Investing in AI - From Developers to Investors
Join us for "Investing in AI - From Developers to Investors" on Thursday, September 26, 2024. Whether you're a tech enthusiast, a budding investor, or just curious about the intersection of AI and finance, this event is your golden ticket to an evening of networking, learning, and inspiration.
Schedule:
* 6:30pm - 7:00pm - networking
* 7:00pm - 7:15pm - lightning talk (Tony)
* 7:20pm - 8:00pm - main talk/fireside chat (Kevin)
* 8:00pm - 8:30pm - networking
Lightning talk: Engineer to Angel Investor
Speaker: Tony Tran (Engineering @ Sydecar)
Description:
Tony will share his journey from coding to investing, offering tips on leveraging your developer skills to become an angel investor. You'll learn about the requirements, how to find deals, and the tactics/tools that can help you navigate the world of venture investing.
Main talk: From Engineer to VC
Speaker: Kevin Novak (Founder of Rackhouse VC)
Description:
In this fireside chat, we’ll be talking with Kevin about his journey from being an Engineer at Uber to becoming a Venture Capitalist. In doing so, we’ll be asking Kevin about lessons learned from starting a VC fund. Additionally, we’ll be asking him for what he looks for when evaluating companies. Come with questions!
About the speaker:
He served as Uber’s first Head of Data Science, its first Head of Data Science Platform, and was one of the early members of a Uber Freight (Uber’s innovative freight marketplace). Kevin was the inventor of Uber’s dynamic pricing product, and holds several patents around GPS points processing, marketplace optimization products, and using data science to improve the mobile experience. He has also served as Chief Data Officer for Tala Financial, an alternative underwriting lender, helping the world recognize the creditworthiness of those without traditional financial identities. Kevin has invested in firms like Standard Cognition, Volley Automation, and several dozen others. He was one of the founders of the Greylock Data Science Community and regularly advises universities around the US on data science curricula.