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Dynatrace Perform 2022: Themes to watch at Dynatrace’s annual conference

Dynatrace

At our virtual conference, Dynatrace Perform 2022 , the theme is “Empowering the game changers.”. In contrast, a modern observability platform uses artificial intelligence (AI) to gather information in real-time and automatically pinpoint root causes in context. DevOps and DevSecOps orchestration.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

At this year’s RSA conference, taking place in San Francisco from May 6-9, presenters will explore ideas such as redefining security in the age of AI. If you’re attending the conference, stop by the Dynatrace booth in South Expo space 561, and our Platinum Lounge in North Expo space 5157. Learn how security improves DevOps.

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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. Second, the conference will outline some of the critical risks in using generative AI. Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using What is artificial intelligence?

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

Dynatrace

These are the goals of AI observability and data observability, a key theme at Dynatrace Perform 2024 , the observability provider’s annual conference, which takes place in Las Vegas from January 29 to February 1, 2024. And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

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QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. By Rafal Gancarz

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5 key areas for tech leaders to watch in 2020

O'Reilly

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Coincidence?

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The death of Agile?

O'Reilly

The most important is discovering how to work with data science and artificial intelligence projects. This has to do with the concept of bounded context from Domain Driven Design.). The shift to cloud native design is transforming both software architecture and infrastructure and operations. Coincidence? Upcoming events.