​The companies winning with Computer Vision (CV) aren’t the ones with the fanciest models—they’re the ones who invested in early, expert assessment before committing to a path.

​Join us for an exclusive live webinar featuring Steve Yin, Principal Software Engineer at Fresh and a PhD in Electrical & Computer Engineering from the University of Illinois.

​Algorithms are increasingly commoditized. What differentiates leaders is how they translate those capabilities into robust, scalable systems that deliver measurable business value.

​In this webinar, we’ll explore:

• ​Why customization, integration, and operational fit—not model novelty—drive real‑world CV performance.

• ​How three organizations in very different industries used discovery and assessment to avoid common traps like vendor lock‑in, “pilot purgatory,” and misaligned success metrics.

• ​A practical view of total cost of ownership for CV systems, including data pipelines, MLOps/CI‑CD, and long‑term maintenance.

• ​How to structure a phased investment approach that balances quick feasibility wins with long‑term deployment strategy.

​Develop a winning computer vision strategy by knowing what pilots should deliver, how to spot real ROI, and where to invest for maximum payoff.

​Presentation followed by interactive Q&A.

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​Presenter:

​Steve Yin, Ph.D, Principal Software Engineer After finishing his Ph.D. study in ECE from University of Illinois at Urbana-Champaign, Steve started his career in advanced electrical and biomedical engineering R&D work for clinical applications. He later became a tech entrepreneur in new product development and commercialization. Steve's specialties include R&D in signal and imaging processing, computer vision, and AI/ML, along with data analytics, program management, and continuous improvement.

​Reserve Your Spot Today

​We’ll close by outlining our 3‑part CV Assessment and how a short discovery conversation can clarify where CV can create outsized ROI in your organization—and where it might not.

​Space is limited. Don't miss your chance to learn from one of the Northwest's leading minds in computer vision innovation.

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