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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. According to the Thomson Reuters survey, nearly 40% of respondents say they are using generative AI*–to fuel buisness digital transformation.

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AIOps observability adoption ascends in healthcare

Dynatrace

exemplifies this trend, where cloud transformation and artificial intelligence are popular topics. Artificial Intelligence for IT and DevSecOps. This perfect storm of challenges has led to the accelerated adoption of artificial intelligence, including AIOps. Gartner introduced the concept of AIOps in 2016.

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Top Software testing trends to look out for in 2022

Testsigma

These technologies have started to pick up as trends in software testing and have the most potential of growing at a significant rate in 2022. Today, QAOps is projected to seep more into the software development life cycle and will play an important role in 2022. Let’s see these trends and why they are important this year.

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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. Here’s what we learned. Unified standard. Watch session now!

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

Dynatrace

A wave of generative AI solutions , including OpenAI’s ChatGPT, emerged in late 2022. Composite AI combines generative AI with other types of artificial intelligence to enable more advanced reasoning and to bring precision, context, and meaning to the outputs that generative AI produces. Technology prediction No.

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Real-Real-World Programming with ChatGPT

O'Reilly

The inspiration (and title) for it comes from Mike Loukides’ Radar article on Real World Programming with ChatGPT , which shares a similar spirit of digging into the potential and limits of AI tools for more realistic end-to-end programming tasks. using “22” for the year 2022). ChatGPT suggested two libraries for me: Moment.js

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Teaching Programming in the Age of ChatGPT

O'Reilly

Imagine for a minute that you’re a programming instructor who’s spent many hours making creative homework problems to introduce your students to the world of programming. The most common reason for wanting to resist AI tools was the concern that students wouldn’t learn the fundamentals of programming.