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AI meets operations

O'Reilly

Given source code and the training data, you could re-produce a model, but it almost certainly wouldn’t be the same because of randomization in the training process. Second, the behavior of AI systems changes over time. Models almost certainly react to incoming data; that’s their point. Upcoming events.

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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. Trends in software architecture, infrastructure, and operations.