The center-left think tank Third Way is urging Democrats to make data privacy a priority amid a separate effort by ...

Abstract: This work-in-progress (WIP) research-to-practice paper describes a work in progress by the authors to integrate appreciation of privacy, ethics, regulatory compliance, and research into ...

Render Networks CEO Stephen Rose explains how AI in fiber construction eliminates rework and builds the foundation for true ...

Don Cowan and Mahyar Mohammadnezhad of Kiwa PI Berlin explain the importance of upstream diligence in ensuring long-term PV ...

Advances in technology offer many ways to improve efficiency and reduce costs without impacting quality through automated inspection tools. The full potential of these tools cannot be fully leveraged ...

ZHONGSHAN, GUANGDONG, CHINA, December 31, 2025 /EINPresswire.com/ — What separates a Leading PVC Film Manufacturer from countless competitors in the global functional polymer materials market? For ...

Poor data quality is quietly undermining scientific progress, business strategy, government oversight, and the reliability of artificial intelligence systems, warns a narrative review published in ...

The Data Assurance and Reporting Officer supports and enhances data management processes, and develops and maintains data visualization tools within the métier to enable evidence-based decisions and ...

This statement has never been more relevant. AI systems now power decisions, affecting credit approvals, medical diagnoses, fraud detection, and countless other critical areas. Yet without ...

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.

IT system upgrades and generative AI adoption have gone hand in hand across the financial sector, as banks look to ease internal operations and smooth customer interactions. Citi’s modernization push ...

The advent of artificial intelligence (AI) and data-driven methodologies has triggered a wave of transformation in regulatory compliance and quality assurance for the development of medical devices.