Agile Data Labeling with Machine Learning

Data and AI have never been more essential to businesses of all sizes, across every industry around the world. To become truly data-driven, organizations need to provide decision-makers with labeled data that’s relevant to their analyses. In order to deliver impactful ML applications, organizations need to be able to efficiently create training data.

The growing frustration among data scientists is driving the need for the Agile Manifesto of Data Labeling.

A successful Agile Manifesto of Data Labeling should begin with the same principle of reactivity. Successful preparation of training data involves cooperation, feedback, and discipline.