
Norman Ainsworth
Change Management AdvisorThe era of accepting an artificial intelligence vendor's assurances on data security and ethical practices at face value has decisively come to an end, fundamentally reshaping the procurement landscape for enterprise technology. As AI systems become deeply embedded in core business operations, the concept of "trustworthy AI" has evolved from an
In the complex world of data, Vernon Yai has carved out a reputation as a leading expert in data protection and governance. He brings a pragmatic, battle-tested perspective to an industry often lost in jargon, focusing on how organizations can build trust and extract real value from their data assets. His work centers on risk management and
Vietnam's digital landscape is undergoing a monumental transformation with the enactment of its first comprehensive Law on Personal Data Protection, a landmark initiative set to take effect on January 1, 2026, and is poised to redefine the relationship between individuals, businesses, and the data they generate. This sweeping legislation
The security of personal health information has become a paramount concern, as a recent cyberattack on a nonprofit mental health provider starkly illustrates how vulnerable sensitive data can be in the digital age. Hackers successfully targeted the Virginia-based Richmond Behavioral Health Authority (RBHA) in a significant cybersecurity incident,
Enterprise resource planning suites have for decades served as the unshakeable digital bedrock of global business operations, meticulously codifying best practices and optimizing processes to support informed decision-making. Now, the emergence of agentic artificial intelligence is poised to trigger a fundamental reevaluation of this core
The relentless corporate push to integrate Artificial Intelligence into go-to-market strategies is stalling against a formidable, yet often invisible, barrier. Organizations are channeling immense resources into advanced AI tools, anticipating a revolution in sales and marketing efficiency, only to be met with underwhelming performance and, in





