1 option
What leaders should know about measuring AI project value / Eric Siegel.
- Format:
- Book
- Author/Creator:
- Siegel, Eric, 1968- author.
- Language:
- English
- Subjects (All):
- Artificial intelligence--Industrial applications.
- Artificial intelligence.
- Business--Data processing.
- Business.
- Machine learning.
- Physical Description:
- 1 online resource (8 pages)
- Edition:
- [First edition].
- Place of Publication:
- [Cambridge, Massachusetts] : MIT Sloan Management Review, 2024.
- Summary:
- Should you deploy that machine learning model — or will it fail? Most leaders making these decisions are focusing on the wrong metrics — which dooms many projects. In this article, adapted from the book The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, learn how and why to use business metrics rather than technical ones to evaluate how well an ML model will perform — and how much business value it will deliver.
- Notes:
- OCLC-licensed vendor bibliographic record.
- Reprint #65334.
- OCLC:
- 1427256118
- Publisher Number:
- 53863MIT65334
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.