AWS Launches Machine Learning Service to Mine Patient Data

Pearl Mccarthy
December 1, 2018

AWS RoboMaker uses cloud services to help developers to develop, test and deploy robotics applications, as well as build intelligent robotics functions.

With Outposts, customers can now put AWS into their own datacenters using the AWS hardware.

AWS Lake Formation then collects the data and moves it into a new Amazon S3 data lake, extracting technical metadata in the process to Catalogue and organise the data for easier discovery. Created to provide start-ups with free cloud resources and technical services, AWS Active help startups through select accelerators, incubators, Seed/VC Funds, and startup-enabling organizations.

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

The second product announced by Amazon was the AWS Managed Blockchain.

So for customers that know the number of members they want to access the ledger they tend to choose Hyperledger Fabric, and for those that don't know the number of members and want a more open blockchain platform they tend to choose Ethereum.

"Identifying this information today is a manual and time-consuming process, which either requires data entry by high-skilled medical experts, or teams of developers writing custom code and rules to try and extract the information automatically", Kass-Hout and Wood wrote.

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AWS Outposts are now in private preview. "There is a lot of excitement among Zocdoc engineers around how easy it is to quickly build and deploy a model using Amazon SageMaker", Zocdoc said in a statement.

"This is a technology that has been nearly completely out of reach to all but the most well-funded and -motivated organizations", the AWS AI programs leader Matt Wood said on November 28, when the DeepRacer was launched during the AWS re:Invent 2018 in Las Vegas, the United States. Along with this broad range of services and devices, customers are working alongside Amazon's expert data scientists in the AWS ML Lab to implement real-life use cases. Amazon SageMaker RL lets developers "build, train, and deploy with reinforcement learning through managed reinforcement learning algorithms", bundled with numerous common ingredients needed for a reinforcement learning stack. Adding a listing to the Marketplace is completely self-service for developers who want to sell through AWS Marketplace.

"Amazon QLDB is a new class of database that eliminates the need to engage in the complex development effort of building your own ledger-like applications. Our new offerings, VMware Cloud on AWS Outposts and VMware Cloud Foundation for EC2, further extend VMware's vision for consistent infrastructure and consistent operations from the data center to the cloud to the edge".

The new service helps healthcare professionals improve clinical decision support, streamline revenue cycle and clinical trials management, and better meet data privacy and HIPAA requirements.

The inaugural DRL event took place at this year's AWS re:Invent conference in accelerated form over a duration of 22 hours.

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

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