Beyond the AI Hype Cycle: From Experiments to Enterprise Impact - Powered by Zühlke

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From rule-based expert systems in the 1980s to machine learning in the 2010s and today’s Generative AI surge, financial institutions have seen AI come in waves, each one launched with bold promises, and each one slowed by the same hard truths about integration, governance, and business value.

This session brings together financial services and technology leaders to cut through the hype and reflect on what we’ve learned, and what we keep repeating. Why do so many pilots stall at the lab stage? What really separates one-off experiments from enterprise-scale impact?

While many organisations are still navigating the AI learning curve, patterns of success are starting to emerge. From end-to-end workflow redesigns to repeatable, low-risk wins in the back and mid-office, a new playbook is taking shape.

Whether you're exploring your first GenAI use case or scaling a broader AI roadmap, this workshop offers a practical, grounded discussion on what it really takes to turn potential into performance.