Over The Edge is an interview-driven technology show about edge computing, AI, and the infrastructure that makes modern data useful. It treats the edge as a working layer of the internet. The conversations are rarely abstract for long. A discussion of AI becomes a comparison between human learning, expert systems, model limits, and business-focused deployment. A Tour de France episode turns into a lesson in low-power sensors, intermittent connectivity, live statistics, and prediction at the roadside. Data centers are treated as part of the edge story, especially as AI changes power density, cooling, and deployment choices. The show spends time on liquid cooling, immersion cooling, and the messy physical realities behind compute capacity. Retail episodes focus on operational pain. Cameras, refrigerators, point-of-sale tools, and people-counting systems create data, but the value often stalls when each system lives in its own silo. That practical frustration gives the show much of its shape. Guests also bring edge computing into robotics, private 5G, smart buildings, digital cities, surgical training, and sustainability projects. The range is broad, but the center stays consistent: data has to be processed where timing, cost, safety, or connectivity make the cloud alone insufficient. The pacing is conversational and technical. Bill Pfeiffer often follows a guest’s example into the engineering tradeoffs behind it, then pulls the thread toward wider consequences. That can mean store automation one moment and technological feudalism the next. The show is best for listeners who already care about infrastructure, enterprise technology, or AI deployment and want more than surface trend talk. It is sponsored and industry-facing, so the perspective often comes through executives, technologists, and practitioners close to large-scale implementation. Its value is in those constraints. Over The Edge makes edge computing feel less like a category label and more like a series of hard, specific decisions made in stores, cities, races, hospitals, networks, and data centers.