Each year, finalists in the Franz Edelman Award Competition demonstrate how advanced analytics and operations research are solving real problems at massive scale – from the products we buy and the packages we receive to the healthcare we rely on and the policies that shape our communities.

Joining me today are members of the team from ECCO, the globally recognized footwear brand known for its vertically integrated supply chain and retail operations.

Managing inventory across hundreds of retail locations around the world is a massive logistical challenge. Historically, store replenishment decisions were made manually, which often led to inconsistent ordering, operational inefficiencies, and missed opportunities to optimize inventory placement.

To address this, ECCO's data & AI team developed a powerful analytics system that uses large-scale stochastic mixed-integer programming to automate store replenishment decisions across their global retail network.

Our latest guest brings a voice – and I do mean a voice – that you don't often hear in the data world. He's bold, he's sharp, and he's not afraid to call out the fluff that can cloud today's analytics conversations. Scott Taylor, also known as The Data Whisperer, is a global advocate for strategic data management, the author of Telling Your Data Story, and one of the most honest, and most likeable, truth-tellers in the data space.

Whether he's breaking down metadata metaphors or championing the case for master data as the foundation of all things analytics, Scott's mission is crystal clear: No matter how fancy your AI is, it's worthless without the right data underneath.

Scott is a keynote speaker at the upcoming 2026 INFORMS Analytics+ Conference, where he'll be shaking things up with his signature style.

Even though we are are still navigating the AI boom and its growing impact, it's still important to also keepo looking ahead to what's next. In this episode, we're diving into a topic that sparks imagination, confusion, and maybe even a little fear: quantum computing.

Joining me in this episode is Tamás Terlaky, a longtime INFORMS member and a global leader in optimization, interior point methods, and – more recently – the future of quantum computing. Tamás is a professor at Lehigh University and a passionate advocate for preparing the OR/MS community for the next technological wave.