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.
Podcast Overview
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.
Language
🇺🇲
Publishing Since
3/17/2026
1 verified contact email on file for In Plain Sight
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
June 4, 2026
The era of Visual General Intelligence begins now
<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>
May 7, 2026
Field Guide: Practical Tools to Deploy Computer Vision at Scale
<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 that separate a deployment that scales from one that doesn’t: the model, the logic, and the operational layer. Through concrete examples and candid insights, this webinar will reframe how you think about implementation, helping you move beyond the first use case and toward a rollout motion that gets faster, not harder, with every new camera, site, and workflow you add.</p>
April 24, 2026
Computer Vision Adoption in Unionized Workplaces
<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 aligning technology with worker benefits. Through concrete examples and candid insights, this webinar will reframe how you think about adoption, helping you move beyond hesitation and toward scalable, responsible implementation.</p>
12 total episodes available
Deep-dive analytics for In Plain Sight
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is In Plain Sight?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.