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?
It’s new and yet old. It bridges data science and business operations. And it’s an emerging piece of critical infrastructure for realizing a more efficient, responsive, and predictable world.
From software development to operations research to the classroom, Professor Thiago Serra has experienced the world of optimization through many lenses. We chatted with him to learn more.
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.
