Remove Code Remove Data Engineering Remove Processing 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

Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Specialisation could be around products, business process, or technologies. One way to create a Spotify model inspired engineering organisation is to organise long-lived squads by retail business process hubs - i.e. specialisation around business process. Let's take an example of retail as a domain of interest.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

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.

article thumbnail

The death of Agile?

O'Reilly

When a project is going off track because some requirement wasn’t understood properly, you need to fix that as soon as possible—not after a year-long development process. It’s not about getting software developers to write code faster. When processes change, who wins, who loses, and why?