Why the biggest challenge today is no longer AI technology itself, but deploying and scaling it successfully across the enterprise. How business expertise, AI know-how and systems understanding must come... Read More
Opportunities and challenges arising from the rapid pace of technological and AI-driven change. Balancing the speed of AI innovation with data protection, responsible implementation and organizational trust. How AI affects... Read More
Why most AI initiatives never move beyond the pilot stage – and how to avoid the common pitfalls. Why governance, trusted data and automated end-to-end processes matter more than the... 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
From Co-Pilots to Agent Teams: What agentic AI means for senior leaders and where the real business value lies. Beyond Chatbots: What sets AI agents apart from co-pilots – and... Read More
Prof. Dr. Thomas Clemen, Hamburg University of Applied Sciences (HAW)
Practical lessons from Axpo’s AI journey: How to identify valuable use cases, support adoption, balance innovation with governance, And make AI genuinely useful in everyday work.
How Data Science & AI can support the transition from prototype-driven space programs to industrialized hardware manufacturing. Why data quality, standardized processes and governance are critical dependencies for successfully deploying... Read More
Navigating the 2026 Intelligence Ecosystem: Key trends shaping data, AI, and digital transformation. Building Data-First Organizations: The maturity pillars required for scalable innovation. From Strategy to Execution: Critical success factors... Read More
AI is only as good as the data behind it: how to unlock value from manufacturing, quality and operational data at scale. From analytics to automation: using AI to transform... Read More
Alessandro Crippa, dsm-firmenich Animal Nutrition & Health (ANH)
AI is fundamentally changing the way companies create value and make money. The main challenge right now: with AI technology developing faster than organizations can change, it is very hard... Read More