AWS Outposts: Are 'hybrid clouds' best for SMEs?

01 December, 2018, 15:13 | Author: Cecil Davis
  • AWS goes deep and wide with machine learning services and capabilities

AWS had already announced some new updates to its cloud machine learning (ML) services, Amazon Polly, Amazon Translate and Amazon Transcribe.

Outposts can be upgraded with the latest hardware and next-generation instances to run all native AWS and VMware applications, AWS stated. "I think that virtually every application over time will be using these machine learning services".

Shawn Bice, Vice President, Nonrelational Databases at AWS said, "Earlier this year, when we started talking to customers about what they needed from a blockchain solution, we realised that the Amazon QLDB's ledger technology met a lot of their requirements".

AWS Security Hub is a central place to manage security and compliance across an AWS environment so that customers can quickly see their AWS security and compliance state in one comprehensive view.

Amazon Web Services (AWS), a pioneer in cloud computing that has revolutionized entire economic sectors around the world, has entered the space and satellite market with the introduction of its Ground Station concept that is, in essence, a ground station as-a-service product for the global market.

Amazon Forecast is a service that generates forecasts from time series data.

‘Waterboarding’ of young Syrian refugee triggers huge wave of support for victim
After the video went viral, a crowdfunding page was set up for the victim, and around £50,000 in donations was collected in a day. The incident, which is believed to have occurred on 25 October, was shared thousands of times last night after footage surfaced.

On Monday, AWS launched Graviton processors for data centers to help customers manage costs with scale-out workloads.

It seems that the large cloud providers and the software companies that run large data centers are responding to the reality check they've received from the enterprise-class companies whose decisions are based on the overall business implications of migrating to platforms. Using historical data and related causal data, Amazon Forecast will automatically train, tune, and deploy custom, private machine learning forecasting models, so that customers can be more confident that they'll provide the right customer experience while optimising their spend. 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.

Amazon reached a new milestone on Wednesday when it unveiled DeepRacer, a self-driving race vehicle that runs on artificial intelligence (AI), and launched a racing league that would pit the owners of the auto against each other. "With QLDB, your data's change history is immutable - it cannot be altered or deleted - and using cryptography, you can easily verify that there have been no unintended modifications to your application's data". They can also process their data using AWS services, like for analytics, storage, processing, and streaming.

Through the new natural language processing service, Amazon is taking a crack at solving a problem that has long burdened healthcare: how to mine actionable insights from messy, inconsistent information, the most common form of patient data. Those who know how much capacity they will need well in advance can book ahead and pay less for downlink time.

The writer attended AWS re:Invent as a guest of the company. Amazon Personalize can make recommendations, personalise search results, and segment customers for direct and personalised marketing through email or push notifications.

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