In this special guest feature, Anchita Magan from [x]cube DATA writes that the element of quality has to be considered in quantifiable data. Significance of Big Data The entire cosmos has been turned ...

Artificial Intelligence (AI) stands at a pivotal juncture, facing a critical decision: continue down the path of large-scale data accumulation with its inherent challenges, or embrace more focused, ...

Syncsort, a leader in Big Iron to Big Data software, unveiled Trillium DQ for Big Data, providing best-in-class data profiling and data quality capabilities in a single solution, designed to work ...

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 ...

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 ...

Data has taken a new position in the spotlight as the most important part of using AI. If the organization is using corrupt data, insights will vary wildly, and misinformation can damage the company’s ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Big data can help make Americans healthier, and the Trump Administration has stated—in its recently released Make America Healthy Again report and elsewhere—that building a national big-data platform ...

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.