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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. Taking AIOps to the next level.

DevOps 192
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What is IT automation?

Dynatrace

While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues. AI that is based on machine learning needs to be trained. This requires significant data engineering efforts, as well as work to build machine-learning models.

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

All Things Distributed

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Fraud.net uses AWS to build and train machine learning models in detecting online payment fraud.

AWS 166
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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. These new offerings are organized on platforms or networks, and less so in processes.

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

All Things Distributed

automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. We are in the early days of machine learning and artificial intelligence. Summing it all up. As we say in Amazon, we are still in Day 1.

AWS 165