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

Dynatrace

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. Both machine learning and artificial intelligence offer similar benefits for IT operations. So, what is artificial intelligence?

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

Dynatrace

Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

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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. Achieving this precision requires another type of artificial intelligence: causal AI.

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What is AIOps? Everything you wanted to know

Dynatrace

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. They require extensive training, and real-user must spend valuable time filtering any false positives.

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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. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Having recently achieved AWS Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category for its use of the AWS platform, Dynatrace has demonstrated success building AI-powered solutions on AWS. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS.

AWS 219
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From AIOps tools to an AIOps platform: what it takes to automate AI operations

Dynatrace

To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. It takes times to train statistics-based machine learning solutions, and this approach doesn’t scale easily with modern, dynamic cloud-native environments.