Financial services increasingly depend on timely, trusted data.

Fraud detection needs relevant signals when they matter. Risk teams need current intelligence. Customer experiences need to respond to changing behaviour. AI applications need reliable enterprise context. Financial markets need data to move efficiently across the systems supporting critical decisions.

Confluent’s Financial Services Leaders’ Summit brings together executives across banking, insurance and financial markets to explore data streaming, AI and data architecture, with the programme centered on the AI-Native Financial Enterprise.

The agenda spans real-time data and AI, risk and resilience, fraud detection, hyper-personalisation, financial data infrastructure, capital markets, and the use of AI agents in financial environments.

Celebal Technologies brings a data, AI and enterprise transformation perspective to these priorities, with financial-services use cases and production-oriented accelerators designed around practical business challenges.

The opportunity goes beyond moving data faster.

Financial institutions need the surrounding data, governance, analytics and AI capabilities to make that data useful across business processes.

Celebal Technologies works across data engineering, data governance, enterprise analytics, AI and modernisation, bringing these capabilities together around industry-specific requirements.

The focus is on helping enterprises move from individual technology initiatives toward practical architectures and use cases that can support their business priorities.