91–100 of 132 posts
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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.
That's how my company would apply the platform to our work. My boss is there now, will be interesting to see what he find out vs what we're doing with our current IBM platform.
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…
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.
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 if your entire pipeline is already built into GCP and you're just tacking this on as a parallel path.
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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.
Whatever get your prototype going, get funding, build it on open source.
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 ?
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As an ex-Googler, that's not how you're supposed to operate at those companies. You find something you like to do, talk to the team, ensure the other team has open spots and would like to take you on, and move your shit from one desk to the other. Done. You're working on your specialization, if that's what you like to do. Discussing stuff with your manager is utterly pointless because your interests aren't really ali…
That might be how Valve works, but I’m quite sure it’s not how Apple / Facebook / Google do. Just move your shit to another desk and join whatever team you want with out talking to your manager or hr or updating your goals? Yeah... nah.
Then I also started working with one of the other teams I find interesting, and I now spend (more than) 20% of my time working with that team on various things.
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That might be how Valve works, but I’m quite sure it’s not how Apple / Facebook / Google do. Just move your shit to another desk and join whatever team you want with out talking to your manager or hr or updating your goals? Yeah... nah.
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…
Earlier quoted context omitted.
As an ex-Googler, that's not how you're supposed to operate at those companies. You find something you like to do, talk to the team, ensure the other team has open spots and would like to take you on, and move your shit from one desk to the other. Done. You're working on your specialization, if that's what you like to do. Discussing stuff with your manager is utterly pointless because your interests aren't really ali…
That might be how Valve works, but I’m quite sure it’s not how Apple / Facebook / Google do. Just move your shit to another desk and join whatever team you want with out talking to your manager or hr or updating your goals? Yeah... nah.
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.
Earlier quoted context omitted.
That might be how Valve works, but I’m quite sure it’s not how Apple / Facebook / Google do. Just move your shit to another desk and join whatever team you want with out talking to your manager or hr or updating your goals? Yeah... nah.
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.
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 job, just get up and walk off and drop your stuff on some other interesting teams table. Job done!
Don’t do that.
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…
I would say if you want to be a provider, be a provider, don’t treat your customers like potential enemies.