A recurring theme in big data over the past two decades is the poor quality of data. No matter how much ink is spilled on the topic, organizations continually seem surprised that the data they want to ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

Precisely, a global leader in data integrity, is introducing new enhancements to the Precisely Data Integrity Suite, designed to further streamline and advance data quality across the ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, ...

Data mapping, transformation tools, data capture, data profiling, and data quality are essential components of data integration. Data governance, workforce training and certifications, and cloud ...

AI and data are feeding each other — build the right strategy and you’ll unlock smarter decisions, better agility and a real edge. In the rapidly evolving digital landscape, the symbiotic relationship ...

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.

Actian, the data division of HCLSoftware, announced it has been recognized as 'Exemplary' in the 2025 ISG Buyers Guide™ for Data Intelligence, earning Leader designations in Capability and ...

Collaboration enables insights from ConcertAI national database of 5.5M clinical records and Guardant profiling data across 60+ tumor types Longitudinal DNA methylation measurements and comprehensive ...

Shenzhen Tianyu Smart Technology Co., Ltd. applied for a patent titled "A Method for Constructing Customer Profiles Based on Big Data Collection" in July 2025. This patent aims to achieve closed-loop ...