Last year, we discovered on Panoramai's stage small language models and their use cases. The trend is quite clear: all players are coming with their own mini and/or open-source models, some serving critical transactions inside organisations. Side to this, the coding exponential capacity is on its way and will create a double chance for Europe to catch up with USA and China. What are the key ingredients to build the future software champions of Europe?

A few questions that might come on stage:

Why SLMs again? Beyond compliance and data quality, why do we see so many interests in deploying them? With inferencing exploding and GPU under shortage, should/could we use CPUs?

Sustainable AI possible? What practices and architecture should we put in place to reduce our electricity consumption?

What is a reasoning model? What it means? Does the world know the difference? Should they know it? How far can we embed European versus Chinese values inside their reasoning process?

The boardroom and AI: Tariffs were apparently calculated with chatGPT… who is responsible for the weakness of the conversation in the decision making process: the human or the model?

Super intelligence as collaborator: Do we all need deep research tools? The top players are trying to create new categories of AI services with subscriptions going further than 1k per month per seat. Are Europeans willing to pay for this or only Americans with huge investments?

The impact of AI on GDP: Satya Nadella is envisioning 10% of growth of the annual GDP as a potential consequence of super intelligence. At the same time, people will get fired to pay for inferencing costs and more. Is it a bubble or an industrial renaissance?

Superintelligence with capacities beyond topissime planning: Should we plan for it? According Eric Schmidt, there is a consensus in San Francisco that recursive systems will be successful in a few years and surpass humans. Is it something desirable? Is Europe regulation willing to accept such high-level of non-human intelligence? What kind of obvious consequences we will see end of 2027?

China's innovation: Deepseek, Bytedance, Alibaba to name a few. Why China is so willing to disrupt the Americans with open-source ? Will it stay open ? And why it could be a good thing for Europe?

Expert Insights:
This panel brings together frontline perspectives from industry pioneers.

Philippe Van Caenegem will share insights as Partner at Evident, where he transforms digital IP assets into strategic intelligence through AI-driven portfolio management. With decades of experience spanning startup founding to executive roles at Salesforce, Philippe brings a unique perspective on building resilient, AI-native organizations after countless strategy discussions with CEOs and CIOs worldwide.

Matteo Sorci brings over 20 years of experience bridging research and enterprise AI solutions as a Computer Vision and GenAI expert. His journey from CTO and Co-founder at nViso SA to Innovation Manager at Idiap Research Institute and now Account Executive at Dell Technologies provides him with unique insights into translating theoretical AI advances into practical business applications.

Pierre-Carl Langlais will share pioneering perspectives as co-founder of Pleias, a startup specializing in deploying RAG on AI models trained exclusively on freely licensed and public domain data—a unique strategic position in the industry. As a data science instructor at Sciences Po and former research lead at opsci, Pierre-Carl brings deep expertise in LLMs and digital humanities, having directed the Common Corpus project which assembled over 500 billion words for ethical, open-source AI training.

See the full program of the day