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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

#121
post #46

This is where Google really has a big lead on AWS -- the AI space. AWS has AI tools, but Google's are better and easier to use. The big question is: If all your data sits in AWS, because your app that generates the data is there, do you reach across and try to use the Google AI tools, or are their tools compelling enough to get you to move your app and all your data to GCS?

What AI tools? SageMaker is awesome. What can Google do for me? All I've seen from them is marketing hype. I also haven't looked very hard.

Note: this is a real question with real curiosity. What are googles best AI tools?

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

#122
Google launches: 1500 HN entries https://hn.algolia.com/?query=google%20launches&sort=byPopul...

Google shuts: 700 HN entries: https://hn.algolia.com/?query=google%20shuts&sort=byPopulari...

(thought it would be funny to compare, it's not very scientific of course...)

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

#123
post #76

Earlier quoted context omitted.

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).

That's obviously your choice. Just be aware you're prioritizing (hopefully) getting more widespread adoption most likely at the cost of the business. The people likely to make money on it will be someone other than you. That's just the harsh reality of open source.

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

#124

Google launches: 1500 HN entries https://hn.algolia.com/?query=google%20launches&sort=byPopul... Google shuts: 700 HN entries: https://hn.algolia.com/?query=google%20shuts&sort=byPopulari... (thought it would be funny to compare, it's not very scientific of course...)

Using "" will be more correct? https://hn.algolia.com/?query=%22google%20shuts%22&sort=byPo... gives 71 results and that includes shutting down websites as well.

Disc: Googler.

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

#125

Earlier quoted context omitted.

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.

Which industry are you in? Would love to get your thoughts on the IBM platform.

Health care. If you're running on-prem, it does a good job of integrating Kubernetes where it's not something my data scientists have to worry about. Also fairly easy to tie in our data mart and all of our databases - MS, Oracle, DB2, MongoDB, etc.

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

#126

Earlier quoted context omitted.

Usually google is good in the initial release of a product, but they lack good customer care and support. They have non transparant pricings and they disrespect privacy. Those are something's you can differentiate on

> lack good customer care and support. Depends on how much you're paying them and the SOW you've signed. > non transparant pricings and they disrespect privacy. For pricing, talk with them. Or use a cloud broker.

> For pricing, talk with them.

You’re joking, right? Every other day there’s a top 10 article on HN about Google locking out a whole business customer with no humans to speak with.

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

#127
post #75

Earlier quoted context omitted.

I can understand cars but TVs?

Google Chromecast and any possible offering that could compete with a future Google TV.

The terms are already broad enough to cover any future Google product.

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

#128

Earlier quoted context omitted.

AutoML is essentially training a ML model using some heuristics or optimization algorithm to select model architecture and train a model. Feature engineering / feature synthesis as well as interpretability remain open challenges. If I'm understanding your questions correctly, the main problems I see with this are: - Using raw data instead of feature engineering (less of a problem given feature synthesis libraries lik…

Another common error I see is timing (e.g. using data from the "future" to predict an event). To build on your loan example, if you inadvertently included the current FICO score of an applicant that applied 12 months ago, it will be unfairly correlated with the loans current performance.

This is very important! If you use Featuretools, we provide a mechanism to avoid this very problem. See how we handle time in our documentation here: https://docs.featuretools.com/automated_feature_engineering/...

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

#129

Earlier quoted context omitted.

> lack good customer care and support. Depends on how much you're paying them and the SOW you've signed. > non transparant pricings and they disrespect privacy. For pricing, talk with them. Or use a cloud broker.

> For pricing, talk with them. You’re joking, right? Every other day there’s a top 10 article on HN about Google locking out a whole business customer with no humans to speak with.

Far from it. If you have an actual sow and contract with them, you can define your support terms and get better support than if you just sign up with a business account and avoid talking with salespeople.

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

#130
post #113
post #57

Earlier quoted context omitted.

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/

> Its worthwhile reminding consumers

This is HN. I'm not sure the readership here are the kind of consumers in need of this perpetual reminder.

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