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How do you turn massive data sets into measurable value while managing the inherent risks of AI? In the second part of their discussion, CGI experts Peter Warren, Global Industry Lead for Energy & Utilities, and Dr. Diane Gutiw, Global AI Research Lead, cut through the noise to tackle the critical next steps in enterprise AI adoption.

They explore the essential balance between innovation and risk, detailing why establishing clear governance and putting guardrails in place is the fastest path to long-term success. Learn how AI is enabling a "conversation with your data," helping industries like energy and utilities improve safety, predict failures, and build a resilient operational future.

In this episode, you will learn about:

• The Four Pillars of AI Risk: A breakdown of the key risks in AI adoption—from bad actors and misuse to misunderstanding and the fear of missed opportunities.
• Guardrails as Accelerators: Why the most successful companies are the ones implementing standards and rules for AI use, leading to more reliable and trusted results.
• Unlocking IoT Data: How AI is turning data overload from industrial assets into actionable insights for predictive maintenance, fraud detection, and operational efficiency.
• Conversational AI: The future of dashboards and data analysis, where leaders can "phone their data" to ask complex what-if scenarios and get immediate answers.
• Real-World Impact: Practical examples of how AI is improving field safety, resource allocation, and performance in the energy and utilities industry.

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