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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166
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Mastering Hybrid Cloud Strategy

Scalegrid

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component.

Strategy 130
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

Data lakes, meanwhile, are flexible environments that can store both structured and unstructured data in its raw, native form. This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Data management.

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The workplace of the future

All Things Distributed

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future. Science fiction author William Gibson said that nearly 20 years ago.

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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

We also have a great deal of machine learning technology that can benefit machine scientists and developers working outside Amazon. Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc.

AWS 165