Remove Artificial Intelligence Remove Code Remove Data Engineering Remove Software Architecture
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The death of Agile?

O'Reilly

It’s not about getting software developers to write code faster. The most important is discovering how to work with data science and artificial intelligence projects. Perhaps the appropriate yardstick for AI projects is the experiment itself, not the code committed to git.). Can Agile work for large teams?

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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. Software architecture, infrastructure, and operations are each changing rapidly. In aggregate, data engineering usage declined 8% in 2019.