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Building Data Science Platforms & Teams at Scale @ Dataiku | Conor Jensen
Manage episode 292440745 series 2701510
Venturi Group: CTO, Data, Development, Cyber Security, Business Intelligence, Infrastructure, Cloud, Venturi Group: CTO, Cyber Security, and Business Intelligence에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Venturi Group: CTO, Data, Development, Cyber Security, Business Intelligence, Infrastructure, Cloud, Venturi Group: CTO, Cyber Security, and Business Intelligence 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Conor Jensen is an experienced Data Science executive with over 15 years working in the analytics space.
He is VP of Data Science for the Americas at Dataiku, helping customers with their biggest and most ambitious AI and Data Science projects. Previously he worked in Customer Success after taking his lumps building out data science teams and platforms at multiple large enterprises. In prior lives, Conor was a Weather Forecaster in the Air Force, a Starbucks Store Manager, an Emergency Management Technician in the Air National Guard, and taught archery and rock climbing. He also earned a Bachelor’s in Mathematics from UIC.
Dataiku is an artificial intelligence and machine learning company which was founded in 2013. In December 2019, Dataiku announced that CapitalG - the late-stage growth venture capital fund financed by Alphabet Inc. - joined Dataiku as an investor and that it had achieved unicorn status, valued at $1.4 billion.
During the podcast episode, Ben sat down with Conor to discuss building and maintaining data science platforms, especially as MLOps becomes more mature. How Conor structures and builds a data science team, especially at scale, and some of the pitfalls to be aware of when doing so.
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