How can GPUs improve decision optimization workflows? In what ways will solving optimization problems change? How does this change the way technology leaders think about their AI strategies? We spoke with the NVIDIA cuOpt team to find out.
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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.
Our first major version has landed – merging tools for building, testing, deploying, and managing decision models into one platform. Ship more models, rapidly iterate and improve, and make greater operational impacts with Nextmv.
We explore continuous improvement for a Google OR-Tools decision model using testing techniques at each stage of the development lifecycle and GitHub.
It’s time to understand the behavioral impacts of a new decision model under real-world conditions compared to a production model. Switchback testing enables this, helping build confidence in a new model’s rollout in a safe and measured way.
From configuring model options to performing experiments on subscribed apps, there’s a whole lot more you can do in the Nextmv console to accelerate the development of your decision algorithms.
