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The State of DevOps Automation assessment: How automated are you?

Dynatrace

By contrast, the quantitative questions include: What proportion of time do software engineering and development teams spend writing automation scripts? Intelligent: To reach the intelligent level, automation must be wholly reliable, sophisticated, and ingrained within organizational culture.

DevOps 191
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. What is explainable AI?

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Many are uncomfortable with the idea that an artificial intelligence exists alongside human intelligence. For the past 20 years, thousands of software engineers at Amazon have been working on ML.

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Upcoming of the learned data structures

Abhishek Tiwari

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure. Bigger picture.