data quality

While publicly accessible training data is predicted to expire, there continues to be an abundance of untapped private data. Inside private data, the largest and best opportunity is—I feel—work data: work outputs of information...

tools like dbt make constructing SQL data pipelines easy and systematic. But even with the added structure and clearly defined data models, pipelines can still develop into complex, which makes debugging issues and...

of AI and data-driven projects, the importance of information and its quality have been recognized as critical to a project’s success. Some might even say that projects used to have a single point...

is an element of a series of articles on automating data cleansing for any tabular dataset: You'll be able to test the feature described in this text on your personal dataset using the CleanMyExcel.io...

Traditional quality assurance (QA) processes have long trusted manual testing and predefined test cases. While effective prior to now, these methods are sometimes slow, liable to human error, and result in development delays and...

Artificial Intelligence (AI) is increasingly becoming the muse of contemporary manufacturing with unprecedented efficiency and innovation. Imagine production lines that adjust themselves in real time, machinery that predicts its own maintenance needs, and systems...