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What is behavior analytics?

Dynatrace

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. In doing so, organizations are maximizing the strategic value of their customer data and gaining a competitive advantage.

Analytics 219
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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

And it covers more than just applications, application programming interfaces, and microservices. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? Software is behind most of our human and business interactions.

Software 177
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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team. What drew you to Netflix?

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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

BCLC is a government ministry corporation that provides lottery, casino, and sports betting services to benefit the province’s healthcare, education, and community programs. Business Insights is a managed offering built on top of Dynatrace’s digital experience and business analytics tools.

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What is IT automation?

Dynatrace

Developing automation takes time. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation.

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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 176
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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. & Wenjing Z.]

Analytics 207