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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

AI transformation is a key theme at Microsoft Ignite 2023. To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. Continue reading to learn why this is important and what it means for Azure customers.

Azure 130
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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?

AWS 206
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Web Development Trends in 2023

KeyCDN

Here is a roundup of frontend web development trends to keep an eye on in 2023. Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications.

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Cloud observability delivers on business value

Dynatrace

According to data cited by McConnell, Amazon Web Services, Microsoft Azure, and Google Cloud Platform grew in the last quarter, ending in June [2023] and jointly delivered almost $50 billion. Hypermodal AI combines three forms of artificial intelligence: predictive AI, causal AI, and generative AI. Cloud modernization.

Cloud 219
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Modern observability is no longer optional on the path to digital transformation

Dynatrace

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. That’s why teams need a modern observability approach with artificial intelligence at its core. “We We start with data types—logs, metrics, traces, routes.

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Dynatrace launches DevSecOps partner integrations for context-aware adaptive automation

Dynatrace

Gartner® states that by 2023, “70% of organizations will use value stream management to improve flow in the DevOps pipeline, leading to faster delivery of customer value.”¹. The Dynatrace artificial intelligence engine, Davis , and our Cloud Automation module adaptively trigger these solutions during required steps in the SDLC.

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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. When teams combine these functions using the same rich source of data, the lines between various aspects of IT management begin to blur.