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Growing financial services with AI: Balancing innovation, quality and compliance

Essential insights for navigating AI transformation

Financial services stands at an inflection point. While vast stores of customer and transaction data present compelling opportunities for AI adoption, the reality demands sophisticated navigation of data quality, governance, and regulatory requirements.

This exclusive report reveals how technology leaders at leading institutions are bridging the gap between AI's transformative potential and the robust quality standards demanded by regulated environments.

Download the report by completing the short form

What you'll learn

Beyond technical implementation: How successful AI adoption requires fundamental shifts in culture, risk management, and operational model
Regulatory navigation: Practical approaches to embracing innovation while satisfying evolving UK governance requirements
Data quality mastery: Strategic methods for overcoming data consistency challenges in AI deployment
Value realisation: Frameworks for delivering genuine business value while maintaining control

Key themes explored

Transforming data advantages into practical AI solutions
Building governance frameworks that enable rather than restrict
Creating the cultural foundations for successful AI adoption
Maintaining quality standards in a heavily regulated environment

Featured contributors

Image of Isabel Palmer

Isabel Palmer

Director of Engineering & Transformation, Experian UK

Image of Vikas Krishan

Vikas Krishan

Chief Digital Business Officer, Altimetrik

Image of Paul Colam

Paul Colam

Head of Operations, GB Bank

Image of Tijo T Joy

Tijo T Joy

CTO, Azur Technology

Image of Dave Kelly

Dave Kelly

CEO, 2i

Image of Pauline Smith

Pauline Smith

COO, 2i

Image of Adam Pettman

Adam Pettman

Head of Innovation and AI, 2i

Download the report by completing the short form

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