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In Plain Sight explores how computer vision is reshaping real-world operations.We take a look at how visual AI is applied across manufacturing, logistics, construction, and other complex environments. Safer workplaces. Better visibility. Smarter decisions powered by existing cameras.This series goes beyond theory, examining what happens when computer vision moves past the pilot stage and into real deployment. The goal is simple: to understand how organizations turn early success into lasting operational impact.
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Signup to Generate a PitchIn Plain Sight is a news podcast hosted by viso.ai, with 12 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
viso.ai hosts In Plain Sight, a news show with 12 episodes published.
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Episode #1
<p>For fifteen years, computer vision has done one thing well: recognizing what it was trained to see. That era is over, and we’re introducing what comes next.</p><p>Join viso.ai co-founders Nico Klingler and Gaudenz Boesch to mark the beginning of something new in visual AI.</p>
Episode #1
<p>Getting a first computer vision deployment live is the easy part, so why do so many scaling programs stall?</p><p>In this conversation, we challenge the assumption that scaling is simply a matter of adding more cameras and sites. Instead, we explore what actually determines whether a program becomes a repeatable operational capability or gets stuck at use case one. Rather than focusing on theory, this discussion brings a practical, field-tested perspective on how leading organizations are sequencing rollout, aligning stakeholders, and building governance structures that hold up under real-world pressure.</p><p>We unpack the three layers...
Episode #1
<p>Union resistance is often seen as one of the biggest barriers to scaling computer vision, but what if that assumption is wrong?</p><p>In this session, we challenge the “fear factor” and explore how unions and workforces are increasingly engaging with AI-driven initiatives when they are introduced with the right intent, structure, and safeguards. Rather than focusing on theory, this discussion brings a practical, real-world perspective on how leading organizations are approaching deployment in a way that builds trust from day one.</p><p>We unpack what truly drives acceptance on the ground, from transparency and governance to alig...
Episode #9
<p>In the first session of In Plain Sight, we tackle the critical question: how do you scale computer vision without creating complexity? This masterclass explores the shift from simple detection to true operational foresight. It challenges the idea that scaling has to be slow, heavy, or disruptive and shows how it can be structured, fast, and value-driven from the start.</p><p>Through real-world examples from safety, quality, and operations, the session breaks down what actually happens after the first successful use case. Why do some rollouts gain momentum while others stall? What causes alert fatigue? And how do...
Episode #8
<p>Vision to Decision Part 2 is for safety and operations leaders who know AI Vision works, but want to see how others are actually using it to reduce risk and improve outcomes at scale. Across construction, manufacturing, and infrastructure, leading organisations have moved beyond pilots and basic compliance to use vision as a core decision-making tool.</p><p>Identifying risky behavior is not enough; firms must institute operation-wide behavioral changes to truly uphold safety standards and precautions.</p><p>In this session, we’ll show what your peers and competitors are doing differently. You’ll see how teams are identifying risk...
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