InfoQ Culture Methods

FEBRUARY 25, 2021

Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. By Jay Palat.

Machine Learning 128

Machine Learning Artificial Inteligence Agile Development 128

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 75

Data Engineering Engineering Data Big Data 75

InfoQ Culture Methods

JANUARY 7, 2022

This article presents how to use data science to detect wastes and impediments, and concepts and related information that help teams to figure out the root cause of impediments they struggle to get rid of.

Software Development 104

Software Development Data Software Trends 104

Datavail

APRIL 6, 2022

You can also take this opportunity to implement new methodologies such as DevOps and agile that help make your IT teams more productive and efficient. This could include changes to the database’s software, architecture, data schema, or security practices. Data security, too, can be a crucial business metric.

Azure 52

Azure Metrics Test-Driven Development Applications 52

d2iq

AUGUST 17, 2020

For example, teams will be building one stack on cloud provider “A,” a different stack on cloud provider “B,” and a third stack at the edge or in a data center. Empowering Both Developers and Operators When adopting Kubernetes and other cloud native services, it’s important to think about how they’ll impact the engineering culture.

Organization 72

Organization Government eBook Engineering Culture 72

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 126

Testing Engineering Software Artificial Inteligence 126

InfoQ Culture Methods

FEBRUARY 16, 2023

Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers itself. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.

Artificial Inteligence 100

Artificial Inteligence Machine Learning System Testing 100