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Recorded at Empower Chicago 2025. Modeling leaders from both companies explain why they switched and what setting up always-on modeling has taught them so far.

Brooke Collins, Luisa Janer, Austin Haygood and Pushkar Oke from Lyric's modeling team talk about clunky legacy tools, faster iteration, and how customers are rethinking their modeling setup.

Lyric's scientists and engineers compare one-time network studies with models that keep running, and lay out the four layers of analysis behind that shift.

Brian Carpentier, who runs network design at TreeHouse, explains how his team connected SAP data straight into its models and started tracking savings as they happen.

Frank Corrigan explains the Decision Mesh idea, where planners, modelers, and data scientists change their own models without waiting on a vendor.

Ganesh Ramakrishna explains why network models outgrow desktop tools. He also makes the case that data stuck in spreadsheets is usually the harder problem.