Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...

AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey ...

There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...