09.00h to 09.15h
First Day Welcome
Welcome to the first day of AI Congress 2026.
20th OCTOBER
Strategy and trends
09.15h a 09.45h
Keynote speaker:
Ariadna Font, Co-Founder and CEO, ALINIA AI
Ariadna shares a practical perspective on how to prepare for AGI responsibly while maintaining human oversight and control.
09.45h to 10.15h
AI Under Control: How to Deploy Generative AI with Privacy, Transparency, and Cost Control
How new on-premises enterprise AI platforms enable the deployment of LLMs, AI agents, and AI applications.
10.15h to 10.45h
The practical path: how to transform a traditional software company into an AI-first company
Raona shares the path taken to become an AI-First software company.
10.45h to 11.30h - Coffee break
11.30h a 12.10h
Keynote Speaker:
Jezabel R. Garcia, IA Researcher Manager, MULTIVERSE COMPUTING
The latest advances in model compression, their industrial applications, and their role in building sovereign, efficient, and sustainable AI.
12.10h to 12.30h
Keynote Speaker:
Pooja Munshi, Data & AI for Environmental Leader, Former UN Environment Programme
AI for Planetary Action: The Case for Intentional AI
12.30h to 13.00h
Who governs the agents? MCP, multi-agent architectures and control risks
The session will analyse the security risks associated with multi-agent systems based on MCP and Agent2Agent communications.
13.00h to 13.20h
Agentic AI and GDPR: The Hidden New Risks
What role do organizations play, and how should effective human oversight be structured to address the specific risks associated with agentic AI?
13.20h a 14.00h
DeployEMDS: Data and AI for urban mobility planning
Data is an essential element for the development and deployment of AI.
14:00h - End of the first day
21st OCTOBER
Technology and development
09.05h to 10.00h
From AI models to AI systems: agents, multiagents, orchestration (I)
In this session, four examples will be presented of how AI agents are being used across different sectors.
10.00h to 10.30h
How to govern agent sprawl in your company without slowing down innovation
In this lessons learned session, our Data & AI experts will reveal the real-world challenges posed by agentic AI.
10.30h to 11.10h - Coffee break
11:10h to 11:40h
Data & AI Together: Empowering Every Interaction
In this session, we will show that effective collaboration between Data and Artificial Intelligence is key.
11.40h to 12.10h
Institutional session with the supporters of the congress
Representatives of the organizations promoting the congress will welcome attendees.
12.10h a 12.40h
Self-Assessment for Advancing Responsible AI: The PIO Model as a Roadmap for the Ethical and Legal Evaluation of AI Systems
What we’re learning about AI adoption in a global organization.
12.40h a 13.10h
How Orange Uses AI to Lead Customer Satisfaction
It will cover how AI is applied to the business, based on both Orange’s internal experience and solutions that have been incorporated into other companies.
13:10h to 13.50h
Initiatives to boost technological innovation for companies
In this session, three initiatives that make available… will be presented…
13.50h - End of the second day
22nd OCTOBER
Inspiring projects
09.05h to 10.00h
From AI models to AI systems: agents, multiagents, orchestration (II)
The potential of Agentic AI in real-world environments through four use cases.
10.00h to 10.20h
AI with purpose: from strategy to safe adoption at LABORAL Kutxa
How LABORAL Kutxa is approaching artificial intelligence, from a strategic vision to practical deployment.
10.20h to 11.00h - Coffee break
11.00h to 11.45h
Data and AI: from data spaces to synthetic data
Synthetic data is a powerful alternative for overcoming the limitations of access to real-world data.
11.45h to 12.00h
AI adoption at scale: more than a technological challenge
What we are learning about AI adoption in a global organization.
12.00h to 12.55h
AI, regulation and technological sovereignty: building architectures for auditable systems
AI systems must be designed to incorporate regulatory compliance requirements into their architecture from the outset.
12.55h to 13:25h
Beyond language models: multimodal models
Multimodal models represent a new generation of AI systems capable of simultaneously integrating and interpreting text, images, audio, and video.
13.25h to 13.55h
Vertical AI models: specialization or generalization?
The emergence of large general-purpose models has shaped the recent evolution of artificial intelligence.