Amazon Launches Machine-Learning Based Platform For Healthcare

Kenny Tucker
December 1, 2018

Amazon Forecast creates accurate time-series forecasts.

"It's no secret that AWS wants to rule the IT world, and this is one more step in that direction", said Lee Doyle, principal analyst at Doyle Research.

Amazon SageMaker RL addresses the complexity of reinforcement learning, which uses an algorithm achieve a complex goal that learns from right and wrong decisions as it explores its environment, usually in a simulator. "I'm excited to personalize my vehicle further, and I look forward to exploring SageMaker RL and AWS DeepRacer more".

Amazon Comprehend Medical uses natural language processing to simplify the process of using machine learning to extract pertinent information from unstructured medical text, such as medical notes, prescriptions, interview transcripts, and pathology and radiology reports.

AWS said it will help developers get rolling with machine learning with AWS DeepRacer, a new 1/18th scale autonomous model race vehicle for developers, driven by reinforcement learning. To find out more about the DeepRacer League, visit https://aws.amazon.com/deepracer.

Amazon Personalize provides this experience to customers in a fully managed service, which will build, train, and deploy custom, private personalisation and recommendation models for virtually any use case. Ethereum, however, is not yet available for the development of the platform. The AWS offering will include a new integrated offering from VMware called VMware Cloud Foundation for EC2, which includes VMware technologies like NSX for network virtualization and AppDefense that can work across VMware and Amazon EC2 environments, according to officials.

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Amazon is the latest technology company to apply their machine-learning skills to create software that helps healthcare experts. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that National Australia Bank (NAB) has selected AWS as a long term strategic cloud provider, with a goal of migrating more than 300 applications, including some core banking systems, to AWS by the end of 2019.

The service provides customers with an append-only, fixed journal that tracks the history of all changes made to it.

Outposts should be of particular interest to customers that are looking to move to the cloud but who have certain applications that will need to remain on premise for the time being, such as low-latency applications on a factory floor, or those with data residency concerns.

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

Amazon's digital arm Amazon Web Services (AWS) revealed two new blockchain-inspired products despite the current cryptocurrency bear market.

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. These "ground stations" are basically outposts equipped with antennas and are essential to transmitting and receiving data from the thousands of satellites now orbiting our planet.

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