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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. ML + AI are up, but passions have cooled. Security is surging.

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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. Development timelines for these projects aren’t as predictable as traditional software; they stretch the meaning of “testing” in strange ways; they aren’t deterministic. They’d simply be what we do.