Building Embedded Vision Products: Management Lessons From The School of Hard Knocks


Date:  Tuesday, May 17 (Main Conference Day 1)

Start Time: 5:25 pm

End Time: 5:55 pm

It’s hard to build embedded AI and vision products, and the challenges aren’t just technical. In this talk we’ll share management pitfalls frequently encountered when planning and building embedded vision systems. We’ll focus on the importance of understanding exactly what problem you’re solving with vision—and why you’re solving it—and the customer and business benefits enabled by this clarity. We’ll highlight the importance of collaboration between engineering and product marketing. For those who are new to embedded vision development, we’ll acquaint you with some of the common difficulties encountered in such work, and conclude with suggested management best practices for embedded vision/AI product development.

Track

Session Speakers

  • Phil Lapsley is a co-founder and Vice President at engineering consulting firm BDTI, and Vice President of Business Development at the Edge AI and Vision Alliance. At BDTI he leads computer vision and embedded AI projects. Previously he has worked at several startups, as well as at McKinsey & Company, a management consulting company that advises Fortune 100 companies on business strategy. He holds B.S. and M.S. degrees in electrical engineering and computer sciences from U.C. Berkeley and an MBA from the MIT Sloan School of Management. He is the author of “Exploding the Phone”, a history of the first network hackers, coauthor of “DSP Processor Fundamentals”, and inventor or co-inventor on 26 patents. He is also the co-creator of Network News Transfer Protocol (NNTP; Internet standard RFC 977), and was a contributor to the Berkeley UNIX project.


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Building Embedded Vision Products: Management Lessons From The School of Hard Knocks