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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

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Implementing service-level objectives to improve software quality

Dynatrace

Dynatrace provides a centralized approach for establishing, instrumenting, and implementing SLOs that uses full-stack observability , topology mapping, and AI-driven analytics. Use SLO data to communicate with stakeholders and drive better business decisions. Define SLOs for each service. Reliability.

Software 269
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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This opens up new analytics use case to e.g: test name, test step.

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What Is Hyperautomation?

O'Reilly

Donald Farmer’s Embedded Analytics is currently available in Early Release, and Lorien Pratt has a preview of The Decision Intelligence Handbook on her website. Without them, this article wouldn’t have been possible. All three have upcoming books from O’Reilly.

Games 116
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Data Mining Problems in Retail

Highly Scalable

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. RR10] Recommender Systems Handbook, F.

Retail 152