Putting the “why” in AI
To help foster more trust in the app’s AI-generated insights, ESPN asked IBM if it could help fantasy team owners understand why players were assigned particular grades. To do it, the team trained a generative AI model called IBM Granite to add “Contributing Factors” to each Trade Grade and Waiver Grade, explaining the logic behind the numbers.
Cracking the code
To develop the AI features in the ESPN Fantasy app, the team took advantage of a powerful AI assistant to increase the efficiency and accuracy of its code. IBM watsonx Code Assistant™ uses generative AI from a purpose-built Granite model to accelerate software development, helping developers generate code based on natural language prompts. The team used the tool to analyze and explain snippets of code, annotate code to facilitate better collaboration between developers, and auto-complete snippets of analyzed code.
The AI playbook with IBM SkillsBuild
Power up your knowledge of AI with the IBM SkillsBuild program, which offers free classes and resources for learners, educators and organizations. Explore the basics of AI, including foundational concepts about the kinds of AI used in the ESPN Fantasy app.
AI for business
The AI capabilities found in the ESPN Fantasy app are also being used to generate business outcomes for a variety of IBM clients around the world. Visit ibm.com here to learn what IBM clients and partners are saying about the potential of watsonx.
- Read more about the benefits of incorporating AI into the decision making process, for fantasy football and beyond.
