How do logistics and automation intertwine? What are common misconceptions about decision automation? How do efficiency and sustainability power the circular economy? We asked startup founders these questions and more.
It’s been one year since we launched the new and improved Nextmv platform. That was just the start of an exciting dash to arrive at the product we have today. We’ve come a long way, and there's so much more to come.
Decision optimization technology plays a critical role in everyday operations — food delivery, healthcare staffing, and subscription box assembly — but it can often stand in its own way. It doesn’t have to.
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.
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.
