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Google launches an end-to-end AI platform

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

#101

Post by wolco »

sodosopa wrote: post #81
CamperBob2 wrote: post #31

Earlier quoted context omitted.

This will make a bunch of startups' lives really hard... when Google gets bored with it and kills it just when a lot of startups have come to depend on it.

This makes Google money, Google Reader did not. That's why they will not be bored with AI for a decade or so.

It depends on how the market responds. While AI will be here in 10 years this product will be outdated long before that point looking ahead it almost begs to be shutdown and replaced with a newer version.

If you build your business on this platform your business must be willing to evolve with it.

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

#102

Post by tixocloud »

pplonski86 wrote: post #21
petard wrote: post #14

This will make a bunch of startup's life really hard. I think it makes it harder to justify investing in your own ML pipeline or even building your own models for many use cases.

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?

There’s plenty of room to compete with Google and it makes things easier when it comes to market education.

We’re also a startup in the ML space but solely focused on production deployment.

You’re right in that model accuracy is not the most important thing. There are many other considerations as to why a model should be used including training time, processing costs, value.

Furthermore, as someone mentioned earlier, Google’s service is horrendous and provides another angle to address. Their reputation as a company to be trusted with data is also somewhat shaky given all the privacy concerns.

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

#103

Post by tixocloud »

AndrewKemendo wrote: post #93

I'd be curious to know who has used one of these end to end "AI" services in production for a successful, market fitting product. From my experience doing this for a handful of companies, it's almost always better long term to use ML libraries that fit into the organizational architecture that exists, rather than outsource the whole ML pipeline. It's a serious amount of lock in to do that. Maybe it's a an easier sell…

Agreed with the long term benefits on fitting into existing architecture.

I did speak with someone in financial services who’s been all GCP and they are quite impressed by the way everything is integrated and how they do not have to shift data from storage to train.

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

#104

Post by m0zg »

NovaX wrote: post #97
m0zg wrote: post #85

Earlier quoted context omitted.

Well yeah, you have to tell your manager of course, but _they can't stop you_ from moving to another team. Don't know about Apple or Amazon but Google/FB are like that. If you're very senior, a few months (no more than 6 no matter how senior) delay might be imposed so that you hand off your stuff, if you're less senior, a few weeks is usually enough. It is also expected (at Google, don't know about FB) that you'll st…

There are many ways at Google to stop people from moving teams. For me it was a code yellow. I am hazy, but it was either referred to as indentured servitude or more politely stated as such by our senior director who expected 3 year stints. This was at MTV, probably a toxic environment due to CxO visibility.

Code yellow is by its very nature a finite-duration thing. I've never been a part of one that was longer than a month. It's reasonable to not allow transfers for the duration, if it helps to resolve the code yellow IMO.

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

#105

Post by m0zg »

wokwokwok wrote: post #99
jowday wrote: post #98

Earlier quoted context omitted.

Googler here. This is how it works. If you find a team with an open position you want to work on, and you and the teams hiring manager agrees it's a good fit, your manager can't do anything to stop it. I did something like this myself. I found the team I liked, talked to the team a bit about the work I'd be doing, and at my next one on one with my manager I told him I'd be leaving the team in two weeks.

There’s a difference between an orderly discussion leading to change of team/focus in a timely manner and just doing whatever you want whenever you want, which is the point I was making. You can certainly find yourself a better team fit and organise to move to it proactively, that’s true of any organisation , with greater or lesser degrees of red tape. ...but the parent assertion was basically, if you don’t like your…

Nah dear HN reader, don't move the goalposts now. That's not what I said at all. And it's not true of _any_ organization. It's actually _not_ true of most companies I worked for.

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

#106

Post by NovaX »

m0zg wrote: post #104
NovaX wrote: post #97

Earlier quoted context omitted.

There are many ways at Google to stop people from moving teams. For me it was a code yellow. I am hazy, but it was either referred to as indentured servitude or more politely stated as such by our senior director who expected 3 year stints. This was at MTV, probably a toxic environment due to CxO visibility.

Code yellow is by its very nature a finite-duration thing. I've never been a part of one that was longer than a month. It's reasonable to not allow transfers for the duration, if it helps to resolve the code yellow IMO.

We had 4-6 month cyclical code yellows. It's not unlike the game where 20% projects could only be within the same team without significant blowback. Things are only reasonable when used as designed, which is not how all of Google operates for everyone. You can talk in the general sense, but you cannot speak definitively especially when such actions are blessed by the executive team.

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

#107

Post by kkarakk »

crooked-v wrote: post #34

Neat. How long until they shut it down?

i'll do you one better - when will google's broken AI accidentally shut down YOUR infrastructure?

Remediation? That's a cost center that google has automated away

https://www.programmableweb.com/news/google-clouds-threat-to...

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

#108

Post by fsloth »

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.

Don't forget huge retail chains. Infinitesimal improvements in their operations can leverage, especially when compounded, sizable improvements to profit margins.

For instance, as GigaMart, if your ML system finds that you are going to need widget-x in region y two weeks ahead of time, you can plan for that including the logistics and inventory.

Hospitals? I'm sure there are lots of things in the day-to-day operations that correlate with patient outcomes that currently go unnoticed.

Etc etc. It's not about creating a huge new invention, mostly it's about creating improvements to operations of current incumbents.

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

#109

Post by kerng »

How is this different to Azure ML and Amazon's offerings?

I know Azure ML as has been out for 3+ years - so I assume they have many features and enterprise learnings baked in over the years.

Does anyone have good comparison?

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

#110

Post by kerng »

amrrs wrote: post #40
minimaxir wrote: post #3

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 pac…

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.
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