AMLD: Intelligence Summit 2026
From February 10 to 12, 2026, the SwissTech Convention Center in Lausanne will host the 10th edition of the Applied Machine Learning Days (AMLD), one of Europe's largest events dedicated to applied artificial intelligence (AI) and machine learning. Over three days, researchers, practitioners, decision-makers, and innovators will gather for conferences, workshops, and interactive sessions to share knowledge and outline concrete applications of AI in the economy and society.
3 days to understand AI, its many applications, and its cross-cutting challenges
AMLD 2026 offers a packed program centered around high-level conferences and practical workshops covering the entire AI value chain: from infrastructure to business, including societal, regulatory, and operational issues.
The event will open with discussions on issues related to technological sovereignty, with sessions such as Inside Apertus – Engineering a Sovereign Foundation Model, and Switzerland's strategic role in the global race for high-performance computing, through the debate Money, Chips, Energy: Switzerland at the crossroads, bringing together experts in high-performance computing and energy policy.
The rest of the program will be organized around complementary themes, illustrating topics such as:
AI, the economy, and governance
- Assessing the Disruption by AI Agents: economic, legal, and security impacts of autonomous agents, between productivity gains, new risks, and responsibility.
- Europe in the Age of AI: Dead or Alive? A strategic debate on European competitiveness, regulation, and sovereignty in a tense geopolitical context.
The sovereignty of innovation
- Swiss AI Initiative – Foundations of a National AI Innovation Ecosystem: presentation of flagship projects aimed at structuring a national ecosystem around fundamental models and next-generation AI infrastructures.
Creating value with AI in production
- Generating value, not just text: concrete feedback showing how companies are transforming AI into measurable impact (industry, transportation, operational optimization).
- How to measure the ROI and impact of AI models in production: introduction to causal inference approaches for effectively evaluating the business impact of AI models.
Safety & Ethics
- Development of on-premise LLM applications, RAG, and early AI agents without dependence on external APIs.
- Secure and ethical AI in biomedicine, in the face of regulatory constraints and the protection of sensitive data.
- Designing responsible AI tools for education, with educational chatbots based on LLMs.
