Published: Sat, December 01, 2018
Health Care | By Terrence Lopez

How Amazon’s Cloud arm AWS is democratising Machine Learning for all

How Amazon’s Cloud arm AWS is democratising Machine Learning for all

It is said that the new platform is a brand aspect of Amazon Web Services, a cloud unit of Amazon.

Amazon, which is starting with its own hardware, will deliver and install Outposts at customers' facilities and then provide maintenance, fix the hardware and automatically update the software.

Amazon plans to use reinforcement learning for more serious tasks in the future.

The vehicle will soon be made available to developers attending AWS hackathons and is now available only in the US.

Shawn Bice, Vice President, Nonrelational Databases at AWS said, "Earlier this year, when we started talking to customers about what they needed from a blockchain solution, we realised that the Amazon QLDB's ledger technology met a lot of their requirements".

AWS Outposts initially will come in two flavors.

Amazon Web Services (AWS), a pioneer in cloud computing that has revolutionized entire economic sectors around the world, has entered the space and satellite market with the introduction of its Ground Station concept that is, in essence, a ground station as-a-service product for the global market. AWS Inferentia will support the TensorFlow, Apache MXNet, and PyTorch deep learning frameworks, as well as models that use the ONNX format.

Of course, heavily-regulated industries such as the financial industry are unable to hand over sensitive data for privacy reasons and more recent overarching regulations like GDPR have made public cloud even less viable for European enterprise.

Two years back, AWS struck a partnership VMware, and ever since the companies have tried to find ways to make this partnership more valuable to their customers.

The first is actually an external version of something Amazon had built internally to track data plane changes across its EC2 and S3 customer base.

"The culture at AWS is we don't build for optics, we want to understand the problem you are trying to solve".

And AWS announced a new product for building personalization features and recommendation systems for applications, a tool for training systems that use a trendy type of artificial intelligence called reinforcement learning and debuted a marketplace of AI algorithms.

AWS also showcased the increasingly influential role of AI in traditional vehicle races during the conference. "With greater connectivity to DigitalGlobe's high-resolution constellation and more downlink capacity, our collection planning teams can now optimize the interval from planning to image collection, downlink, and analysis - especially valuable when time matters", said Jeff Culwell, Chief Operations Officer, DigitalGlobe. This Close the Gap initiative is supported by AWS who co-hosted 30 young women of Girls in Tech, who otherwise might not be able to attend re:Invent 2018.

No data is stored on Amazon servers or used for training the machine learning and natural language processing models, the company said.

Customers using these new services and capabilities include Adobe, BMW, Cathay Pacific, Dow Jones, Expedia, Formula 1, GE Healthcare, HERE, Intuit, Johnson & Johnson, Kia Motors, Lionbridge, Major League Baseball, NASA JPL, Politico.eu, Ryanair, Shell, Tinder, United Nations, Vonage, the World Bank, and Zillow.

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