While leading financial institutions are rapidly integrating GenAI into operations to enhance efficiency, challenges in model reliability, data integrity, and compliance hinder implementation and scalability.
While leading financial institutions are rapidly integrating GenAI into operations to enhance efficiency, challenges in model reliability, data integrity, and compliance hinder implementation and scalability.
China’s retail banking sector faces regulatory and macroeconomic pressures that are lowering revenues and profits, with banks turning to AI and technology to boost growth and customer engagement
Banks have been investing in AI over the last few years, focusing on specific use cases. They must now scale AI across their business processes and incorporate emerging advancements in GenAI.
According to a TABInsights survey on technology investment, FI in APAC prioritise data management, advanced analytics and digital banking capabilities
Financial institutions are accelerating the use of artificial intelligence, but they need to address key data challenges in scaling capabilities to develop the right technology framework, while also adhering to compliance requirements
Banks have implemented chatbots for operational efficiency and improved customer access, but new AI capabilities expose key gaps in contextual and cognitive capabilities of current bots
While some banks have increased the use of AI in personalising services, marketing and risk management, legacy systems struggle to leverage and scale it effectively, and financial institutions must rethink technology frameworks to move towards AI-driven organisations
Exponential leaps in artificial intelligence and its rising adoption in the financial services industry mean that some risks need to be assessed and managed along the way
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.