AI undeniably has the potential to transform our world in a way radical, probably beyond our expectations current. This is why many organisations move forward with caution and hesitation, venturing into AI as we test the water temperature.

In Switzerland as elsewhere, facing the challenges of growing digital transformation, companies struggle to effectively integrate artificial intelligence and data in their strategies. To fill this lack of maturity and meeting high expectations, we created this Data Observatory and AI in Switzerland. Its mission: to identify the challenges and opportunities specific to this ecosystem through an approach systemic. And if this observatory first a descriptive purpose, it must also allow project, anticipate and decipher the next developments in companies.

We carried out this project in collaboration with Oracle, Columbus Consulting and Geneva High School of Management (HEG), with the ambition to provide valuable lessons allowing Swiss companies to better integrate AI into their strategies. By publishing this data, we hope to stimulate constructive dialogue and guide organisations towards successful digital transformation, combining operational efficiency and innovation.

• Executive Summary
• The Current Data and AI Landscape in Switzerland
• How to Initiate Your Data and AI Transformation
• Supporting Professions
• Building an Organisation and an Adapted and Scalable Ecosystem
• Corporate Social Responsibility (CSR, Ethics and Regulation)
• The Special Place of Generative AI
• The Challenges of Industrialisation: Many Pilots, Few Scale-Ups
• Conclusion