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

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications. How can organizations use AI observability to optimize AI costs?

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How to balance development goals with security and privacy

O'Reilly Software

Practical advice for software engineers and security consultants. As a software security evaluator and a one-time engineer, I can confirm what the daily security breaches are telling us: software engineers and architects regularly fail at building in sufficient security and privacy.

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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

In the case of artificial intelligence (AI) and machine learning (ML), this is different. The management consultants at McKinsey expect that the global market for AI-based services, software and hardware will grow annually by 15-25% and reach a volume of around USD 130 billion in 2025. That is understandable.

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The State of DevOps Automation assessment: How automated are you?

Dynatrace

Automation thus contributes to accelerated productivity and innovation across the organization. Development & delivery automation: This section addresses the extent to which an organization automates processes within the software development lifecycle (SDLC), including deployment strategies, configuration approaches, and more.

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