Traditionally, the operations research discipline has been dominated by deterministic optimization practices. But as machine learning and data science continue to grow within businesses, there’s greater desire to bridge the two fields and incorporate more real-world uncertainty into decision models.
In this session, we’ll explore this topic through the lens of Seeker, a new stochastic optimization solver. We’ll provide an overview of what Seeker is, demonstrate running Seeker on the Nextmv platform, and dedicate time to a Q&A session with the Seeker creator and the Nextmv team.
Key topics
- An overview of Seeker + Nextmv
- Running and operating stochastic models on Nextmv
- Q&A with Seeker creator
Get started on Nextmv for free and learn more in the documentation.
Have questions? Reach out to us to talk with our technical team.
