Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Google launches an end-to-end AI platform

techcrunch.com

Post reply on HN
Print view View original

111–120 of 132 posts

Re: Google launches an end-to-end AI platform

#111

Post by cle »

streetcat1 wrote: post #66
_ptgt wrote: post #45

I work in building and deploying production ML/AI models but I'm having a lot of trouble cutting through the marketing jargon in this article and on Google's website as well. Can someone explain what this does in engineering terms? How does this differ from something like AWS Sagemaker?

So for me, automl means machine learning without writing a single line of python code or any code. I.e. data and schema IN, deployed models OUT. With sagemaker you still need to provide the python code for training.

SageMaker has a wide array of built-in training algorithms:

https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html

Re: Google launches an end-to-end AI platform

#113

Post by kerng »

andybak wrote: post #57
crooked-v wrote: post #34

Neat. How long until they shut it down?

Please don't post glib cliched comments. There's a valid point behind this but the same one-liner appearing several times on every Google product announcement is just tiresome.

Google states it's a beta tool, that should set expectations right.

Its worthwhile reminding consumers to not jump on the next Google bandwagon blindly. Its Google's job to convince us wrong, looking at this should help get perspective: https://killedbygoogle.com/

Re: Google launches an end-to-end AI platform

#114

Post by manojlds »

sbr464 wrote: post #100
siavash wrote: post #35

Make sure you've read the service terms[1] if you plan on building apps for speakers, cars, TVs or smart watches... 12.1 The following terms apply only to current and future Google Cloud Platform Machine Learning Services specifically listed in the "Google Cloud Platform Machine Learning Services Group" category on the Google Cloud Platform Services Summary page: Customer will not, and will not allow third parties to…

It’s definitely interesting seeing a service provider place restrictions like that. It seems bad for business, unless business isn’t really the point? I would say if you want to be a provider, be a provider, don’t treat your customers like potential enemies.

In a world where AWS runs a direct competitor of Amazon - Netflix, I can't imagine how Google can get away with something like this.

Re: Google launches an end-to-end AI platform

#115

Post by alexanderdmitri »

manojlds wrote: post #114
sbr464 wrote: post #100

Earlier quoted context omitted.

It’s definitely interesting seeing a service provider place restrictions like that. It seems bad for business, unless business isn’t really the point? I would say if you want to be a provider, be a provider, don’t treat your customers like potential enemies.

In a world where AWS runs a direct competitor of Amazon - Netflix, I can't imagine how Google can get away with something like this.

To be fair, Amazon has a way of eventually becoming a direct competitor of many of the companies they initially present themselves as a middle man for.

Re: Google launches an end-to-end AI platform

#116

Post by manojlds »

alexanderdmitri wrote: post #115
manojlds wrote: post #114

Earlier quoted context omitted.

In a world where AWS runs a direct competitor of Amazon - Netflix, I can't imagine how Google can get away with something like this.

To be fair, Amazon has a way of eventually becoming a direct competitor of many of the companies they initially present themselves as a middle man for.

But they don't say you can't run such competing products on their cloud right.

Re: Google launches an end-to-end AI platform

#117

Post by camuel »

kerng wrote: post #110
amrrs wrote: post #40

Earlier quoted context omitted.

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 ?

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"?

Re: Google launches an end-to-end AI platform

#118

Post by bryanrasmussen »

zeroxfe wrote: post #49
jimrandomh wrote: post #43

Earlier quoted context omitted.

I have a hard time imagining who this wouldn't be a dealbreaker for. These terms also mean you can't use it for open source, and you can't use it if you don't know what the ultimate application is going to be. And you probably can't resell technology you create, because no one who buys it is going to want that restriction, either.

It's not a dealbreaker for in-house ML applications particularly in the enterprise (banks, telcos, etc.), which is a huge market for cloud providers.

But why would you choose this solution with those terms rather than something without those terms, even if it is an in-house application if significant investment is put towards it that is an asset that your enterprise now has and those terms are now in your enterprise poisoning it. Actually I can think of the large enterprises I've worked for and Legal would probably not have allowed those terms.

Re: Google launches an end-to-end AI platform

#119

Post by pplonski86 »

camuel wrote: post #117
kerng wrote: post #110

Earlier quoted context omitted.

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)

Re: Google launches an end-to-end AI platform

#120

Post by pplonski86 »

blihp wrote: post #76
pplonski86 wrote: post #21

Earlier quoted context omitted.

I'm running a startup which offers the same solution as Google AuotML Tables. Recently I decided to go open source. I will need to compare my solution with Google AutoML Tables (compare in terms of final model accuracy). But anyway I think many times the best model accuracy is not the most important in ML solutions. Any ideas what can I do with such a situation with my solution? Can I compete with Google?

Go vertical rather than horizontal with your solution. Google, and the other large players, need broad swaths of customers/users to get to a viable total addressable market at their scale. That is your advantage over them: you can survive and thrive in much smaller markets. Also, see ricklamers take in this thread ( https://news.ycombinator.com/user?id=ricklamers )... it's not the be-all, end-all and never will be. I…

The tool is primary value added but I would like to have wide adoption. It's my goal to see people using it. I hope I will make money on companies that would use the tool (will make money on additional features and support).
Post reply on HN