Risk Management
The rapid integration of artificial intelligence into core business operations has created a powerful new class of data, yet this AI-generated content and its associated insights often exist in a digital vacuum, created and consumed without the rigorous oversight applied to traditional data sets. For companies failing to implement proactive
The very foundation of conventional IT support rests on a critical vulnerability: it is engineered to respond to problems only after they have already caused disruption and compromised productivity. This model, where IT teams wait for a user to raise a ticket, is becoming increasingly untenable in today's intricate digital workplaces. As
Today, we're joined by Vernon Yai, a leading data protection expert who specializes in the intricate world of AI governance and privacy. As enterprises rush to integrate artificial intelligence, Vernon’s work in risk management and developing innovative detection techniques has become more critical than ever. We'll be exploring the alarming
While the initial frenzy surrounding generative AI has settled, the foundational problem of AI hallucinations continues to be a significant barrier to widespread enterprise adoption, with some advanced reasoning systems still demonstrating alarmingly high error rates. Focused Language Models (FLMs) represent a significant advancement in the
The Silent Drag on Innovation: Confronting a Hidden Liability In the relentless pursuit of speed and innovation, businesses often make a costly trade-off: choosing a quick, easy technology fix over a more robust, long-term solution. This decision creates a hidden liability known as technical debt, a persistent drag that consumes resources, stifles