Managed Blockchain Service Introduced By Amazon Web Services

Managed Blockchain Service Introduced By Amazon Web Services

AWS also announced a machine learning university training and certification program with more than 30 self-service, self-paced digital courses for developers, data scientists, data platform engineers and business professionals.

"The significance here is that lots of applications and workloads are going to remain on premises for latency, legacy and security reasons, and Outposts will let customers more easily move between public and private clouds", Doyle said. Those two flavours are: run VMware Cloud on AWS, or run compute and storage on-premises using the same native AWS APIs used in the AWS cloud.

The new Outposts hardware will come with some of the most popular AWS computing offerings and storage software, while a separate option will package virtualization technology from VMware. Amazon's Comprehend Medical platform now has a new HIPAA-eligible machine learning technology which enables the developers to process unstructured medical text and find out about details like a diagnosis of the patient, treatments symptoms and more.

AWS customers can combine these capabilities to build exciting applications that might use image recognition to identify and protect endangered animals, machine learning to predict faulty construction or industrial systems, or analytics to estimate oil production or assess agriculture yields in real time.

Other announcements made in the presentation included a partnership with VMware to help the firm better capture the hybrid cloud market called AWS Outposts.

"Customers using Amazon SageMaker can use optimized algorithms offered in Amazon SageMaker, to run fully-managed MXNet, TensorFlow, PyTorch, and Chainer algorithms, or bring their own algorithms and models", Ray said.

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Amazon launches a pair of new blockchain services... "So, we tried to reimagine what customers really wanted when running in hybrid mode, and developed AWS Outposts".

The AWS Ground Station concept is created to address the cost issues of building, operating, and maintaining in-house ground stations as well as to disrupt current contracting models that lock-in users who do not own ground stations in long-term, expensive agreements. The public GA launch will be coming in the second half of 2019. Azure Stack was initially available on hardware from Dell EMC, HPE, and Lenovo.

"Often when a new vendor enters a segment, they don't know what they don't know and thus make assumptions that are not based in fact", he said. However, AWS has enough experienced people they have hired from IT companies that the risk of massive problems are dramatically reduced and issues likely will revolve around internal misreporting to cover up mistakes that should have been avoidable until business matures. Never invest more than you can afford to lose.

"We want to help all of our customers embrace machine learning, no matter their size, budget, experience, or skill level", said Swami Sivasubramanian, vice president, Amazon Machine Learning. Enterprises are risk-averse and are cautious about moving from vendors and structures they have had in place for years.

Some of the features of the new service include the ability to automatically scale up or down according to the requirement, enhanced transparency, and user-friendliness, among other things.

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