Using AI to extend the range of data scientist
summary
Google announces concrete enterprise moves: 7,500 TensorFlow models in production, TPUs delivering best price/performance on ImageNet (DAWNBench), and AutoML that turns prebuilt vision and NLP models into specialized classifiers without hiring deep learning experts. Cloud tooling listed includes BigQuery, Dataflow, TensorFlow Hub, Colab notebooks and Video/Dialogue APIs. Case results include recommendation and visual-search pilots at companies like Spotify and eBay and emphasis on deploying pilots into live production to capture real value.
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chapters (6)
- 0:00Introduction
- 1:06Current state of AI
- 3:34Advice for AI adoption
- 6:23Google Cloud for AI
- 8:51Democratizing machine learning for developers
- 10:15Upcoming sessions
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