Remove Artificial Intelligence Remove Data Engineering Remove Programming
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What is IT automation?

Dynatrace

While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues.

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5 key areas for tech leaders to watch in 2020

O'Reilly

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. In programming, Python is preeminent.

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The death of Agile?

O'Reilly

Fetishizing pair programming. If you were involved with professional programming in the 80s and 90s, you may remember how radical it was (and, in many shops, still is) to put software developers in touch with users and customers. The most important is discovering how to work with data science and artificial intelligence projects.

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Educating a New Generation of Workers

O'Reilly

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. It’s less risky to hire adjunct professors with industry experience to fill teaching roles that have a vocational focus: mobile development, data engineering, and cloud computing.