Agile Data Engineering Engineering Culture Software Development 
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.
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.
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.
Expert insights. Personalized for you.
135 
Let's personalize your content