When AI Meets Atoms with Windscape AI

The Seed - A podcast by Jake Wombwell Povey

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Join us for today's podcast where our host Jake Wombwell-Povey interviews the two co-founders of Windscape AI, Eric Thompson (CEO) and Jason Yosinski (CTO).Windscape combines low-cost pressure sensors and artificial intelligence to provide cleaner and more accurate data to optimise wind turbine operations. Though selling this technology to utilities is challenging due to the long, costly, and bureaucratic process, they have found early adopters and are working towards permeating the industry. The co-founders also express their views on artificial intelligence, machine learning, and their potential uses in sustainability and climate change. They identify some overhyped trends and discuss their preferred policy reform of a price on carbon.Contact JakeLinkedinSubstackContact Windscape.aiLinkedinWebsite00:01 Introduction to the Podcast01:01 Guest Introduction: Co-founders of Scape AI02:29 Origins of Windscape and the Founders' Journey08:54 Understanding the Technology Behind Windscape09:04 The Role of AI and Machine Learning in Windscape09:13 The Impact of Technological Advancements on Windscape's Existence11:12 How Winscape Improves Efficiency for Wind Turbine Operators15:55 The Distinction Between AI and Machine Learning21:56 Challenges and Lessons from Selling Novel Technologies in the Wind Industry24:14 Understanding Wind Farm Ownership and Operations24:52 Building Relationships with Asset Managers27:19 Challenges and Barriers in Wind Farm Operations29:42 Navigating Stakeholder Mapping and Incentivization31:33 Finding Advocates within Organizations33:28 Targeting Early Adopters in the Wind Industry34:07 The Impact of Windscape on Wind Farm Output37:46 Potential Applications of AI in Power Generation45:33 Investing in Sustainability and Climate Crisis Solutions48:04 Enacting Policy Reforms for Climate Crisis48:54 Contacting and Learning More About WindscapeIf you enjoyed this episode please subscribe to our channel and leave a review.