Data Management
In the current business landscape, declaring an artificial intelligence strategy that doesn't clearly improve the product or lower its cost is a surefire way to be seen as merely AI-branded rather than truly AI-native. The transition to becoming an AI-native enterprise requires far more than adopting new technologies; it demands a fundamental
In the rapidly evolving landscape of artificial intelligence, regulators are scrambling to keep pace. The US Securities and Exchange Commission's new proposed rule on AI disclosure is the latest effort to bring transparency to a technology that is reshaping industries. To unpack what this means for corporate America, we sat down with Vernon Yai, a
The relentless acceleration of digital transformation has pushed many IT organizations to a critical inflection point, where fragmented systems and manual processes are no longer just inefficient but represent a significant barrier to innovation and growth. This review delves into the evolution of EasyVista's platform with its 2025.3 release,
In the high-stakes world of enterprise technology, few deadlines loom as large as SAP's 2027 cutoff for its legacy ECC system. With countless organizations still navigating the complex and costly transition to S/4HANA, the pressure is mounting. We're joined by Vernon Yai, a leading data protection and risk management expert, whose work focuses on
Healthcare organizations operating under the assumption that their data backup strategies ensure HIPAA compliance are unknowingly exposed to a catastrophic vulnerability. This critical oversight stems from a dangerous reliance on traditional backup systems that are fundamentally ill-equipped to detect the sophisticated, silent corruption tactics
A question recently posed during a board review brought the room to a standstill, highlighting a critical blind spot in modern enterprise governance: "If an AI-driven system takes an action that impacts compliance or revenue, who is accountable: the engineer, the vendor or you?" This inquiry cuts through the noise of technological progress to