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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. A huge advantage of this approach is speed.

DevOps 201
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What is AIOps? Everything you wanted to know

Dynatrace

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” They require extensive training, and real-user must spend valuable time filtering any false positives. What is AIOps?

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What is IT automation?

Dynatrace

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. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation.

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How Our Paths Brought Us to Data and Netflix

The Netflix TechBlog

I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. A lot of my learning and training was self-guided until 2016, when a manager at my last company took a chance on me and helped me make the rare transfer from a role in HR to Data Science.

Analytics 223
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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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Python at Netflix

The Netflix TechBlog

We also use Python to detect sensitive data using Lanius. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines. These libraries are the primary way users interface programmatically with work in the Big Data platform.

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Expanding the Cloud: Introducing the AWS Asia Pacific (Seoul) Region

All Things Distributed

We believe that with the launch of the Seoul Region, AWS will enable many more enterprise customers in Korea to reduce the cost of their IT operations and innovate faster in critical new areas such as big data analysis, Internet of Things, and more.

AWS 110