Don’t miss the investor-focused session “Current and Future State of the ML DataOps Landscape” at the iMerit ML DataOps Summit on November 8.
As companies deepen the commercialization of AI applications to improve business efficiency, many are realizing the massive transformation and growing complexity of the machine learning data operations landscape.
Join our panelists as they delve into these complexities and share their insights. You will hear from Alfred Chuang, founder and general partner of Race Capital; Andy Pavlo, professor of computer science at Carnegie Mellon University and CEO and co-founder of OtterTune, and Pavan Tripathi, partner at Bregal Sagemount.
Alfred Chuang — recognized by Andreessen Horowitz as the “CEO of the CEO of Silicon Valley” — is an accomplished entrepreneur and venture capitalist. Prior to joining Race, Chuang co-founded and took public BEA Systems. He also became Chairman of the Board of BEA where he remained until 2008 when Oracle acquired the company for $8.6 billion.
Prior to BEA, Chuang led product development, network infrastructure, and systems architecture at Sun Microsystems, Inc. During his tenure, Sun grew from less than 1,000 to 60,000 people with a turnover of cases of more than 6 billion dollars.
Andy Pavlo is an Associate Professor of Databases in the Department of Computer Science at Carnegie Mellon University. His (unnatural) infatuation with database systems inadvertently earned him several accolades, such as the VLDB Early Career Award, NSF CAREER, Sloan Fellowship, and the ACM SIGMOD Jim Gray Best Dissertation Award. He is also CEO and co-founder of database tuning startup OtterTune.
Pavane Tripathi is a partner and co-founder of Bregal Sagemount. Prior to Bregal Sagemount, Pavan was an investment banker and private equity investor at Goldman Sachs. Most recently, he was a member of the growth equity team in the Merchant Banking division of Goldman Sachs. Pavan graduated summa cum laude from the University of California, Los Angeles with a BS in Electrical Engineering and a BA in Economics, and earned an MBA from Stanford University Graduate School of Business.
These are just three of the many AI/ML game changers you’ll find in our busy schedule. Check out the other sessions, then join us for the iMerit ML DataOps Summit on November 8th.
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