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

Dynatrace

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. But organizations also need to balance increasing AI adoption with the risks of runaway costs associated with increasing adoption.

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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. Many are uncomfortable with the idea that an artificial intelligence exists alongside human intelligence. For the past 20 years, thousands of software engineers at Amazon have been working on ML.

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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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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

There may be alarm systems. There have been cases of harassment, intimidation, and domestic abuse by people whose access should have been revoked: for example, an ex-partner turning off the heating system. This is why people have made a business out of setting up home stereo and video systems.

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