The AI Revolution in Digital Banking
#LevelUPwithAI webinar seeks to shine a light on how Explainable AI (XAI) can empower your bank to provide the seamless hyper-personalised user journeys, that today’s customers expect, and deliver the critical data-driven insights necessary to win the trust of customers and regulators alike.
In this webinar, you will hear about:
- Why XAI is critical in banking and financial services
- How AI can digitize banks’ lending process in times of crisis and uncertainty in APAC to meet customers’ needs
- How Azur Underwriting tackled inefficiencies through XAI that enabled real-time pricing and risk management
Chee Kiat Loy
Principal Solutions Consultant, Data Lake | Analytics | XAI, Temenos
Chee Kiat is a principal solutions consultant at Temenos specialising in data and analytics. Prior to joining the financial technology industry, he manages decision science units at tier-1 banks delivering analytics-driven business values in the areas of credit risk management, wealth, lending as well as portfolio management.
Chief Data Officer, Azur Underwriting
Lara is Chief Data Officer at Azur responsible for data analytics and business intelligence extracting the most valuable insights to aid segmentation, price differentiation and drive profitable growth in the insurance portfolio. Also management of Azur data enrichment and data science partners including the implementation of augmented underwriting as an integral part of the underwriting process
Director, FSO Data & Analytics, Ernst & Young Advisory
Nitin heads the Data & Analytics practice for EY SG. He has sixteen years of experience and his core areas of focus are AI/ML, data governance, data usage (BI & Analytics), data architecture & management, data quality and data migration. He has successfully led a number of large scale transformation projects across financial services clients in the region across risk, regulatory & compliance, health claims transformation, advanced analytics solutions catering to turn-key program and change management cutting across multiple functional lines. His interest lies in applying thick data, deep data and AI for innovation in financial services offering.