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October 15th London

EXL

 Join us for an exclusive executive networking dinner exploring how banks can modernise their data foundations, meet evolving regulatory demands and unlock trusted, scalable AI. 

In person

Meet us in London

We'd love to see you!

6:30 - 9:30pm

Bob Bob Ricard City

Level 3, 122 Leadenhall St, London EC3V 4AB
CXC_event_NewYork

About Invitees: This event will bring together leaders across Data & Analytics, Data Strategy, Data Transformation, AI & Data, Customer & Operations, Collections and Business Transformation. 

 

Meet your sponsor

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 59,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXLS

Event sponsored by EXL

Data Readiness to Execute AI and Achieve Regulatory Compliance

As banks accelerate their transformation agendas, data has become the critical foundation connecting regulatory compliance, operational efficiency and AI adoption. Yet legacy environments, fragmented data estates and increasing governance requirements continue to challenge how effectively institutions can access, trust and use their data at scale.

This discussion will explore how banking leaders can strengthen data quality, accessibility, governance and transparency while navigating mounting cost and regulatory pressures. The conversation will examine whether regulation can act as a catalyst for modernisation, how institutions can reduce the duplication and complexity created by legacy technology, and how banks can evolve their data estates without introducing additional cost or operational risk.

With trusted, well-governed data foundations in place, the focus then shifts to AI: how can banks move beyond experimentation and begin executing scalable, trusted AI use cases that deliver measurable business value?

Ultimately, could the combined pressures of cost and regulation provide the acceleration banks need to modernise their data foundations — and unlock AI as the next major opportunity?

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