INFORMS is very excited to share the launch of our brand new podcast series, Resoundingly Human, which is dedicated to bringing O.R. and analytics to life by highlighting the incredible contributions of our members who are using O.R. and analytics to save lives, save money, and solve problems.
Language models can make operations research more responsive by translating unstructured signals into constraints, while deterministic solvers and guardrails keep decisions feasible.
UPS was faced with what amounted to the Mother of all Traveling Salesman Problems in its Small Package Operations: how to optimally deploy 55,000 drivers based across the United States, each of whom makes on average more than a hundred deliveries a day. To make the problem even more interesting, UPS added a largely safety-driven constraint: minimize the number of left-hand turns on each driver’s route.
Large language models are transforming complex, real-world problems into formal optimization models. Explore the emerging architectures, workflows, and safeguards behind reliable modeling copilots.
Why do technically sound dashboards so often go unused? Unlocking analytics’ full potential starts with asking the right questions, defining meaningful measures, and ensuring people are ready to act on the answers.