DataRobot

SEPTEMBER 6, 2022

Everyone needs to work together to achieve value, from business intelligence experts, data scientists, and process modelers to machine learning engineers, software engineers, business analysts, and end users. See DataRobot AI Cloud in Action. Transparency Is Key In MLOps. Request a Demo.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 52

O'Reilly Media - Ideas

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. Software Development Layers. Software Architecture.

DevOps 143

DevOps Data Software Review Technical Advisors 143

Altexsoft

JULY 19, 2022

In between, there are data engineers managing the data infrastructure with ETL/ ELT processes and tools required to transform operational data into analytical ones. Each operational team hosts, transforms, and serves their data to consumers, using dedicated data engineers to help them out. It works like this.

Architecture 52

Architecture Data Analytics Data Engineering 52