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The top four log analytics and log management best practices

Dynatrace

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. Use string comparisons wisely Take care to use operators that work optimally for what you’re looking for.

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Could intellectual debt derail your journey to the autonomous cloud?

Dynatrace

Since we began the series pointing out parallels to technical debt, let’s revisit that comparison. One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis.

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Dynatrace achieves AWS Machine Learning Competency as it continues to enable a new generation of automated enterprise cloud

Dynatrace

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. Dynatrace news.

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AIOps, observability and a side of Whisky

Dynatrace

Alois Reitbauer, VP Chief Technology Strategist at Dynatrace drew many comparisons between the process of crafting whisky and building out an effective observability model – quite the feat indeed! To do so, many IT teams will take advantage of what we refer to as Artificial Intelligence for IT Operations – more commonly known as AIOps.

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Can AI-Driven Test Automation Enhance Test Automation?

Testsigma

Testing continued to evolve, and it took advantage of technology innovations. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Artificial Intelligence (AI): A brief introduction. Test automation with AI: The need to embrace innovation.

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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

The power of Alexa in the hands of every developer, without having to know deep learning technologies like speech recognition, has the potential of sparking innovation in entirely new categories of products and services. We are in the early days of machine learning and artificial intelligence. Face recognition.

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