Artificial Intelligence in Energy and Climate Change

What are self driving buildings? How do electric vehicles continue to innovate with EV charging networks and real estate? How can one think about turning legacy energy infrastructure into autonomous systems for consumers and businesses? In this episode, Mark Chung discusses the impacts of personalization in ESG, why the artificial intelligence revolution has just begun, how autonomous buildings operate and what can people do to avoid a climate disaster. About the Speakers: Mark Chung is cofounder & CEO of Verdigris. Mark is a seasoned engineer with more than 25 years of experience. In his career, Mark has served as principal engineer at a number of famed Silicon Valley startups including NexGen (acq. AMD), Pasemi (acq. Apple), RMI, and NetLogic (acq. Broadcom). Mark has also co-developed some of the world’s most successful chips such as Opteron, XLP, and A7, among others. Mark is an advisor to several startups and was recognized as one the “40 under 40” in 2017 by Silicon Valley Business Journal. Mark holds BS and MS degrees in Electrical Engineering from Stanford University. Verdigris has built the industry’s most advanced AI-based smart building management platform. The company’s proprietary technology combines hardware sensors, machine learning, and software to “learn” the energy patterns of a building and provide real-time data that lets businesses track energy usage and trends. Verdigris ultimately provides critical energy information to identify and rectify waste, and can even predict future breakdowns that can save organizations tens of thousands of dollars per year. Nimay is VP of Product and Growth at Jivox, the leader in personalized commerce marketing. He is responsible for leading Jivox's commerce product initiatives and growth. He has over 15 years of experience in cloud, ML and IoT based technologies. He is a TED speaker, White House Presidential Innovation Fellow admit, NASA based Singularity University graduate and MBA from INSEAD.