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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. Today, with greater focus on DevOps and developer observability, engineers spend 70%-75% of their time writing code and increasing product innovation.

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

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Preparing for AI

O'Reilly

Submit a proposal for a talk at our new virtual conference, Coding with AI: The End of Software Development as We Know It.Proposals must be submitted by March 5; the conference will take place April 24, 2025, from 11AM to 3PM EDT. When tools like GitHub Copilot first appeared, it was received wisdom that AI would make programming easier.

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Programming, Fluency, and AI

O'Reilly

Making it easier to learn programming and begin a productive career is nothing to complain about, either. There is such a thing as fluency with a programming language, just as there is with human language. I see the same problem in programming. If you want to write a program, you have to know what you want to do.

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OpenTelemetry enables automated operations management at scale

Dynatrace

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. This is when the API library is referenced from the application code. Unified standard.

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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. Like reading, some people learn how to code with little training, and others don’t.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. These include application programming interfaces, streaming, and more. Unlike data warehouses, however, data is not transformed before landing in storage.