How to Increase Machine Learning Adoption in Your Company

Find a leader who is passionate about machine learning And essentially create a pitch for them and have them vouch for it. In which order would you put such a program that you did? Would you say this is mostly for mature companies to bring up adoption after it's already been in progress for a while Or is it something you would rather do in the beginning so that people even get to the adoption?

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MLOps Coffee Sessions #156 with Melissa Barr & Michael Mui, Machine Learning Education at Uber, co-hosted by Lina Weichbrodt.

// Abstract

Melissa and Michael discuss the education program they developed for Uber's machine learning platform service, Michelangelo, during a guest appearance on a podcast. The program teaches employees how to use machine learning both in general and specifically for Uber. The platform team can obtain valuable feedback from users and use it to enhance the platform. The course was designed using engineering principles, making it applicable to other products as well.

// Bio

Melissa Barr

Melissa is a Technical Program Manager for ML & AI at Uber. She is based in New York City. She drives projects across Uber’s ML platform, delivery, and personalization teams. She also built out the first version of the ML Education Program in 2021.

Michael Mui

Michael is a Staff Technical Lead Manager on Uber AI's Machine Learning Platform team. He leads the Distributed ML Training team, which focuses on building elastic, scalable, and fault-tolerant distributed machine learning libraries and systems used to power machine learning development productivity across Uber. He also co-leads Uber’s internal ML Education initiatives. Outside of Uber, Michael also teaches ML at the Parsons School of Design in NYC as an Adjunct Faculty (mostly for the museum passes!) and guest lectures at the University of California, Berkeley.

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// Related Links

https://www.uber.com/blog/ml-education-at-uber-program-design-and-outcomes

/https://www.uber.com/blog/ml-education-at-uber/

https://www.uber.com/en-PH/blog/ml-education-at-uber/

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