CAIO Digital Boardroom by Dynatrace

If your AI makes a business-critical decision tomorrow, could you explain exactly how it arrived at that outcome and would you trust the answer?

Organizations are rapidly moving AI from experimentation into production, embedding it across customer experiences, business processes, and decision-making. As AI becomes more business-critical, leaders are under increasing pressure to ensure it delivers reliable, trusted outcomes.

Join Chris Conklin, Field CTO at Dynatrace and former Technology Executive at TD Bank, for a peer discussion on how leading enterprises are operationalizing AI at scale. Drawing on real-world experience leading AIOps strategy in a complex enterprise environment, Chris will explore how observability, automation, and governance can help organizations gain visibility into AI behavior, build trust in AI-driven decisions, and accelerate business value from their AI investments.

Key Takeaways:

• Turning AI from a technology initiative into a trusted business capability.
• Building the visibility needed to understand AI performance, behavior, and business impact.
• Establishing accountability and governance for autonomous AI and agentic workflows.
• Scaling AI adoption while balancing innovation, risk, and operational resilience.
• Leveraging observability and automation to drive better business outcomes and customer experiences.