p/uber-engineering
From practice to people
Vinod Ponmanadiyil
Michelangelo, by Uber — Uber's machine-learning-as-a-service platform
Featured
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Michelangelo, is an internal ML-as-a-service platform that democratizes machine learning and makes scaling AI to meet the needs of business as easy as requesting a ride. Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale.

Replies
Tommy Nicholas
This should not be on Product Hunt as it is not a product - can someone explain why this is here?
Joshua Pinter

This post is more like BlogHunt instead of ProductHunt. I don't get it.

Pros:

Cool to read what they're up to.

Cons:

Not available to the public to use.

Hayden Evans
Uber's extreme hubris is even shown through how they name their own internal programs 😂 First there was "God Mode", now "Michelangelo"? Can't help but roll my eyes and cringe 🙄😬
Menachem Pritzker
Is this publicly available? Doesn't look like a product
Parker Woodward

Agree with other Ph'ers...this isn't a Product you can use, at least not yet, maybe a bit early for PH :( I'm crying inside now

Pros:

Looks awesome

Cons:

Not available to public

Nick Smith
“Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale” Seems to be an internal system/blog post about it, rather than a platform.
Abhilash Jain
Very interesting
Shabaz
It's an internal tool at Uber. This technical debt was also observed at Facebook and they created their own tool, fblearner (https://venturebeat.com/2016/05/...)
Cuneyt M.

So where is the product? What kind of hunt is it?

Pros:

Cool

Cons:

Where is the product?

Hrant Arzumanyan
Not bad, but I think it doesn't fit to Product Hunt.
Brent Hinks

You can't use this tool, but you CAN use the Nexosis API for free! ;)

https://www.producthunt.com/post...

Pros:

Democratizing ML is a great goal

Cons:

This isn't democratized ML