Remove Data Engineering Remove Innovation Remove Performance Remove Software Architecture
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AI meets operations

O'Reilly

And that’s essential: if you need to understand how your model behaves, and you don’t have the training data, you’re sunk. The same is true for the models themselves; if you don’t have the artifacts you produced, you won’t be able to make statements about how they performed.

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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.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

For instance, if you are fast-growing VC funded e-commerce startup and your number one business priority is multiplying current growth and performing exceptionally well on key financial metrics charted out by your investors. In this model, software architecture and code ownership is a reflection of the organisational model.