Innovation with Trust: Balancing AI Progress, Data Protection and Workforce Impact
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... Read More
Before AI Comes the Meaning of Data
Why a semantic foundation is key. Our journey to create one. How old priorities didn’t change.
Panel Discussion: From Pilots to Corporate AI Transformation
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... Read More
Four Lessons from Leading an Enterprise AI Team
Stand on the shoulder of giants. Value simplicity. Don’t fight Conway’s Law. It’s all about the data.
Enablement of Data Science & AI in Space Hardware Manufacturing: Dependencies and Challenges
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... Read More
From AI Pilots to Business Impact: What It Really Takes to Scale AI
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... Read More