Data Management
The long-standing debate over whether to build custom software or buy off-the-shelf solutions has defined enterprise technology strategy for decades, but the emergence of complex, multi-layered agentic AI systems has rendered this binary choice fundamentally obsolete. For today's Chief Information Officers, the question is no longer a simple fork
Despite massive investments and strategic focus, a staggering 70% of digital transformations fail to achieve their intended goals, a reality that points to a deeper, more systemic issue than simply flawed execution. The fundamental reason for this widespread failure lies not in the technology itself, but in a growing paradox: while technological
Europe's relentless digital transformation is fueling an unprecedented expansion of its data center capacity, with projections showing it will triple within the next seven years, placing an extraordinary strain on the continent's established power infrastructure. This explosive growth, driven by the insatiable demands of artificial intelligence
The rapid expansion of agentic artificial intelligence has created a critical governance deficit that is silently growing within enterprises, where autonomous systems are being deployed far faster than the frameworks designed to control them. As organizations rush to integrate these powerful new capabilities, the essential pillars of lifecycle
In a world where business strategy is increasingly dictated by AI and speed to market, the role of cybersecurity is undergoing a radical transformation. We're joined today by Vernon Yai, a data protection expert who has spent his career at the intersection of risk management, privacy, and data governance. He argues that for security leaders to