Remove 2020 Remove Artificial Intelligence Remove Data Engineering
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5 key areas for tech leaders to watch in 2020

O'Reilly

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. The results for data-related topics are both predictable and—there’s no other way to put it—confusing. This follows a 3% drop in 2018.

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The death of Agile?

O'Reilly

The most important is discovering how to work with data science and artificial intelligence projects. Radar data points: Recent research and analysis. In “ 5 key areas for tech leaders to watch in 2020 ,” we examined search and usage data from the O’Reilly online learning platform.

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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.

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