "fair trades" and the "boom percentage" pre-and post-trades, meaning Trade Assistant will show whether the players in the trade are more likely to "boom" (play better than projected) or "bust" (play worse than projected) after a proposed trade. Within the experience, Trade Assistant will now provide a Weekly Scoring Average that compares an individual's team to the rest of the teams in their league, showing pre- and post-trade values within the app. This season Trade Assistant will offer more data and analytics within the app to provide a more transparent explanation for suggested trades, so fantasy players can better understand why certain trades are recommended. These improvements are the result of IBM and ESPN working together to address user feedback and to engage new and less experienced fantasy players over the past few years. In addition, Trade Assistant will focus on "1 for 1" or "2 for 2" trades, meaning trading one player for one other player, instead of more complex trade suggestions. Now within the app, fantasy players can personalize their trade packages by identifying Players of Interest (Watch List), Players to Trade, Players NOT to Trade, and Positions to Trade.Īlso new this year, Trade Assistant can offer "No Brainer" Trade Suggestions, which include basic trade recommendations designed for newer fantasy football players who may not be aware of glaring issues with their lineups, such as missing positions or too few players on their roster. Trade Assistant with IBM Watson was initially introduced to reduce the complexities of fantasy football trades by using AI to suggest trades and to assess the fairness and value of a proposed trade. To improve the game for fantasy players of all levels and skillsets, IBM worked with ESPN to create a more customizable, transparent and understandable experience within the ESPN Fantasy App. Building on last season's successful launch of Trade Assistant with Watson, the tool now allows ESPN fantasy football players to customize trade preferences, get personalized trade recommendations and view data-driven metrics to transparently explain suggested trades. New this year, IBM is launching customizable and more simplified projections and player comparisons in the Trade Assistant with Watson tool. 2, 2021 /PRNewswire/ - Today, IBM IBM is announcing an updated, customized experience powered by IBM Watson artificial intelligence (AI) technology in the ESPN Fantasy App designed to make the game more engaging for fantasy football players.
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