On September 11, at the 2025 Bund Conference, Wang Xingxing, founder of Yushu Technology, stated that both data and model architecture are equally important. However, there is still a lack of clear ...

To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

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.

Technological advancements in life sciences have not been paralleled by data management infrastructure, causing inefficiencies in data utilization and decision-making. Agentic AI offers transformative ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

We rate Uber drivers, restaurants, Amazon delivery, and much more, but when it comes to our own health experience, we often have little to no data. That’s especially scary because the business model ...

The Personal Information Protection Commission announced on the 22nd that the national task of "Establishing a Personal ...

Get the latest federal technology news delivered to your inbox. Positioning high-quality data as the foundation of the Department of Defense’s work to scale artificial intelligence technologies across ...

Accountable care organizations (ACOs) in the Medicare Shared Savings Program achieved the highest rates of shared savings since the inception of the program, CMS has announced.

The School District of Philadelphia released details about building conditions and enrollment stats, but calculations behind ...