Scaling Machine Learning on Industrial Time Series with Cloud Bigtable and AutoML (Cloud Next '18)
7 428
21.2
Google Cloud Platform1.17 млн
Опубликовано 27 июля 2018, 0:48
The saying goes that machine learning is about data and algorithms, but mostly data. In a real-world industrial setting, this data is usually messy, error-laden, and inconsistent. This session will present how Cognite is using a wide range of tools in Google Cloud Platform, including Cloud Bigtable, Cloud PubSub, Cloud SQL and AutoML, to address the key pain points in a scalable machine learning workflow:
- Live data preparation and aggregation.
- Data contextualization at scale.
- Implementation and operationalization of models.
IO223
Event schedule → g.co/next18
Watch more Infrastructure & Operations sessions here → bit.ly/2uEykpQ
Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - AI and Machine Learning - AutoML; fullname: Carter Page;
- Live data preparation and aggregation.
- Data contextualization at scale.
- Implementation and operationalization of models.
IO223
Event schedule → g.co/next18
Watch more Infrastructure & Operations sessions here → bit.ly/2uEykpQ
Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - AI and Machine Learning - AutoML; fullname: Carter Page;
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