Operating AI in Production: Building Trust, Visibility, and Accountability at Scale

Complimentary Sponsor Content Webinar and Summary Report

As AI moves from experimentation to business-critical production environments, leaders need visibility into how AI-powered services behave, what outcomes they produce, and whether they operate within established guardrails. AI observability helps organizations connect technical performance to business outcomes, understand the context surrounding AI behavior, and main accountability as systems become more autonomous.

To scale with confidence, it’s important to start with the desired business outcomes, not the technology. Leaders must be very clear about the business problems to be solved and how success will be measured. Other best practices include putting governance, data, and operational foundations in place early, investing in AI literacy, keeping accountability clear, and integrating AI into the operating model rather than a separate initiative.

Click here to watch the webinar and download the summary report.

Thomas Kennedy, Global VP of Enterprise Observability, Prudential.

Bob Wambach, VP of Market and Customer Insights, Dynatrace.