Data Quality Management
Welcome to an insightful conversation with Vernon Yai, a renowned data protection expert whose work in privacy protection and data governance has shaped innovative strategies for safeguarding sensitive information. With a deep focus on risk management and cutting-edge detection techniques, Vernon brings a unique perspective to the world of data
Setting the Stage for AI and Data Quality Imagine a multinational corporation launching an AI-driven customer service platform, only to discover that biased data leads to inappropriate responses, tarnishing its reputation overnight. This scenario underscores a pressing reality: the integration of artificial intelligence into business operations
Understanding the Intersection of Data Governance and CSR Imagine a world where every corporate claim about sustainability or social impact is met with skepticism due to unverifiable data—a scenario that many stakeholders face today, highlighting the urgent need for trust. In an era where trust is paramount, the convergence of data governance and
Imagine a bustling city street during a critical emergency, with fire trucks racing to a scene, only to be delayed by a driverless vehicle frozen in an intersection, unable to adapt to the unfolding crisis, highlighting a pressing challenge as autonomous vehicles, particularly robotaxis, become more integrated into daily life. Cities across the
Saudi Arabia is experiencing a profound shift as it accelerates toward a fully digital economy, placing data protection at the heart of this ambitious transformation under the Vision 2030 framework, with nearly 98 percent of public services already transitioned to online platforms. The Kingdom stands as a leader in digitalization within the
In recent years, a study conducted by Actian has unveiled a stark gap between organizations' perceived and actual data governance maturity, which threatens the successful trajectory of their AI investments. The report, titled "Actian State of Data Governance Maturity 2025," surveyed over 600 data professionals from large enterprises, exposing a