The Risk Management Show
As organizations face increasingly complex threats, the ability to anticipate risks before they materialize is a competitive advantage. This episode equips leaders with actionable strategies to harness AI while safeguarding against bias, making the discussion timely for anyone responsible for safeguarding business continuity and reputation.
In this episode, Garry Singh explains how artificial intelligence is turning risk management from a traditionally reactive function into a forward‑looking, predictive discipline. By ingesting massive data streams, AI can spot emerging threats across cyber, financial, operational and geopolitical domains before they materialise. Yet Singh stresses that the technology is a tool, not a decision‑maker; strategic choices—such as entering a volatile market or allocating mitigation budgets—still require human insight and contextual judgment.
The conversation also highlights the new vulnerabilities AI introduces. Algorithmic bias arises when models treat individuals as mere data points, amplifying errors if training sets lack diversity. Moreover, the sheer volume of AI‑generated alerts creates a noise overload that can drown out genuine signals. Singh argues for layered solutions: dedicated filtering engines that act like a personal butler, and robust governance frameworks that demand explainable AI outputs, ensuring regulators and boards can trace accountability and trust the underlying logic.
Looking ahead, risk leaders must evolve their skill sets. Speed of information delivery now expects near‑real‑time decisions, making fluency with AI tools indispensable. Professionals need to blend technical literacy with traditional risk expertise, champion proactive mindsets, and embed AI governance into daily practice. By mastering these competencies, tomorrow’s risk officers can guide CEOs through complex, multi‑vector threats while keeping human judgment at the helm.
In this episode of the Risk Management Show, we explore "AI in Risk: Proactive Strategies Every Leader Needs," featuring Garry Singh, President of IIRIS Consulting.
With over 28 years of experience in risk management, forensic analysis, and consulting, Garry shares invaluable insights on integrating AI into proactive risk strategies, balancing human judgment with machine intelligence, and navigating algorithmic bias.
He discusses how AI transforms risk management from reactive to predictive, ensuring organizations stay ahead in cybersecurity, sustainability, and operational resilience.
If you want to be our guest or suggest a guest, send your email to [email protected] with the subject line "Podcast Guest Inquiry."
🌐 Join our community for even more insights:
Online Community: https://globalriskcommunity.com/
LinkedIn Page: https://www.linkedin.com/company/globalrisk-community/
LinkedIn Group: https://www.linkedin.com/groups/3701313/
Academy platform: https://globalriskacademy.com/courses/
In this episode of the Risk Management Show, we explore "AI in Risk: Proactive Strategies Every Leader Needs," featuring Garry Singh, President of IIRIS Consulting.
With over 28 years of experience in risk management, forensic analysis, and consulting, Garry shares invaluable insights on integrating AI into proactive risk strategies, balancing human judgment with machine intelligence, and navigating algorithmic bias.
He discusses how AI transforms risk management from reactive to predictive, ensuring organizations stay ahead in cybersecurity, sustainability, and operational resilience.
If you want to be our guest or suggest a guest, send your email to [email protected] with the subject line "Podcast Guest Inquiry."
🌐 Join our community for even more insights:
Online Community: https://globalriskcommunity.com/
LinkedIn Page: https://www.linkedin.com/company/globalrisk-community/
LinkedIn Group: https://www.linkedin.com/groups/3701313/
Academy platform: https://globalriskacademy.com/courses/
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