Stream: Catalunya
Time: 11:15 - 12:00
AI and machine learning are transforming IT operations by turning massive volumes of operational data into actionable insights. But successful adoption depends on more than algorithms—it requires trust. In this session, we explore how organizations move from reactive monitoring to AI-assisted operations, using machine learning to detect anomalies, predict issues, and accelerate root-cause analysis. Learn the key factors that build confidence in AI, including transparency, explainability, data quality, and human oversight, and discover practical strategies for integrating AI into operational workflows. Key Takeaway: Understand how to build trust in AI and unlock its value for smarter, more resilient IT operations.
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Dan Wiegand is a Principal Product Manager and Product Management lead for IBM Z AIOps, focusing on bringing AI and hybrid observability to IBM Z operations. In his 28 years at IBM, he has performed multiple roles across development, architecture, and offering strategy for both IBM Z and IBM Cloud solutions. Dan has an extensive background in IT Service Management.