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AI meets operations

O'Reilly

The creation and management of data pipelines isn’t something that operations groups are responsible for–though, despite the proliferation of new titles like “data engineer” and “data ops,” in the future I suspect these jobs will be subsumed into “operations.”. Upcoming events.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

The engineering organisation described may not work for you because of a team of 8-10 people is still a very big overhead. In this model, software architecture and code ownership is a reflection of the organisational model. Thirdly, let engineers themselves choose the delivery teams and organise them around the initiative.

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The death of Agile?

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. Key survey results: The C-suite is engaged with data quality.