09:40 - 11:10

Plenary Session [EN]  
Where Human Ingenuity Meets AI in Action

Discover how leading organizations are putting AI to work—responsibly, at scale, and with measurable impact. In this session, you’ll see how human expertise and intelligent systems come together to deliver trusted, enterprise ready AI. From governance and transparency to real world use cases powered by SAS Viya, this is AI delivering value now—and how you can apply it in your organization. 

Udo Sglavo, Vice President, Applied AI and Modeling, SAS 
Josefin Rosén, Principal Trustworthy AI Specialist, SAS
Casper Pedersen, Head of Architecture and Data, SAS EMEA 
Thomas Roehm, Vice President, Corporate Marketing, SAS 
David Weik, Senior Systems Architect, SAS

11:30 - 12:15

PANEL DISCUSSION
Leaders in the Age of AI: From Innovation to Responsible Decisions

This conversation focuses on responsible leadership at a time when technology is increasingly shaping not only competitive advantage but also the overall resilience of organizations. AI is entering a new phase of business validation - moving beyond experimentation for its own sake and into an era defined by questions of real value, cost predictability, and control over strategic assets. During the panel, business leaders will share how they approach investments in data and AI amid growing regulatory demands, the need for greater digital sovereignty, and increasing pressure to deliver measurable ROI. The discussion will explore how to build modern technology environments without falling into extremes - balancing on-premises and cloud solutions, flexibility and control, rapid deployment and long-term value - and how to ensure the right level of oversight for data, models, and AI-driven decision-making processes. 

Kamil Konikiewicz, Group Director, Data&AI, Allegro
Magdalena Macko-Gizińska, Chief Customer Officer, Nationale-Nederlanden  
Krzysztof Szubert, Plenipotentiary of the Director, National Institute of Telecommunications, Member of the Board of Directors, European Cyber Security Organisation, Senior Associate Member, University of Oxford
Marek Wilczewski, Managing Director of Information, Data and Analytics, PZU Group
Mikołaj Kunica, Editor in Chief, Business Insider Poland

13:15 - 13:35

Overview of innovations in Risk, Fraud & Compliance Solutions

Geopolitical volatility, rising customer expectations around products and pricing, mounting regulatory pressure, and the escalation of fraud threats - these forces are simultaneously shaping the business landscape and defining the day-to-day priorities of executives responsible for Risk, Anti-Fraud, and Compliance. At the core lies a shared dilemma: how to make fast decisions that are both commercially sound and robust under regulatory scrutiny. The answer lies in technology that is no longer a promise but a reality. Responsible AI, dynamic risk profiling, and the automation of decision-making processes are now entering a phase of tangible implementation - transforming not only the speed but also the quality of decisions at both strategic and operational levels. We will explore how the latest SAS solutions address these challenges - and what this means for organizations aiming to be profitable, secure, and fully compliant.

Łukasz Libuda, Principal Business Solutions Manager, Risk Solutions ITA/SEE, SAS
Marcin Nadolny, Head of Fraud & Compliance Solutions, SAS Europe

13:15 - 13:35

How can a bank’s balance sheet be effectively managed? ALM risk management challenges vs. the potential of Generative AI

Asset and Liability Management (ALM) is one of the core management processes in a bank. In practice, it addresses fundamental questions: what can we achieve with our balance sheet, in which direction should it evolve, and what kind of product offering should we build - all while maintaining regulatory compliance. The spectrum of risks that must be managed effectively is broad. It ranges from interest rate risk and liquidity risk, through market risk, to customer behavior risk - often deviating significantly from rational models - as well as legal, regulatory, and increasingly important geopolitical risks. The calculations themselves are highly complex: forecasting models for a dynamic balance sheet, multiple scenarios for customer behavior and market changes, millions of data points, and limited time for decision-making. This raises an important question: Is ALM a natural domain for applying AI? And if so, where exactly should it be deployed - at the operational level, or rather as conceptual and decision-making support?

Adam Kot, Head of ALM Control Office, Bank Pekao 
Przemysław Janicki, Senior Pre-Sales Solutions Architect, SAS Polska 
Łukasz Libuda, Principal Business Solutions Manager, Risk Solutions ITA/SEE, SAS 

13:35 - 13:55

Fireside Chat: How can a bank’s balance sheet be effectively managed? ALM risk management challenges vs. the potential of Generative AI

Asset and Liability Management (ALM) is one of the core management processes in a bank. In practice, it addresses fundamental questions: what can we achieve with our balance sheet, in which direction should it evolve, and what kind of product offering should we build - all while maintaining regulatory compliance. The spectrum of risks that must be managed effectively is broad. It ranges from interest rate risk and liquidity risk, through market risk, to customer behavior risk - often deviating significantly from rational models - as well as legal, regulatory, and increasingly important geopolitical risks. The calculations themselves are highly complex: forecasting models for a dynamic balance sheet, multiple scenarios for customer behavior and market changes, millions of data points, and limited time for decision-making. This raises an important question: Is ALM a natural domain for applying AI? And if so, where exactly should it be deployed - at the operational level, or rather as conceptual and decision-making support?

