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The Current MLOps Landscape

Posted Nov 18, 2020 | Views 368
# Interview
# Panel
# Investing
# airstreet.com
# essencevc.fund
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speakers
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Nathan Benaich
General Partner @ Air Street Capital

Nathan Benaich is the Founder and General Partner of Air Street Capital, a venture capital firm investing in early-stage AI-first technology and life science companies. The team’s investments include Mapillary (acq. Facebook), Graphcore, Thought Machine, Tractable, and LabGenius. Nathan is Managing Trustee of The RAAIS Foundation, a non-profit with a mission to advance education and open-source research in common good AI. This includes running the annual RAAIS summit and funding fellowships at OpenMined. Nathan is also co-author of the annual State of AI Report. He holds a Ph.D. in cancer biology from the University of Cambridge and a BA from Williams College.

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Timothy Chen
Managing Partner @ Essence VC

Tim is the Managing Partner at Essence VC, with a decade of experience leading engineering in enterprise infra and open source communities / companies.

Prior to Essence, Tim was the SVP of Engineering at Cosmos, a popular open source blockchain SDK. Prior to Cosmos, Tim cofounded Hyperpilot with Stanford Professor Christos Kozyrakis which later exited to Cloudera. Prior to Hyperpilot, Tim was early employee at Mesosphere and CloudFoundry.

Tim is also active in the open source space as an Apache member.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

In this session, we explored the MLOps landscape through the eyes of two accomplished investors. Tim And Nathan shared with us their experience in looking at hundreds of ML and MLOps companies each year to highlight major insights they have gained. What do the ML infrastructure and tooling landscape look like at the moment? Where have they been seeing patterns emerge? What do they expect to see happen within the market in the next couple of years? What current tools out there are the most interesting to them? And last but not least how do they go about selecting which companies to invest in.

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