AI without accountability is a risk
An exclusive gathering of leaders on the safe and professional deployment of AI in environments with high demands on legal, compliance and security.
An exclusive gathering of leaders on the safe and professional deployment of AI in environments with high demands on legal, compliance and security.
For many organizations it is becoming a critical part of operations – with
a direct impact on leadership responsibility, regulation and reputation.
DAY ONE is the first in a planned series of meetings where AI is addressed without
simplification and without marketing veneer. We focus on what counts in the real
world: safety, responsibility and the long-term sustainability of solutions.
17:00 Welcome drink
17:30 - 18:15 Panel discussion
"Where AI ends and reality begins. The challenges companies face when considering AI implementation."
Speakers: Fabien Frossard, Tomáš Kutěj, Martin Gerneš
18:15 - 19:00 Presentation
"Open-source models. Risk or opportunity?"
Speakers: Robert Mitka, David Petr
19:00 - 19:30 Break
19:30 - 20:15 Presentation
"AI between freedom and rules. European regulations, legal framework and governance."
Speakers: Jan Procházka, Jakub Císař, Gus Vanherf
20:15 - 22:00 Drinks & Bites & Connect
Perspective from the European Union space program, where safety, reliability, and regulatory requirements are absolute, and how European standards, technology, and real-world operations intersect.
A look at the new generation of banking emerging through cloud platforms and mobile applications. It focuses on how AI and modern technologies are transforming large banking systems.
Why companies benefit from building internal AI tools and how proprietary solutions provide greater control over data while reducing the risk of sharing it with public AI tools.
A leading Czech lawyer specializing in technology, startups, and investments in an environment where the importance of AI, data, and regulation is rapidly growing. Focuses on transactions, investments, and the legal structuring of technology companies.
How can AI governance be practically implemented in a corporate environment? Using ServiceNow as an example, it shows how to manage workflows across the organization and gain clear visibility into the effectiveness of AI adoption company-wide.
Experience in building and scaling AI-driven data platforms in the banking environment. Focuses on connecting data, automation, and decision-making in financial services.
Contributes to the strategic direction of Prague Gateway DC, one of the largest data centers in Central and Eastern Europe, with the ambition to become part of the European AI Gigafactories network.
Focuses on implementing AI in enterprise marketing and on connecting strategy, creativity, and execution within one system. Shows how companies can use AI to gain greater control over brand, data, and content creation.
How to bring AI into companies without losing control over data. A practical perspective on open-weight models, local deployment, and private AI infrastructure: what already works today, where the limits are, and why open-source models are becoming a real alternative for enterprise use cases.