Michelangelo - Machine Learning @Uber

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Video with transcript included: bit.ly/2Psd9B6
Jeremy Hermann talks about Michelangelo - the ML Platform that powers most of the ML solutions at Uber. The early goal was to enable teams to deploy and operate ML solutions at Uber scale. Now, their focus has shifted towards developer velocity and empowering the individual model owners to be fully self-sufficient from early prototyping through full production deployment & operationalization.
This presentation was recorded at QCon San Francisco 2018: bit.ly/2uYyHLb
The next QCon is Qcon New York 2019 - June 24-26, 2019: bit.ly/2Uyj39C
For more awesome presentations on innovator and early adopter topics check InfoQ’s selection of talks from conferences worldwide bit.ly/2tm9loz
Interested in Artificial Intelligence, Machine Learning and Data Engineering? Follow the topic on InfoQ: bit.ly/2rrEicK
#MachineLearning #Uber #CaseStudy #InfoQ #QConSanFrancisco

[@ukimayday8827]

can we use michelangelo right now?

[@BruceMagnus]

As cool as this is, Uber's ETAs are crap, their maps are crap (pickup/dropoff locations are consistently wrong), and their customer support is crap (I had to send 15 messages about one issue to finally get someone to give me a human response instead of copy/paste boilerplate and that human response still didn't solve the issue).

[@cedricvillani8502]

Snooze fest 💤 sry Uber but you can’t have my data or money. 👋 bye