Agenda

From Imperfect Data to Meaningful Impact: Making High‑Value Technology Choices and Leading the Change Traditional industries often face uneven or imperfect data, yet the pressure to deliver meaningful AI impact... Read More

The decoupling of value: from HW-centric to intelligence centric transportation. AI driven solutions are eating HW solutions on heavy duty vehicles. Data as a strategic asset within the value chain... Read More

Developing a go-to-market model based on data analytics. Centralized BI & advanced analytics platform. Market intelligence and competitive insights frameworks.

 A journey from data silos to lifecycle‑driven competitiveness and value creation.

How we develop and implement AI strategies. Use case: Using AI to optimize our streaming media products. Lessons learned from Milano Cortina 2026.

EU AI Act: Blockchain as an immutable audit trail to prove AI data integrity. Verifying the provenance of training data. Example: Traceability in supply chains – how physical supply chain... Read More

Developing and implementing a data strategy in the public sector. Building a data and AI platform as part of a hybrid architecture. AI governance. Technology stack. AI trainings for the... Read More

Artificial Intelligence is arguably the most transformative technology of our time, already reshaping how businesses operate and compete. Yet, its rapid adoption brings a growing risk: deploying AI in contexts... Read More