Computers keep getting faster. But sometimes, taking full advantage of new computing power requires more than simply speeding up the way we’ve always done things. It requires rethinking the way we solve problems altogether. Welcome to Resoundingly Human: The INFORMS Podcast where we share how operations research, analytics, data science, and AI are helping us better understand – and improve – the world around us. Today’s guest has spent his career exploring how we can solve some of the most complex optimization problems more effectively. A professor at the Jacobs Technion-Cornell Institute at Cornell Tech, Andrea Lodi will be joining…

Artificial intelligence has become one of the defining technologies of our time. But what if the way we’re thinking about AI – starting with the very idea of “intelligence” – is too narrow? Today’s guest has spent decades helping shape our understanding of machine learning and its connections to statistics, computation, cognition and decision-making. Michael Jordan is a researcher at Inria Paris and Professor Emeritus at the University of California, Berkeley and will be joining us in San Francisco as the opening plenary speaker at the 2026 INFORMS Annual Meeting, where he’ll present “A Collectivist, Economic Perspective on AI.”

If you’ve ever visited a hospital emergency department, chances are you’ve experienced one of its most persistent challenges: waiting. For hospitals, reducing those wait times can seem like a capacity problem. More patients require more beds, more staff or more space, right? But what if one of the solutions is simply making better decisions about how the resources already available are used? Joining me today is Agni Orfanoudaki, Oxford University, to share new research on a data-driven approach to determining which patients actually need a traditional emergency department bed and who can be treated in alternate locations. Ultimately, this reduced…