Check SCREEN READER MODE to make this survey compatible with screen readers.
English
Français
Observatory of Data & Artificial Intelligence in Switzerland - 2025 Corporate maturity & expectations to improve operations and create new opportunities
Thank you for taking the time to complete this form. This form contains 50 questions and should take no more than 20 minutes. Your answers will remain strictly anonymous.
Your participation will help us to compile study on Swiss corporate maturity and projection in the field of Data & Artificial Intelligence
You will receive this study in priority, as well as an invitation to a forthcoming event.
Table of contents
1. Company profile
Part I. Return on experience / current use of data and AI
2. Data prerequisites and AI Maturity Assessment
3. Current AI offering & AI usage and applications
Part II. Expectations for the future
4. Priorities
5. AI regulation, ethics and sovereignty
Glossary
AI (Artificial Intelligence) : Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. This includes the ability to reason, learn from experience, understand complex data, engage in natural language processing, and adapt to new inputs. AI systems can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Generative AI : Generative AI is a subset of artificial intelligence that focuses on creating new content or data that is similar but not identical to the original training data. It leverages techniques like machine learning and deep learning to generate text, images, audio, and other media. This technology is often used for tasks such as creating realistic images or videos, composing music, writing text, or developing new product designs. The key aspect of generative AI is its ability to produce novel, creative outputs based on learned patterns and data inputs.
Data Governance : Data governance is the set of policies, processes, and practices that ensure high data quality, integrity, and security throughout your organization.
