Agenda

How AI takes over routine PM work: meeting prep, status updates and decision retrieval—freeing time for higher-value conversations. A simple four-label system (decided, aligned, proposed, contested) to separate real decisions... Read More

Why traditional product operating models break down as AI dramatically accelerates delivery. How AI exposes hidden organizational bottlenecks across ownership, governance and decision-making. Why conventional QA, testing and release processes... Read More

From feature to outcome: Product Management for digital service platforms. How product management creates value in digital B2B service ecosystems. Using customer pains, gains and operational realities as the foundation... Read More

Managing a portfolio of digital healthcare products through large-scale technology modernization. Lessons learned from introducing AI through proof-of-concept initiatives in a highly regulated environment. Balancing legacy product retirement with the... Read More

Understanding the needs, pain points, and success criteria of product teams. Translating those insights into capabilities such as observability, security, automation, and platform services. Lessons learned from taking ownership of... Read More

Why perfect data models alone do not lead to better product decisions. How Data-Driven Product Management can be embedded organizationally within the PM team and across the company. How to... Read More

How AI supports Product Lifecycle Management and improves portfolio transparency and decision-making. Practical insights from implementing an AI-powered PLM solution and the expectations behind the initiative. Lessons learned on how... Read More

Many organizations unintentionally slow innovation through excessive coordination, stakeholder management, and unclear decision ownership. This session examines why consensus often becomes the enemy of progress, how successful product organizations establish... Read More

A working definition of AI-native, and a short test to check your own product against it. Why “we added AI features” and “we are AI-native” are two different products, not... Read More

How behavioral science and unmet human needs can reveal opportunities for differentiation in mature product categories. Turning an unconventional idea into a new product: lessons from creating Opera Air, a... Read More

Demos have never been easier to build. Production has never been harder to reach. AI projects fail twice as often as traditional IT, and 95% of enterprise GenAI pilots return... Read More