Clean Data is a crucial need to get an outcome from Machine Learning models. Often much time to the tune of 40% is spent on understanding and cleaning data before modeling and providing an outcome.

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

Vikram is the co-founder and CEO at Galileo, a category leader for ML data quality. Previously, he led product management at Google AI. Few topics get tossed around as objects of intrigue, excitement ...

Most organizations want to take advantage of AI. Better efficiency, fewer remedial tasks, undiscovered insights, yes—sign us up! While the opportunities and applications for AI are growing, an often ...

Data quality in healthcare can directly affect patient outcomes, physicians’ decision-making abilities and more. Unfortunately, there are many examples of data quality issues running rampant in ...