AI Infra 2029 with Two Sigma Ventures
Where is AI Infrastructure headed, and what will it look like in 2029?
Two Sigma Ventures invites you to AI INFRA 2029 hosted by Dan Abelon, Partner, TSV & Vin Sachidananda, Principal, TSV on July 29th from 6:00 PM - 8:00 PM, for discussion and debate on the next 5 years of the space. Featured speakers include Jonathan Frankle, Chief AI Scientist, Databricks and Zhou (Jo) Yu, Professor at Columbia University and Founder of Articulate.AI (Alchemist '23).
ABOUT THIS EVENT
In the world of entrepreneurship, seeing what's around the corner is everything. Meanwhile, most predictions are either too distant, making them abstract and impractical, or imminent, leaving opportunity and innovation in the past.
Two Sigma Ventures’ 2029 events bridge the gap by pairing Partner Dan Abelon with experts and entrepreneurs to discuss and predict what certain industries might look like right at the sweet spot––5 years from today, in 2029.
Dan Abelon joined Two Sigma Ventures in 2015 and focuses his time investing in data-driven enterprise and consumer startups. Before joining Two Sigma, Dan was an entrepreneur as well as an investor in areas such as data science, healthcare IT, and IoT. Previously, Dan co-founded SpeedDate (acquired by IAC), a live-video online dating service that used real-time matching algorithms to connect its 23 million members. Dan holds an MBA from Stanford and a BA in Economics and Philosophy from Columbia.
Vin Sachidananda joined Two Sigma Ventures in 2023 with a focus on early-stage investments across a variety of verticals including Artificial Intelligence, B2B SaaS, Infrastructure, and Developer Tools. Prior to joining Two Sigma Ventures, Vin spent a decade at startups, large companies, and academia working as a data scientist, early stage engineer, and product manager. Vin built large-scale AI products at Google, Apple, and Amazon and was a founding engineer at B2B SaaS and Infrastructure startups spun out of MIT (Celect acq. Nike) and Stanford (Clockwork Systems). Additionally, he worked as a product manager for cloud computing projects at NASA and has taught courses on Machine Learning and Entrepreneurship. Vin earned his PhD and MS degrees in Electrical Engineering from Stanford University.
Please note that this event is only accessible if your registration has been accepted, and you must have received an approval email to attend. Please confirm that your first and last name on your registration match your ID for the security desk. This event is also closed to the media.