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Why business digital transformation is still a key C-level priority today

Dynatrace

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. For one Dynatrace customer, a hardware and software provider, introducing automation into DevOps processes was a game-changer.

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How Application of Artificial Intelligence is Transforming Business

Testsigma

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. The machines are programmed in such a way that they think like humans and can imitate our actions. Almost all artificial machines built to date fall under this category.

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Rethinking programming

O'Reilly

The programming world will increasingly be split between highly trained professionals and people who don’t have a deep background but have a lot of experience building things. We need to think about how programming is taught. And don’t discount the role gaming could play. We need new, more sophisticated programming tools.

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Quality Assurance, Errors, and AI

O'Reilly

Integration tests (tests of multiple modules) and acceptance tests (tests of entire systems) are more difficult. An AI might be able to read and interpret a specification (particularly if the specification was written in a machine-readable format—though that would be another form of programming). Programming culture is another problem.

Games 77
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Dynatrace achieves AWS Machine Learning Competency as it continues to enable a new generation of automated enterprise cloud

Dynatrace

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Dynatrace news. Other vendors have AI?

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Copyright, AI, and Provenance

O'Reilly

What should copyright law mean in the age of artificial intelligence? Is it possible to distinguish between creative output (“Write in the style of Jesmyn Ward”) and actionable output (“Write a program that converts between current prices of currencies and altcoins”)? How do we make sense of this?

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Can Language Models Replace Compilers?

O'Reilly

Specifically, could ChatGPT N (for large N) quit the game of generating code in a high-level language like Python, and produce executable machine code directly, like compilers do today? To people who programmed using circuit diagrams and switches, these early languages looked as radical as programming with generative AI looks today.