Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...
AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey ...
After years of experimentation, AI adoption is at the forefront of enterprise strategies in 2025. According to a recent market study on Enterprise Data Transformation by the Intelligent Enterprise ...
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.
Unstructured data isn’t an asset by default — it’s a liability until CIOs govern, lifecycle and curate it for AI-ready value.
Alation Inc., the data intelligence company, is announcing the launch of its Agentic Platform—a solution that empowers data teams with AI-driven automation—and with it, three additional new ...
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 ...
Quest Software Inc., the former Dell Technologies Inc. business unit that’s focused on enterprise data management and security, today announced a major update to its popular erwin Data Intelligence ...
Artificial intelligence (AI) holds the promise of transforming industries and driving innovation. However, its success is deeply dependent on the availability of high-quality data. While improved data ...
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 ...
Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...