749: Data Science for Clean Energy, with Emily Pastewka

Data science for clean energy takes center stage as Emily Pastewka from Palmetto joins Jon Krohn this week, exploring innovative paths to a sustainable future. This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life. This episode is brought to you by Prophets of AI (https://prophetsofai.com), the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information. In this episode you will learn: • Emily on her Master's in Deep Learning [08:20] • Using AI to solve clean energy challenges at Palmetto [17:22] • The different roles needed to solve cleantech problems [27:33] • How econometrics impacts consumer decision-making [38:56] • How Emily manages high-performing teams [56:30] • The tools and technologies that drive small teams [1:06:58] Additional materials: www.superdatascience.com/749

Om Podcasten

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.