The increasing requirement for AI has meant that the insurance industry has become crucially aware of the need to effectively manage unstructured data (documents, emails, claims, etc.) alongside structured data. Join Andrew Smailes as he discusses integrating these two data types to enhance ability across multiple use cases, including customer experience, claims processing, predictive modelling, risk assessment and regulatory compliance. Then, join Joel Lim and delve into the transformative power of AI in insurance, unlocking new customer engagement channels and business models.
Key Takeaways
Data Management and Integration:
- Start with the end in mind: Begin AI projects by defining the wider issues and challenges to ensure that the solutions developed are targeted and effective.
- Emphasise Data Governance: Develop a comprehensive strategy integrating structured and unstructured data as an enterprise asset.
- Clear Communication is Key: To align efforts and maximise the benefits of AI technologies, maintain clear and transparent communication about data management policies and AI project goals across all levels of the organisation.
The Transformative Power of AI:
- How AI can revolutionize customer interactions with insurers
- Key strategic considerations for preparing for an AI-driven future state
- The potential for AI to fundamentally change product engagement through deeper personalisation
Speakers
Joel Lim, Partner, Synpulse Hong Kong
Andrew Smailes, Executive Director, Raedan AI