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 the Digital Product Passport is evolving from a compliance requirement into a strategic product management topic. From data silos to the Digital Thread: connecting product data from PLM, ERP... 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

Why traditional product operating models break down the moment AI collapses build time from weeks to days. How accelerated delivery exposes the real bottleneck, ownership, governance and decision-making, not engineering... 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

How LLMs are becoming the starting point for consumer discovery across commerce, travel, food and experiences. Why the competitive battleground is shifting from discovery itself to the transition from discovery... 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

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

AI has split the tech world in two camps: skeptics fixing AI-generated mess, and overly excited  adopters who try to use AI for every single task. At Opera we successfully... 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