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What is AIOps? Everything you wanted to know

Dynatrace

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. They require extensive training, and real-user must spend valuable time filtering any false positives.

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Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. It works without having to identify training data, then training and honing. AIOps use cases.

DevOps 192
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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

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. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166
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Structural Evolutions in Data

O'Reilly

” That came to mind when a friend raised a point about emerging technology’s fractal nature. Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” I am wired to constantly ask “what’s next?”

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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. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. Amazon Lex.

AWS 165