AI needs fuel - why high-quality third-party data is key to smarter, real-time personalization.

Some economists are beginning to question the accuracy of recent U.S. inflation data after the federal government said staffing shortages hampered its ability to conduct a massive monthly survey.

In February 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of the Republic of Zimbabwe against the IMF’s Data Quality Assessment Framework (DQAF) ...

However, not all data is created equal. Poor-quality information can distort strategic direction and lead to significant consequences. The principle of “garbage in, garbage out” underscores ...

Latest OAG Report: High-Quality Data and AI Transformation Are Critical to Building Resilience Across Airline Operations OAG, the global leader in aviation data and analytics, is proud to release ...

Data structuring techniques vary based on the type and purpose of the data. For example, relational databases store data in tables with rows and columns, making them ideal for structured data.

Learn step-by-step techniques for preparing data and fine-tuning large language models to achieve exceptional performance.

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company's xLake ...

How Dun & Bradstreet solves for data quality, consistency and privacy in today’s evolving marketing world.

As they address data-management challenges while shoring up student retention and boosting enrollment, they need clear, well-organized data to avoid “garbage in, garbage out,” in which poor quality ...

This report discusses the findings and recommendations of the 2024 assessment of the data quality of the public sector debt statistics (PSDS) of the Republic of Zambia against the IMF’s Data Quality ...