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This is being announced now in the Google Next keynote.

This platform focuses not on the this-AI-is-magic-and-can-solve-everything like many AI SaaS startups announced on Hacker News, but focuses on how to actually integrate this AI into production workflows, which is something I wish was discussed more often in AI.

The announcements here, including AutoML Tables (which is coincidentally similar to my own Python package: https://news.ycombinator.com/item?id=19492406), the new BigQuery BI tools, and the new Google Sheets integrations, make me a very happy data scientist.

I'm taking the rest of the week to figure out how to integrate everything announced into my team.




Hi @minimaxir, I just checked the readme of your project. It looks great, there's a mention to integrate Polyaxon[0] for running jobs in distributed way on Kubernetes. Let me know if you need any help with that.

[1]: https://github.com/polyaxon/polyaxon/


Sure! :)


Are you guys quite embedded into the Google Cloud system?

We’re a startup that helps with AI deployment management (our only focus is production AI - embedded everywhere) and I wonder how many companies are who’d be interested in their end-to-end offering.


Looks like Google is taking over Cloud (from AWS) for AI by building an ecosystem and building tools for non Data scientists - consumer level product. Surely IBM can do similar thing with their recent Redhat acquisition, but will they ?


I am not sure that there is a connection between redhat and AI?


I might be missing something but AWS seems to have analogous products for everything in this article. Or is your point that AWS tools are less consumer friendly?


Azure and Amazon have these offerings for multiple years already, or? Including workflow tools, like Flow.


So what is exactly Azure or Amazon offering for "AutoML Tables" or for "End-to-end AI Platform that runs ALSO on premises"?


There is Autometed ML on Azure (in theit ML studio) https://docs.microsoft.com/en-us/azure/machine-learning/serv...

From Amazon there is no automated ML solution (autoML that you can train models with few clicks)


Any thoughts on Nvidia's RAPIDS?




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