Amazon Makes a Major Move into Content Analytics

By Jim Lundy

(Aragon Research) – At AWS re:Invent 2017, Amazon’s event last week in Las Vegas, it announced new capabilities that will make it more of a serious player in AI-based Cloud Computing. Even more importantly, Amazon has clearly bet on Content Analytics and is pushing the envelope in Video and Voice Analytics—two major tenants of the overall Intelligent Content Analytics Market, as defined by Aragon (note, Amazon announced many new Cloud Services tied to AWS, which we will cover separately).

Amazon Campus 1 in Seattle, Washington. Photo via Amazon.

To clarify, Amazon Rekognition is not new—it is a deep learning service that is focused on Image and Video Analytics. To do this however, most of the processing needs to be done on images and videos stored in Amazon AWS. The key news:

The new Amazon DeepLens Video Camera.

Amazon DeepLens is Deep Learning and Video Combined

All of this combined with the new Amazon DeepLens Video Camera means that our concept of Robotic Telepresence that we defined in 2013 is coming to life. Deep Lense is focused on developers and it interacts with Rekognition algorithms. Amazon hopes that developers will choose its service, not the Google Clips Camera to develop new applications using AWS Greengrass and AWS Lambda services.

Clips vs. DeepLens

The new Google Clips Camera.

If there is any doubt that Video Analytics is going mainstream, one only has to look at Google and Amazon, both in a race to ship their cameras. For the Amazon DeepLens, one of the things that is sure to please developers is that the camera is already pre-trained to do facial recognition.

The Google Clips offering, which is also still in preview mode, looks more ready for consumer use and it also has built-in facial recognition. We think that both of these prototype cameras represent the first generation. The moves from Google and Amazon will be the first of many efforts to leverage real-time Video Analytics.

There is no doubt that Video Analytics will be a boon to the enterprise. The possibilities are limitless when we look at how Video Analytics and overall Content Analytics can be put to use.