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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

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Data Engineers of Netflix?—?Interview with Samuel Setegne

The Netflix TechBlog

His favorite TV shows: Bojack Horseman , Marco Polo , and The Witcher His favorite movies: Scarface, I Am Legend and The Old Guard Sam, what drew you to data engineering? Many healthcare practitioners had strong hunches and wild theories that were exciting to test against an empirical study. You’re in the right place!

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

All Things Distributed

Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. In addition, Change Healthcare. Seamless ingestion of large volumes of sensed data. Advanced problem solving that connects big data with machine learning. The platform to revolutionize.

AWS 90
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Dutch Enterprises and The Cloud

All Things Distributed

Shell leverages AWS for big data analytics to help achieve these goals. By offloading the task of managing infrastructure to AWS Essent is able to spend more time on innovating on behalf of their customers to help them in their energy usage.

Cloud 130
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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. Like all AI applications, whether in manufacturing, healthcare, finance, or other industries, AIOps is not about reducing the human factor’s importance.

DevOps 198