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

Dynatrace

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. Combining causal AI and generative AI will eventually give rise to the next phase of GPT-powered innovation.

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Dynatrace Amplify Partner Sales Kickoff 2023: Observability Unleashed

Dynatrace

While last year was deemed “The Year of Innovation” for launching Grail , our causal data lakehouse with massively parallel processing (MPP), along with AppEngine , AutomationEngine , Notebooks , and more, 2023 is about extending these innovations to more customers through our partners. Just a few of these are outlined below.

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Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. The idea was inspired by an innovation day project of our lab in Klagenfurt. There are many use cases for using this API.

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The top eight DevSecOps trends in 2022

Dynatrace

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. That can be difficult when the business climate can prioritize speed. By analyzing data on activity in real-time, teams can unlock the insights developers need to accelerate innovation. Dynatrace news.

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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Generative AI: A type of AI that uses an algorithm trained on large amounts of data collected from diverse sources to generate various types of content, including text, images, audio, and synthetic data.

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Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Dynatrace

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

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Applying real-world AIOps use cases to your operations

Dynatrace

Teams can address testing and deployment issues automatically, which streamlines continuous integration and continuous delivery pipelines and increases innovation throughput. A huge advantage of this approach is speed. It works without having to identify training data, then training and honing.

DevOps 202