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AWS goes blockchain: The cloud giant announces two distributed ledger services

02 December, 2018, 12:29 | Author: Lydia Fleming
  • Amazon Unveils 'Immutable' Quantum Ledger Database Product

CEO Andy Jassy announced the launch of Amazon Quantum Ledger Database (QLDB) and Amazon Managed Blockchain according to Zdnet.

But AWS is now acknowledging that many companies want to stay on-premises.

"Even though the incremental progress each year is astounding, it's still pretty early for most companies in terms of knowing what they want to do with machine learning and having the people who know how to build machine learning models and train them, tune them and deploy them".

"We are not overspending on ML". For this, customers use blockchain frameworks like Ethereum and Hyperledger Fabric. "And then also the capabilities being there so that you can do it more easily", he explained.

"On-prem is more resilient than any cloud provider may have thought and AWS is the last to admit it", says Holger Mueller, prinicipal analyst at Constellation Research Inc. This is just the beginning of our journey, and we're eager to innovate using AWS in ways that were not possible with our on-premises infrastructure.

Users can program their DeepRacers themselves with their own reinforcement learning algorithms, training the auto using Amazon SageMaker, Amazon's artificial intelligence service.

About a year ago, AWS chief executive officer, discarded any form of interest in blockchain services.


AWS DeepRacer is an all-wheel drive with monster truck tyres, an HD video camera and onboard video camera that will operate through reinforcement learning models.

"This service is going to make it much easier for customers to use the two most popular blockchain frameworks", Jassy said, adding that mortgages, healthcare records, supply chain tracking and vehicle history records as common customer use cases.

Simulations similar to the races Amazon is proposing are common in academic circles studying how traffic management would work in an era of self-driving cars.

"By applying reinforcement learning techniques, we are able to reduce the size of our trained models while achieving the right balance between network compression and model accuracy", said Keith Bigelow, Senior Vice President of Edison Portfolio Strategy, GE Healthcare.

AWS unveiled several Amazon SageMaker features, including low-priced, automatic data labelling and reinforcement learning, and also announced a high-performance ML inference chip, AWS Inferentia, which was custom-designed by AWS and will be available in 2019. The new offerings include AI services for developers, models and algorithms for Amazon SageMaker, automatic data labeling and reinforcement learning services, and AWS-optimized versions of TensorFlow and other familiar machine learning libraries.

Findings are correlated into integrated dashboards that visualise and summarise a customer's current security and compliance status, and highlight trends and Amazon Elastic Compute Cloud (Amazon EC2) instances that are generating an increasing number of findings.

This is good news for the overall industry but not for specific cryptocurrencies.

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