Adam Kot, Head of ALM Control Office, Bank Pekao
Przemysław Janicki, Senior Pre-Sales Solutions Architect, SAS Polska
Łukasz Libuda, Principal Business Solutions Manager, Risk Solutions ITA/SEE, SAS 

13:35 - 13:55

Fireside Chat: Przeciwdziałanie nadużyciom w VeloBank - teraźniejszość i przyszłość

Fraud zmienia się szybciej niż procesy, które mają mu przeciwdziałać. Banki muszą jednocześnie chronić klientów i ich środki, utrzymywać tempo biznesu i nie psuć doświadczenia klienta - a w świecie instant payments te trzy cele coraz częściej ze sobą konkurują. W tej rozmowie schodzimy z poziomu deklaracji do praktyki. Marek Korulczyk opowie, z jakimi realnymi wyzwaniami mierzą się dziś zespoły anty-fraudowe w VeloBanku - zarówno w płatnościach, jak i w procesach kredytowych - co faktycznie sprawdziło się w produkcji, oraz gdzie Bank widzi przestrzeń dla zaawansowanej analityki i AI w perspektywie najbliższych 2–3 lat.

Marek Korulczyk, Dyrektor Departamentu Bezpieczeństwa, VeloBank
Marcin Nadolny, Head of Fraud & Compliance Solutions, SAS Europe

13:55 - 14:15

Fireside Chat: Data, Models, Trust: How AI Is Transforming Credit Risk and Fraud Prevention

AI is simultaneously reshaping two critical areas: how banks assess whom to lend to, and how they verify who is truly on the other side of the screen. In credit risk assessment, models are becoming increasingly accurate but also more difficult to interpret, while regulators and customers expect transparency and a clear understanding of the decisions being made. In fraud prevention, traditional rule-based approaches are proving less effective, as fraudulent activity can now mimic legitimate user behavior, leading real customers to unknowingly authorize transactions. At the same time, new threats are emerging, including deepfakes, cloned voices, and AI agents acting on behalf of users. In this session, Piotr Wojewnik will explore how Polish Credit Bureau and Digital Fingerprints approach the use of AI across both domains: where advanced analytics and machine learning genuinely enhance the quality and security of credit decisions, how behavioral biometrics supports systems where traditional rules fall short, and where, despite the excitement surrounding AI, human oversight and caution remain essential.

Piotr Wojewnik, Member of the Board DFP S.A., Data Science Director, BIK S.A.
Łukasz Libuda, Principal Business Solutions Manager, Risk Solutions ITA/SEE, SAS
Marcin Nadolny, Head of Fraud & Compliance Solutions, SAS Europe

14:15 - 14:35

Fireside Chat: Fraud Prevention at VeloBank – Present and Future

Fraud is evolving faster than the processes designed to prevent it. Banks must simultaneously protect customers and their funds, sustain business momentum, and preserve a seamless customer experience - yet in the era of instant payments, these three objectives are increasingly at odds. This conversation moves beyond high-level declarations into practical realities. Marek Korulczyk will share the real challenges faced today by VeloBank’s anti-fraud teams - across both payments and lending - what has proven effective in production, and where he sees the greatest potential for advanced analytics and AI over the next 2–3 years.

Marek Korulczyk, Director of the Security Department, VeloBank
Marcin Nadolny, Head of Fraud & Compliance Solutions, SAS Europe

14:35 - 14:55

From Data to Emotion: Engaging Fans on the Road to the World Cup 2026 with SAS CI 360  

While the Netherlands National Football Team players inspire on the field, KNVB data analysts create experiences that unite millions of fans. Learn how the “Orange Wave” is built through personalized engagement — because the orange energy in the stands is driven by a well-defined strategy. Bas Hakvoort will show how KNVB orchestrates the fan engagement journey using SAS CI360.

Bas Hakvoort, Data Scientist, KNVB - Royal Dutch Football Association

14:55 - 15:15

Data-Driven Transformation of the Education System: From Integration to Analytics 

This presentation outlines the transformation of the education system - from integrating fragmented systems to leveraging advanced analytics. It highlights key challenges related to scale, data quality, and the establishment of a coherent data governance framework. The presentation demonstrates how data supports decision-making in public administration and has a tangible impact on the functioning of the education system.

Marek Charążka, Director of the Centrum Informatyczne Edukacji

15:15 - 15:35

Simulate First. Decide Smarter. Digital Twins in Practice [EN]  

Learn about how SAS is harnessing the power of the Unreal Engine to pioneer the future of analytics. Paul Gavin, Head of Games Analytics and Simulation, will first walk through the details of SAS’s client engagement with Sterilcentral, an advanced surgical equipment sterilization facility in Copenhagen. The talk will highlight how a single twin deployment solved multiple business challenges. Paul will then generalize Sterilcentral’s experience to a broad array of industries, including Public Sector, Energy & Utilities, Industrial Safety and more.

Paul Gavin, Head of Games Analytics, SAS
Darek Saunders, Head of Research and Innovation Unit, Frontex

15:55 - 16:40

PANEL DISCUSSION
AI Reality Check: Wins, Losses, and Lessons Learned

Artificial intelligence has firmly established itself across organizations - from sales and marketing to operations, customer service, risk management, and fraud detection. Today, the key question is no longer whether to adopt AI, but how to implement it effectively within specific processes and real business environments. Poland is among the fastest adopters of AI in Europe. However, as highlighted in the IDC report, many organizations still apply AI in isolated use cases, without translating it into long-term operational transformation. This is why practical experience is becoming increasingly important: what truly works in real-world implementations, and what remains only a promise? During this panel, we will give the floor to practitioners - experts who implement AI solutions across various business areas on a daily basis and navigate the real challenges that come with it.

Karolina Bizub, Head of Corporate Technology, ING Bank Śląski
Dariusz Gałęzowski, Director of Data Management Office, Bank Gospodarstwa Krajowego
Monika Książek, ML/AI Competence Center Director, Play
Marek Pyka, Head of Digital Operations, Frontex
Michał Staniszewski, Engineering Manager, Addepto/KMS Technology
Moderator: Miłosz Trawczyński, Poland Country Leader, EMEA Consulting Director, AI & Analytics Practice, SAS