The goal of data governance is to ensure your organization’s data is business-ready: high-quality, accessible, secure, and ...

Unified metadata models are key in data management, ensuring data accessibility, security and value creation across diverse organizational environments.

Rajesh Sura is a distinguished data and AI leader with 15+ years of experience driving enterprise-scale data platforms, ...

GenAI is transforming industries, but as it evolves, it requires a robust governance, risk and compliance strategy.

Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data ...

This article explores the critical role of data governance in ensuring the accuracy, compliance, and integrity of data throughout AI model development and deployment.

As global banking institutions accelerate their digital transformation, leaders in artificial intelligence and machine ...

No matter how sophisticated the AI model, its power depends on the quality, structure and context of the data beneath it.

In the process, PZU and SAS experts defined policies for the entire lifecycle of all the insurer's AI/ML models to ensure adequate data quality, optimal resource use and continuous monitoring.