Partnerships in AI Drive Conservation Efforts: WWF’s Dave Thau

Partnerships in AI Drive Conservation Efforts: WWF’s Dave Thau

Author: MIT Sloan Management Review April 25, 2023 Duration: 26:07
Wildlife conservation efforts may not be the first thing that comes to mind when one thinks about opportunities to use artificial intelligence and machine learning. But Dave Thau, data and technology lead scientist at the World Wildlife Fund (WWF), can share myriad examples of how these technologies are helping our planet. On this episode, Dave joins Sam and Shervin to discuss WWF’s many uses of AI and machine learning. Among them are applications that predict deforestation, analyze images from motion-sensitive cameras to identify species, optimize wildlife patrols to catch poachers, and reduce the illegal wildlife trade online. These conservation efforts are not only supported by nonprofit partners with shared goals but by tech-company partners that are sharing advanced AI technologies. Read the episode transcript here. NEW! For specific takeaways from this episode and guidance on how you can implement them in your own work, download our episode toolkit here. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. Guest bio: Dave Thau is the World Wildlife Fund’s data and technology global lead scientist, focusing on applying artificial intelligence in conservation and using technology for long-term impact monitoring. Previously, he worked at Google, where he helped launch Google Earth Engine and managed developer relations. He also helped to develop the Global Forest Watch nature monitoring platform with the World Resources Institute, and the Map of Life species data platform. Thau’s work in data management, sustainability, AI, and remote sensing has been published in several journals. He is also a member of the Knowledge and Data Task Force for the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. Thau has a doctorate in computer science from the University of California, Davis. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

Ever wondered how some organizations manage to turn artificial intelligence from a buzzword into a genuine engine for growth, while others struggle to move beyond the pilot phase? Me, Myself, and AI, a production from MIT Sloan Management Review, goes straight to the source to find out. Instead of theoretical discussions, this podcast features candid conversations with the people who are actually building and implementing AI systems at scale. You'll hear directly from leaders at prominent companies like YouTube, Cisco, and Hugging Face as they recount their journeys-not just the polished successes, but the real-world challenges, strategic decisions, and sometimes surprising lessons learned along the way. Each episode digs into the practicalities of creating measurable business value, cutting through the noise to reveal what effective AI leadership and integration truly look like. It’s a focused exploration for anyone in technology, business, or education who wants to understand the human and operational stories behind the algorithms. Tune in for an unvarnished look at the future being built, one practical application at a time.
Author: Language: English Episodes: 100

Me, Myself, and AI
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