Remove Code Remove Conference Remove Data Engineering Remove Software Architecture
article thumbnail

AI meets operations

O'Reilly

First, the behavior of an AI application depends on a model , which is built from source code and training data. A model isn’t source code, and it isn’t data; it’s an artifact built from the two. This means that, to have a history of how an application was developed, you have to look at more than the source code.

article thumbnail

The death of Agile?

O'Reilly

It’s not about getting software developers to write code faster. Perhaps the appropriate yardstick for AI projects is the experiment itself, not the code committed to git.). Software architecture, infrastructure, and operations are each changing rapidly. Key survey results: The C-suite is engaged with data quality.

article thumbnail

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.