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Generative AI poised to have impact by automating software development, report says

Dynatrace

Many organizations are turning to generative artificial intelligence and automation to free developers from manual, mundane tasks to focus on more business-critical initiatives and innovation projects. These help teams with data augmentation, anomaly detection, simulation, and documentation, among other areas.

Software 168
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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. AI evolves basically around 2 stages of the learning process: 1. Artificial Narrow Intelligence. Almost all artificial machines built to date fall under this category.

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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. First, SREs must ensure teams recognize intellectual property (IP) rights on any code shared by and with GPTs and other generative AI, including copyrighted, trademarked, or patented content.

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AIOps automates DevSecOps workflows to enable self-healing IT

Dynatrace

As a result, many IT teams are turning to artificial intelligence for IT operations (AIOps) , which integrates AI into operations to automate systems across the development lifecycle. Automating AIOps with automatic and intelligent observability. Ansible sends an API to document self-healing IT activity in Dynatrace.

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Can You Trust AI Chatbots When Seeking Help With Databases?

Percona

Will 2023 be called the year of Generative Artificial Intelligence (AI)? This streamlined process reduces the risk of errors and simplifies the downgrade procedure. implemented improved data integrity checks during the downgrade process. In summary, the downgrade process in MongoDB 7.0 to previous versions.

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How to evaluate modern APM solutions

Dynatrace

These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions. Artificial intelligence for IT operations (AIOps) for applications. Real-time awareness in context.

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Fearing the Wrong Thing

O'Reilly

I did a very non-scientific study of the amount of time programmers actually spend writing code. OK, I just typed “How much of a software developer’s time is spent coding” into the search bar and looked at the top few articles, which gave percentages ranging from 10% to 40%. How much time and effort does that save?