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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. What’s more, in the McKinsey report “ The State of AI 2023 ,” 40% of respondents say their organizations will increase their overall AI investment because of advances in generative AI. What is artificial intelligence? Enter causal AI.

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Four observability trends IT leaders should have on the radar in 2023

Dynatrace

In light of this, here are my predictions for the most significant observability trends we’ll see shaping IT leaders’ agendas in 2023. Four observability trends for 2023. As organizations strive to do more with less and forge ahead through rising macroeconomic headwinds, automation will be critical in 2023.

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

As 2023 shifts into the rearview mirror, technology and business leaders are preparing their organizations for the upcoming year. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. Data indicates these technology trends have taken hold.

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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

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Modern observability is no longer optional on the path to digital transformation

Dynatrace

You have to get automation and analytical capabilities.” That’s why teams need a modern observability approach with artificial intelligence at its core. “We Throw in behavioral analytics, metadata, and real-user data. … We start with data types—logs, metrics, traces, routes. But it is also about process automation.

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

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. In 2023, organizations mostly used these services as a technology disruptor and capability enabler.

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Software Testing Trends 2021 – What can we expect?

Testsigma

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Hyperautomation. Autonomous Test Automation. billion in 2019 to $40.74