Session 1: Innovation & Strategic Transformation
09:00–09:10 | Market Overview
- Strategic innovation trends across financial services and beyond: platformization, ecosystem partnerships, venture models
- Shifting priorities in European boardrooms: from digital pilots to scalable transformation
- Role of regulation and policy in enabling or constraining innovation (e.g. AI Act, Digital Operational Resilience Act)
09:10–10:30 | Presentations
- Strategic Innovation in a Post-Digital Era
• Reframing innovation strategy: beyond digitization to new business models, ecosystems, and co-creation
• Case studies of how incumbents are innovating their value chains, customer experiences, and product lifecycles
- AI as an Innovation Catalyst
• Where AI is reshaping strategy: customer intelligence, product design, pricing, and service delivery
• Balancing generative AI potential with operational, ethical, and legal challenges
- Innovation Governance & Operating Models
• From innovation labs to embedded innovation: building cultures, KPIs, and structures that support experimentation and scalability
• Venture arms, partnerships, and regulatory engagement as strategic tools
- Data-Driven Innovation
• The strategic value of data: how analytics, real-time insights, and unified data architectures are enabling faster innovation cycles
• Data monetization strategies, cross-border data regulation, and internal capability gaps
- Sustainable Innovation & Purpose-Driven Strategy
• Aligning innovation efforts with ESG goals, customer trust, and long-term resilience
• Impact of green regulation and ethical tech frameworks on innovation roadmaps
10:30–11:00 | Panel Discussion
Theme: “From Ambition to Execution – What Makes Innovation Stick?”
Topics:
- What does real transformation look like beyond digital upgrades?
- How are leading firms integrating AI without losing sight of strategy or purpose?
- What innovation governance models are succeeding in regulated sectors?
Session 2: Digital Transformation & the Data-Driven Enterprise
12:00–12:10 | Market Overview
- The maturity gap in digital transformation: 80% of European institutions have digital strategies, but only 30–40% see enterprise-wide results
- Investment trends: cloud migration, real-time analytics, AI at scale, and orchestration platforms
- Barriers: data fragmentation, legacy integration, regulatory constraints, change fatigue
12:10–13:30 | Presentations
- Transformation Strategy: From Digital Projects to Platform Thinking
• Moving from siloed digitization to holistic transformation
• How leading firms are rearchitecting core platforms, experiences, and service layers
- Building a Scalable Data & Analytics Foundation
• Designing for data quality, governance, interoperability, and real-time insight generation
• From data lakes to smart fabric: modern architectures that enable AI and automation
- AI-Powered Process Redesign & Intelligent Automation
• Leveraging AI and ML to transform operations, decision-making, and client service
• Combining automation (RPA) with predictive and generative intelligence
- Organisational Change & Culture in Transformation Programs
• Why most transformations fail internally: resistance, leadership gaps, and misaligned incentives
• Case-based insights on driving cross-functional adoption, agile delivery, and trust in technology
- Compliance, Risk, and Data Ethics in AI-Led Environments
• EU AI Act, DORA, GDPR: balancing innovation with governance in AI/analytics-heavy operations
• Practical frameworks for responsible data use and explainability
13:30–14:00 | Panel Discussion
Theme: “What Separates Digital Leaders from Digital Strugglers?”
Topics:
- Data-first vs. tech-first: where do most get it wrong?
- How do you evolve governance without stifling agility?
- What are the signals of a successful transformation 18–24 months in?
Session 3: Security, AML & Fraud – Defending the Digital Enterprise
15:00–15:10 | Market Overview
- The risk landscape is evolving rapidly: fraud now occurs at machine speed, with AI increasingly used by both attackers and defenders
- Regulatory pressure is increasing: EU AML Authority (AMLA), new KYC requirements, and real-time monitoring expectations
- Institutions are pivoting from reactive controls to proactive, AI-powered, and intelligence-driven risk strategies
15:10–16:30 | Presentations
- AI-Powered Fraud Detection & Adaptive Risk Models
• Real-time behavioural analytics, machine learning ensembles, and continuous learning for fraud prevention
• Detection of emerging fraud typologies: impersonation, social engineering, synthetic ID, and account takeover
- Next-Generation AML & Transaction Monitoring
• From rules-based systems to dynamic, AI-assisted risk scoring
• NLP and graph analytics in identifying hidden networks and suspicious flows
• Transitioning to unified FCC (Financial Crime Compliance) platforms
- Cybersecurity in the Age of Generative AI
• Deepfake detection, LLM abuse monitoring, and protecting internal models
• Securing model endpoints and data pipelines in AI-enabled environments
- Digital Identity, KYC & Real-Time Verification
• The rise of biometric authentication, identity orchestration platforms, and privacy-aware verification
• How zero-trust principles are being applied to onboarding and transaction flows
- Compliance Technology & Regulatory Intelligence
• Automated screening, perpetual KYC, and real-time regulatory change monitoring
• How RegTech and SupTech are reshaping AML obligations and regulator engagement
16:30–17:00 | Panel Discussion
Theme: “From Controls to Intelligence – The Future of AML & Cyber Defense”
Topics:
- Can AI eliminate false positives without raising risk exposure?
- What’s realistic for real-time AML in a regulated environment?
- How are teams blending cyber, fraud, and compliance to create a unified defense architecture?
