The increasing demand for relevant, immediate, and interactive customer engagement on a large scale, within a secure and trustworthy environment, is driving the adoption of AI and Machine Learning (ML) applications. These technologies have significant implications for financial institutions in four key areas: marketing and decision making, operational efficiencies, customer experience, and fraud and credit underwriting.
AI and ML models are now being utilized not only for fraud detection and prevention but also in a broader range of use cases that directly impact the customer experience. These models empower banks to achieve cost and time efficiencies. However, many banks face challenges when it comes to scaling advanced AI and real-time capabilities beyond selected use cases, hindering their ability to generate substantial business benefits throughout the organization. This report identifies the key emerging trends and specific use cases in AI and ML adoption within financial institutions, highlights the challenges they face, and outlines a strategic roadmap for scaling the adoption of AI-driven advanced analytics.
Publication date:
May 2023
Delivery:
The file is directly delivered into your account provided soon after online payment is received. The file contains a pdf A4 file (28 pages).
The report includes:
1.Summary of key trends in data analytic in banks
2.Adoption of AI/ML applications and use cases
3.Key challenges and requirements for scaling AI
4.Roadmap to develop advanced AI and ML analytics
This report answers:
1.What are the current trends in AI and Machine Learning in retail banking?
2.How can financial institutions leverage on these capabilities and what are the use cases?
3.What is the impact on business growth and the customer experience?
4. What is the roadmap we see financial institutions take to build AI/ML capabilities?
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Brian Lo is a seasoned risk professional with nearly 30 years of experience across global financial institutions. Based in Hong Kong and Singapore, he has led teams in managing market and liquidity risk, counterparty risk, and asset and liability management. His expertise encompasses quantitative modelling, risk governance, stress testing, and regulatory compliance. Brian has also played a critical role in developing internal risk models, driving strategic initiatives, and advising on cutting-edge risk solutions, including AI and machine learning applications. Throughout his career, he has served on multiple risk committees, providing strategic insights to senior management and boards, and has been instrumental in implementing Basel reforms and risk management innovations. Brian’s approach integrates deep technical knowledge with practical leadership, making him a valuable contributor to banking risk management education and practice.
Urs Bolt is a seasoned professional with over 35 years of expertise in wealth management, investment banking, and technology. He helps individuals achieve financial well-being and advises senior leaders in financial services and technology on refining business strategies, developing markets, and forging impactful partnerships. Recognised as a global thought leader in digital banking, WealthTech, and decentralised finance, Urs is an active speaker, author, and jury member for esteemed awards and panels. A passionate advocate for sustainable progress, he champions energy policies that balance economic growth and ecological preservation through scientific solutions.
Sina is Chief Data Officer at Unique AG – a rising European startup providing a GenAI-driven platform called Unique.AI to better understand customers and build more meaningful client relationships. Unique.AI is a tailored solution for the financial industry that aims to increase productivity by automating manual workload through AI and ChatGPT solutions.
Sina is a proven GenAI and data transformation specialist for financial applications with over 20 years of experience. Before Unique AG, Sina led data strategy projects at Credit Suisse AG and worked as a consultant at Accenture AG. She lectures on GenAI, AI Governance, and Data Protection at top universities like HSG St. Gallen and HEC Paris, inspiring future tech leaders. Sina also mentors startups on GenAI applications and serves on the ISO expert council in Switzerland. She was recently honored with the “Women in Banking and Fintech 2024” award for her Thought Leadership on Data Protection and AI Governance for GenAI applications for Financial Services by Handelsblatt (#1 business newspaper in Germany). Sina holds a PhD in Financial Modeling from the University of St. Gallen (HSG, Switzerland) and a Diploma in Economics from the University of Mannheim (Germany).
John Januszczak is a seasoned fintech leader and the President & CEO of UBX Philippines, the fintech venture studio and fund of Union Bank of the Philippines. He was appointed to this role after joining UnionBank as a Consultant in 2018. Prior to this, he served as the Chief Operating Officer of Manulife Philippines and held leadership roles such as Head of Global Business Process Management at Manulife Financial and Vice President of Product Management at Meta Software Corporation. His extensive experience in operations, technology, and financial services has positioned him as a key driver of digital transformation in the fintech space.
Under John’s leadership, UBX has grown into Southeast Asia’s fastest-growing fintech, building a robust ecosystem that helps startups and fintech founders access expertise, funding, and customers. He has spearheaded the incubation of award-winning ventures such as i2i, SeekCap, and BUX, while also managing a corporate venture fund that successfully invests in and scales fintech startups. By leveraging corporate ecosystems, open finance, and embedded finance, John continues to drive financial inclusion, innovation, and strategic growth in the Philippine fintech landscape.