Data Quality Management
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,
I'm thrilled to sit down with Vernon Yai, a renowned expert in data protection and privacy governance. With a career dedicated to pioneering risk management strategies and cutting-edge detection and prevention techniques, Vernon has become a trusted voice in safeguarding sensitive information. Today, we’re diving into his insights on data
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
What if billions of dollars poured into artificial intelligence are barely moving the needle for most businesses? Despite the relentless hype, a staggering number of companies find themselves trapped in a cycle of minimal returns on AI investments, with reports indicating that over 80% of organizations see no significant earnings growth from their