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Emmanuel Turlay: How to make ML teams 80% more productive: table stakes features for ML platforms



Emmanuel started his career in academia 15 years ago doing Physics research at CERN before branching out to tech and moving to the US in 2014. He worked at Instacart for 4 years where de lead teams around payments, and data science. In 2018 he joined Cruise where he cofounded the ML Infrastructure team and led it until 2022, when he founded Sematic, an open-source ML Infrastructure company.


How to make ML teams 80% more productive: table stakes features for ML platforms.


Today the vast majority of ML projects never make it to production. To blame (in parts) is the wide gap between the complexity of cloud infrastructure and the skills of the ML workforce. We will discuss how we solved this problem at Cruise (SF robotaxis) and what areas all ML platforms should cover to enable their users to do their best ML work at breakneck speed.

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