Health systems are entering an era of intelligent data management where real-time validation, data quality scoring and robust ...

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 ...

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 ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

The concept of physician-hospital alignment, also referred to as integration, has captured the healthcare industry’s attention for nearly 25 years, since the earliest initiatives were launched in the ...

In the race to bring new biologics to market, development teams are constantly balancing speed, quality, and regulatory ...

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 ...

In the past decade, companies have spent billions on data infrastructure. Petabyte-scale warehouses. Real-time pipelines. Machine learning (ML) platforms. And yet — ask your operations lead why churn ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...