AI’s Achilles Heel: Data Quality
More business leaders and technologists are focusing on improving the data quality behind AI projects to promote more inclusive datasets to take bias out of AI …
Topic: Data management
Real-Time Data Trends Pushing for Democratization
Enabling real-time data democratization is no easy task philosophically, organizationally, or technologically.
Modernizing Interoperability: Key to Battling the Effects of Long COVID
Free and fluid data exchange has been vital to the fight against COVID-19, and it will remain vital because of Long COVID.
Maximizing the Value of Your Data Lake
Organizations are adopting modern data management approaches, such as semantic-based knowledge graphs, to connect data across the enterprise and accelerate the …
Data Engineers Spend Two Days Per Week Fixing Bad Data
Data engineers spend 40% of their workweek dealing with incidents relating to poor data quality, which may cost an organization 20% of its
Data Management in the Era of Data Intensity
To succeed in the digital services economy – and the era of data-intensive applications – you need to leverage fresh data to deliver engaging real-time …
Backend Data Integration Challenges in the Age of Cloud
Cloud is increasingly supporting faster and more comprehensive methods of data integration, including automated data pipelines, real-time data streaming, and …
Six Critical Costs of External Data Integration
External data integration is critical in giving your organization the leading edge in making business decisions
Create Control Without Constraint in Distributed Data Management
Most data stacks begin governance at the warehouse, but they don't know where that ELT data came from and what the context and source is. We need to fix
The Unstructured Data Management Maturity Index
As data management matures, unstructured data evolves from being a storage cost center to sitting at the epicenter of value