We rate Uber drivers, restaurants, Amazon delivery, and much more, but when it comes to our own health experience, we often have little to no data. That’s especially scary because the business model ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Everyone understands data is important, but many business leaders don’t realize how impactful data quality can be on day-to-day operations. In my experience, nearly all process breakdowns have root ...

Data quality is a central component of any successful modern data strategy. It powers everything, from business insights and product experiences to customer service and more. With GenAI on the horizon ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

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 ...

Quality data is critical to informing public health actions. | The time has come for CMS to implement performance measures—or quantitative metrics—for public health and clinical data exchange, writes ...

What makes a good public school—and how would we know it? While these questions may appear simple to answer—given all the publicly available data and the growing number of online school-rating ...

AI is changing the digital landscape as we know it. An industry that used to run on Google’s 10 blue links is now rapidly transitioning to digital experiences based on personalized prompts and direct ...

How to replace vanity productivity metrics with a finance-ready AI measurement model tied to growth, advantage, and scale.