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

Holy Scripture and the capital markets seldom intersect, but the struggle for high-quality data within the private markets is reminiscent of the proverb, “In the land of the blind, the one-eyed man is ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

Marketers suffer from a variety of negative consequences stemming from poor-quality data that collectively drains marketing resources and limits effectiveness. Wasted media spend is the most ...

When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...

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 ...

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 ...

Fab operations have wrestled with big data management issues for decades. Standards help, but only if sufficient attention to detail is taken during collection. Semiconductor wafer manufacturing ...

In this episode of Need to Know, our series covering the topics and issues influencing markets and the global conversation, Michael Beal, Co-Head of Enterprise Data Science at Bloomberg, discusses the ...