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Generative AI poised to have impact by automating software development, report says

Dynatrace

According to recent research from TechTarget’s Enterprise Strategy Group (ESG), generative AI will change software development activities, from quality assurance to debugging to CI/CD pipeline configuration. On the whole, survey respondents view AI as a way to accelerate software development and to improve software quality.

Software 166
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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. Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind. Check out the resources below for more information.

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Responsible AI must-haves for unified observability and security

Dynatrace

Artificial intelligence is rapidly transforming the world around us, with applications based on AI emerging in virtually every industry and sector. It can be difficult to understand the basis of AI systems’ decisions, particularly when they are trained on large and complex data sets. AI system bias. Data in context.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly. Software development.

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What is IT automation?

Dynatrace

And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues. Creating a sound IT automation strategy.

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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. It works without having to identify training data, then training and honing. CloudOps: Applying AIOps to multicloud operations.

DevOps 192
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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. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Observability with AWS and beyond.

AWS 225