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

Dynatrace

In this article, we explore recent survey data from Enterprise Strategy Group (ESG), sponsored by Dynatrace, on how organizations approach IT automation, as well as the benefits and challenges they encounter as they adopt it. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

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The Department of Veterans Affairs’ journey to modernization

Dynatrace

Digital modernization is a necessary piece of the successful strategy of VA, and according to Dave Catanoso, Director of Enterprise Cloud Solutions Office (ECSO) at VA, the cloud is one of the catalysts to help accomplish that objective. It comes down to getting the best value out of your systems as well as your people,” Hicks says.

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Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. A huge advantage of this approach is speed. It works without having to identify training data, then training and honing.

DevOps 205
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How architecture evolves into strategy

O'Reilly Software

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I'm offering an overview of my perspective on the field, which I hope is a unique and interesting take on it, in order to provide context for the work at hand: devising a winning technology strategy for your business.

Strategy 100
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What is artificial intelligence? See how it differs from machine learning in IT ops

Dynatrace

Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. Supervised learning uses already-labeled data to train algorithms for specific outputs. There are two broad types of machine learning: supervised and unsupervised.

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What Is a Workload in Cloud Computing

Scalegrid

With extensive computational resources at their disposal alongside massive pools of information, developers can utilize these powerful tools to train ML models efficiently or run AI algorithms effectively by accessing stored datasets from anywhere through the internet connection provided by most reputable providers’ hosting services.

Cloud 130
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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts.

DevOps 194