- DAY 1 March 19, 2025
- Insurance Regulation in Asia Pacific 2025
- Future of Insurance in APAC : The Digital and Data Revolution
- Navigating a Disrupted World: Challenges and Growth
- Driving a Data-Driven Culture for Success in the Digital Age
- Navigating the Digital Frontier: Leveraging Data, AI, and Technology for Insurance Growth
- The Power of Collaboration: Building Strategic Partnerships for Success
- Fostering Innovation and Creativity through Collaboration
- Building a Digital Ecosystem for the Future of Insurance
- Insurtech 2.0: Shaping the Future of Insurance
- The New Frontier: Dynamic Data Exchange
- Unleashing the Cloud's Full Potential
- DAY 2 March 20, 2025 TRACK A
- Serving Customers on Their Terms: Adapting to Modern Expectations
- Navigating Digital Transformation to Enhance Customer Experience
- Powered by People, Enhanced by Technology: Transforming Underwriting in the Digital Age
- Embracing a Customer-Centric Approach to Drive Product and Service Evolution
- Actuarial Transformation: Accelerating Changes in Product Innovation and Pricing
- Digital Marketing Innovation: Cost Effective Customer Acquisition
- Leveraging Gen-AI for Customer Acquisition and Engagement
- AI-Powered Engagement: Revolutionizing Customer Interaction in the Age of InsurTech
- Revolutionizing Customer Engagement with Data-Driven Personalization
- Creating an Optimal Omni-Channel Experience with Precise and Powerful Insights
- Maximizing Business Value: Driving Digital Transformation Through Data-Driven Insights
- Disruptive Technologies: Enhancing Current Models Meeting Future Needs
- DAY 2 March 20, 2025 TRACK B
- The Role of Data, Technology & AI in Reshaping Traditional Insurance Models
- Gen-AI: Moving from Hype to High-Impact Reality
- Building a Successful Gen AI Strategy for the Future of Insurance
- Harness AI, Automation, and Digitization to Make Claims a True Competitive Advantage
- The Unseen Risks in The Digital Underwriting Process
- Guarding Against Insurance Fraud in the Digital Era
- Case Study:Data Analytics and Machine Learning in Fraud Detection
- Data Protection in Insurance: Compliance Requirements for the Insurance Companies
- Applications for On-premise Data Security in the Insurance Industry
