With eyes, ears, and a fairly powerful brain that are all located out in the field and close to the action, it can run incoming video and audio through on-board deep learning models quickly and with low latency, making use of the cloud for more compute-intensive higher-level processing,” Barr added.
The releases come a year after AWS came ‘out swinging' at last year’s Re:Invent with AI services Polly, Lex and Rekognition.
AWS launched Amazon Rekognition Video this week, a “deep learning powered video analysis service that tracks people, detects activities, and recognises objects, celebrities, and inappropriate content” the company said.
Rekognition Video can be applied to stored video and live streams.
AWS’ ANZ managing director Paul Migliorini said there was an appetite among Australian organisations to try their hand at machine learning.
“More or less every customer today is talking to us about machine learning. It’s happening in every single sector. The conversations we’ve been having are around: How do I make this accessible? How do I experiment with it?” he said.
“Our customers are the ones with the context. They know what they want to run. So SageMaker makes it more accessible to more organisations. Customers can take [the suite of AI services] as building blocks and experiment with it.”
The author travelled to AWS Re:Invent 2017 in Las Vegas as a guest of Amazon Web Services.
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