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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. As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency.

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

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data. Learn how security improves DevOps. What is generative AI?

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The top eight DevSecOps trends in 2022

Dynatrace

Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).

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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. GPTs can also help quickly onboard team members to new development platforms and toolsets.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

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

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. Learn more here. What is AWS Lambda? What is AWS Lambda?

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Dynatrace expands Davis AI with Davis CoPilot, pioneering the first hypermodal AI platform for unified observability and security

Dynatrace

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. When a user asks a question, generative AIs create an answer word by word.