AI/ML + mathematical optimization: Overview, benefits, case studies, and protips
Автор: Nextmv
Загружено: 2025-07-24
Просмотров: 221
“What is your AI strategy? How are you investing in AI? Where are you incorporating AI into your everyday workflows?” These are popular questions right now — and while your thinking might go straight to GenAI, LLMs, or machine learning, you should consider mathematical optimization as part of your answer. This session is hosted by Nextmv and Aimpoint Digital, and provides an overview of what optimization is, use cases, benefits, and starter steps for data science and AI leaders looking to leverage the power of decision science. Learn more at www.nextmv.io and www.aimpointdigital.com.
01:39 - What is mathematical optimization? What are some use cases?
07:55 - Why haven't I heard as much about optimization?
12:55 - How do optimization projects get to production?
18:55 - What should you ask of a decision modeler?
23:40 - Why not just use machine learning?
28:51 - How do you know if you need optimization?
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