If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

For AI to become mainstream, it will need to move beyond small scale experiments run by data scientists ad hoc. The complexity of technologies used for data-driven machine and deep learning means that ...

For most professional software developers, using application lifecycle management (ALM) is a given. Data scientists, many of whom do not have a software development background, often have not used ...