Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

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 ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

How to address poor internal and external data quality for your business Your email has been sent Between responding to supply chain disruptions, pivoting in the economic slowdown, reacting to ...

AI data platform iMerit believes the next step toward integrating AI tools at the enterprise level is not more data, but better data. And better data doesn’t come from hordes of gig workers, but from ...

Multiple administrative, survey, and assessment data sources exist to measure health care use, expenditures, and outcomes among people who are dually eligible for Medicare and Medicaid (dual eligibles ...

But some Republican legislators have proposed making the ACS a voluntary survey, citing concerns about privacy and government overreach. Data experts say that a voluntary survey will ...