Regulations like EU AI Act, FIDA, and DORA are always poised to fundamentally reshape the BFSI sector, introducing a new era of compliance, transparency or opportunity. As these regulations come into force, data leaders must not only ensure adherence but also leverage the changes to drive innovation, customer trust, and operational resilience. Regulatory experts and peers will provide the practical, real-world roadmap for navigating the evolving data landscape, discussing strategies to turn compliance into a competitive advantage and future-proof your initiatives.
Agentic AI is gaining traction in BFSI, but true value realisation depends on robust data foundations and scalable frameworks. This session will guide you beyond the pilot phase, showing how to deliver consistent business impact by layering AI on top of trusted, well-governed data. How do you select pilot use cases that not only deliver measurable results but also enhance your core data assets, ensuring a foundation for future AI scalability?
• Uncover strategies for building repeatable deployment frameworks that are tightly aligned with your enterprise data strategy, enabling sustainable and scalable AI adoption.
• Learn how other data leaders select the right use cases, build repeatable frameworks, balance automation with oversight, and communicate value in business terms.
• Listen to real-world examples of how organisations are balancing automation with human oversight to maintain compliance and trust as they scale agentic AI
• Investigate how to communicate the value of AI in terms of tangible business outcomes, moving the conversation beyond technology wins to enterprise impact.
As boards and regulators demand concrete proof of data reliability before approving decisioning, BFSI organisations must move beyond reactive data quality fixes. This session will showcase modern observability tools and prevention-first frameworks designed for regulated environments. With AI and automation amplifying both opportunity and risk, discuss how observability-first approaches can proactively prove and sustain data reliability.
Not every real-time use case justifies the cost. In this collaborative discussion, share approaches for identifying the right opportunities, managing costs, and delivering timely insights for operational and strategic decision-making.
The claims’ function is ripe for transformation through data and analytics. This interactive discussion will focus on building predictive models, improving customer experience, and reducing fraud — while staying compliant.
Conversational analytics and self-service BI are only possible with robust semantic layers and data catalogues. This session explores the wins and pitfalls of building or expanding foundations, redefining key business terms, and enabling natural language queries. Explore implementation challenges, user training, and the impact on data democratisation strategy.
Data leaders in the sector are under pressure to create unified, governed, and instantly accessible data environments. The rapid rise of real-time settlement networks, AI-driven risk models, and embedded finance platforms means fragmented data is no longer just an efficiency problem it’s a competitive and compliance liability. Unifying data now enables financial organisations to meet regulatory deadlines, accelerate product innovation, and gain a first-mover advantage in an increasingly open and data-driven market.
• Understand how unified settlement data can be strategically applied to increase market share and unlock new revenue streams.
• Discover proven strategies for dismantling fragmented data silos to strengthen security and compliance.
• Hear how other peers have turned rapid insight generation into a competitive advantage in volatile markets.
• Explore frameworks for embedding agility into decision-making processes by centralising and contextualising diverse data sources.
Lightning Debates encourage quick thinking, concise expression, and active engagement. The debates are intellectual sprints, challenging you to articulate viewpoints on controversial issues effectively within tight time constraints. Vote with your feet, choose a side and defend your point of view.
Trading, claims, or payments demand high-performance, secure, and resilient data platforms. This technical showcase session will feature reference architectures for ultra-resilient, compliance-proof BFSI operational systems for audit-ready uptime.
If data unification is about making your data work together, data architecture modernisation is about giving that data the right home to grow, evolve, and deliver value over time. In the sector, scaling isn’t just about handling more transactions, it’s about managing more complexity. Diverse regulatory frameworks, hybrid technology stacks, multi-jurisdictional compliance, and the demands of AI-enabled use cases, join us to hear how other organisations are redesigning their architectures to create a future-proof, performance-optimised environment that supports unification, governance, and innovation at scale.
As data ecosystems grow more complex, the role of the enterprise architect is evolving from technical gatekeeper to strategic orchestrator.
As insurers embrace digital channels and alternative data sources, underwriting is transforming from a slow, manual process to a real-time, insight-driven function. This session explores how data strategy, analytics, and automation can deliver faster, fairer, and more profitable underwriting decisions.
Customer trust hinges on clear, honest communication about how data is used. This collaborative discussion will focus on practical ways to improve transparency without creating unnecessary complexity.
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