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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. Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. AI-enabled chatbots can help service teams triage customer issues more efficiently.

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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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Upcoming of the learned data structures

Abhishek Tiwari

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. This has far-reaching implications how future data systems and algorithms will be designed. Data structures are very foundational for the computer science and software engineering.

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Communal Computing’s Many Problems

O'Reilly

You will find that the paradigms you choose for other parties won’t align with the expectations for children, and modifying your software to accommodate children is difficult or impossible. There may be alarm systems. This is why people have made a business out of setting up home stereo and video systems.

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