Do you launch decision model A or B? What happens if an operator makes a manual override? How does a new optimization model perform against real-world data? Testing and experimentation has the answers, but getting them has traditionally been a challenge.
Are AI, ML, and OR the same or different? Is operations research a solved problem? How do you know if you’re ready for optimization? We asked industry veteran Karla Hoffman these questions and more.
2022 was a big year: the next-gen Nextmv platform, multi-paradigm solving, INFORMS, curling in Montreal. 2023 has even more goodness in store.
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Traditional decision optimization and automation setups can take many months and several teams to ship to production. What if it didn’t have to be that way?
Solvers help us tackle big problems. But how well do you understand the solver technology that you have? Did you build it? Buy it? Will it scale with your operations?
Learn how to leverage data and AI for better operational decisions.
How do optimization teams get decision models live into business processes faster as managed services? We explore this through the lens of dedicated DecisionOps workflows.
What approaches are available to decision scientists and operations researchers to incorporate more randomness and uncertainty into their models? We explore this, ML + OR, and stochastic optimization with Nextmv and Seeker.
The CEOs and founders of two startups sit down with Carolyn Mooney to discuss logistics and automation, navigating the evolving world of AI technology, and the benefits of efficiency and sustainability.
Is optimization a solved problem? How does it fit into modern business models such as on-demand delivery? What does it mean to model like an operator? We’ll ask Dr. Hoffman these questions and more.
