Data Quality Management
Imagine a world where artificial intelligence shapes every decision, from financial approvals to healthcare diagnostics, yet operates without clear ethical boundaries. This scenario is becoming a reality as AI permeates industries, prompting the European Union to introduce the groundbreaking EU AI Act. This pioneering legislation seeks to regulate
Imagine a world where artificial intelligence (AI) drives innovation at an unprecedented pace, transforming industries from healthcare to finance, yet simultaneously exposes organizations to significant risks if not managed with care. As AI becomes deeply embedded in business operations, with tools integrated into everyday software and platforms,
In an era where mobile applications dominate daily interactions, a startling reality has emerged about the extent to which personal data is harvested by these platforms, particularly by apps with foreign ownership. Recent research has unveiled that many popular social media and e-commerce apps, especially those originating from China, are
This guide aims to equip organizations with a clear, actionable roadmap to establish robust data governance frameworks that enable successful artificial intelligence (AI) adoption. By following the steps outlined, readers will learn how to ensure data quality, security, and accessibility while addressing the unique challenges of governing AI
Setting the Stage for a Transformative Era In 2025, amidst an unrelenting wave of digital disruption, enterprise architecture (EA) stands at the forefront of organizational strategy, with a staggering 60–70% of enterprises projected to reposition their EA functions toward business-outcome-driven transformation by 2027, according to Gartner. This