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Introduction
Exploring the equilibrium required in engineering leadership between addressing current customer needs and anticipating future technological trends, along with insights on incorporating AI ML into product development, team structure optimization, and integrating AI into internal tools.
We discuss how to navigate the delicate balance between meeting current customer needs while also preparing for future tech trends & opportunities with Evan Welbourne, Head of AI and Data @ Samsara. Evan dissects the rapidly transforming pace of developing AI/ML products, sharing strategies for merging conversations around differing product-building processes, tips for moving seamlessly / gaining approval between product development stages, defining what customer success looks like, methods for working backward from problems, and best practices for avoiding friction throughout the product development process. He also shares frameworks for envisioning & working toward future tech possibilities while simultaneously developing hypotheses that inform future direction, creating diverse AI/ML team composition, and effectively communicating with stakeholders.
Evan Welbourne is the Head of AI and Data and Samsara, leading the organization’s machine learning, computer vision, data science, and data analytics teams – as well as data engineering and data platform for the company. He has a long-standing career in both machine learning and IoT. Before Samsara, Evan held various roles at Amazon, including the Head of Machine Learning for Alexa Smart Home and Manager of the Computer Vision Research Group. He also led research teams at Samsung and Nokia.
Evan earned his Ph.D and M.S. in Computer Science and Engineering from the University of Washington and holds a B.S. in Computer Science and Mathematics from the University of Toronto.
"With AI, there's something new every week. You could stay in those stages forever. You can just keep iterating and trying new things, but at some point you have to kind of cut it off. You've got to time box it and just go with something that you know will work. You're constantly also calibrating between the quality of what you're delivering and the time it takes you to deliver it. A lot of that problem backs into this early stage of the process. We do want to do a good job of understanding opportunity but there's analysis paralysis. We don't want to just get stuck there.”
- Evan Welbourne
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Patrick Gallagher - Producer & Co-Host
Jerry Li - Co-Host
Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/
Dan Overheim - Audio Engineer, Dan’s also an avid 3D printer - https://www.bnd3d.com/
Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/
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Listen to the best highlights from the podcasts you love and dive into the full episode