Amazon Web Services reveals a managed Kafka service for streaming data

Amazon Web Services reveals a managed Kafka service for streaming data

Amazon AWS has announced Amazon Comprehend Medical to leverage the power of its new HIPAA-eligible Machine Learning expertise to perform medical language processing on unstructured medical text to identify information such as patient diagnosis, treatments, dosages, symptoms and signs, and more.

In his keynote, Jassy said none of the hybrid options now available provide a truly consistent hybrid experience.

The company has announced at their re-invent cloud conference in Las Vegas. At the middle layer of the stack, organizations that want to use machine learning in an expansive way can leverage Amazon SageMaker, a fully managed service that removes the heavy lifting, complexity, and guesswork from each step of the machine learning process, empowering everyday developers and scientists to successfully use machine learning.

Unlike existing blockchain technologies that require custom development to extract blockchain network activity data, Amazon Managed Blockchain makes it easy to replicate transactions to Amazon QLDB.

AWS is by far the leader in the public cloud infrastructure services, which companies can rely remotely upon run the software and store the data. Others may have certain workloads that need to be on-premises, especially latency sensitive workloads. 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.

How the machine learning service will fit in with Amazon's other healthcare endeavors remains to be seen, but there is little question that the company is gunning for a level of insight into personal health that will place it head and shoulders above any other competitors.

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Amazon CTO Werner Vogels speaks at Amazon Web Services re:Invent 2018.

AWS Outposts are now in private preview.

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

The AWS native variant of AWS Outposts satisfies customers who prefer the same APIs and control panel that they are used to in AWS' cloud, but now on-premises.

In both cases, AWS will deliver the racks to customers, install them (if customers prefer), and handle all maintenance and replacement of racks. "There just isn't a lot of value in that type of on-premises offering and that's why these solutions aren't getting much traction", said Andy Jassy, CEO of AWS. "AWS understands our requirements for operating securely in the cloud, and worked with us to establish a training program that prepares our workforce with the necessary skills to enable our path to the cloud". Dubbed VMware Cloud on AWS Outposts, customers will be able to run the entire VMware software-defined data center (SDDC)-including compute, storage and networking infrastructure-on-premises. "So, we tried to reimagine what customers really wanted when running in hybrid mode, and developed AWS Outposts".

A second version VMware Cloud on AWS Outposts lets customers use the a VMware control plane and APIs to run the hybrid environment.

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