by Aaron K. Baughman | Updated February 6, 2019 - Published September 26, 2018
When it comes to scale and precision, artificial intelligence (AI) with ESPN Fantasy Football provides accurate predictions to millions of users around the world. The raw volume of traffic that is many millions of users per day and hundreds of millions of resource retrievals through the IBM Cloud requires a web acceleration tier within the overall system architecture. The ESPN Fantasy Football with Watson system has been a significant undertaking with many components. This article is the first in an eight-part series that takes you behind each component to show you how we used Watson to build a world-class AI solution.
Learn about each component in the ESPN Fantasy Football with Watson system and how we used Watson to build a…
IBM Watson AI has your back when you cannot sleep at night thinking about your ESPN Fantasy Football lineup selections.
ESPN and IBM have teamed up to bring a new level of insight to fantasy football team owners: Watson AI.…
The scientific process of training and evaluating the machine learning pipeline creates highly accurate predictions to help you win.
The extended reach of ESPN Fantasy Football with Watson can help you sift through evidential insights from any corner of…
Learn how Watson is able to provide AI insights from a diversity of data sources. Instead of reading, watching, and…
Visual evidential foundations create comprehensive opinion pieces for you to select your roster spots.
Get depth and insights from unstructured data complimented by ESPN's traditional player statistics and analysis.
Get the Code »
Intro to Machine Learning for the Developer
June 15, 2019
Back to top