DSC Europe 25 SCHEDULE

TBA

For data scientists and enthusiasts, the EU AI Act might appear just as another layer of regulatory complexity, particularly concerning high-risk AI systems such as those used in most fields that deal with personal data. While this new Act presents new challenges, organizations and professionals with experience in the rigorous domain of Credit Risk Internal Ratings-Based (IRB) model validation hold a distinct advantage towards its compliance. The IRB approach, governed by the Capital Requirements Regulation (CRR), allows financial institutions to use their own extensively validated internal models for estimating their own key credit risk parameters, subject to strict supervisory approval and ongoing regulatory scrutiny. This talk will cover how established IRB pillars -such as robust risk management frameworks, meticulous data governance, comprehensive model documentation, and stringent ongoing performance monitoring- are not only relevant but directly transferable to meet the EU AI Act’s stringent demands [Art. 9 of the EU AI Act]. We will dissect how core competencies developed through years of IRB work can be transferable and helpful to meet AI Act compliance. Data scientists and enthusiasts will gain crucial insights into how their existing skills can be directly and effectively applicable. The session will delve into adapting these proven methodologies to address new dimensions introduced by the AI Act. Ultimately, this talk will be dedicated to unravel the seemingly complex EU AI Act compliance by drawing direct, practical parallels with the established and deeply regulated world of the CRR and IRB frameworks.

In the absence of comprehensive regulation of AI, the governance and use of AI in the US is largely guided by frameworks, industry regulations, and internal policies. How has this affected companies’ ability to adopt and scale AI solutions, especially in highly-regulated industries like financial services? Does strong AI governance strangle innovation, or can it actually be an enabler? You will learn about different approaches taken by US companies, how US perspectives differ from those in other regions, and how to start an effective AI governance process at your organization.

Governments worldwide face the challenge of delivering more efficient, citizen-centered services. This talk explores how the Colab platform is pioneering the transition to a “Zero-Click Government” — where services are delivered proactively without citizen requests — powered by agentic AI and large-scale automation. Drawing from real-world cases impacting over 20 million people in Brazil, we will uncover strategies for implementing AI in complex public sector ecosystems, balancing innovation, policy, and citizen trust. Attendees will learn actionable frameworks for scaling AI-driven public service delivery, from early adoption to full integration, and how these lessons can be applied globally to drive measurable social impact.

TBA