Rachel has over 30 years experience working with data both in architecture and data governance roles. She has been at Bupa for 2 years, with responsibility for our Data and AI Centres of Enablement. Prior to Bupa, she spent many years working in financial services. She is has a strategic focus, working towards making Bupa the most customer centric health company in the world. She is particularly interested in embedding data management and governance into the architecture to drive proactive data management. Our goal is to make sure that we build data management and governance into everything that we deliver, so that we have solid foundation for building our AI capabilities.
Bupa operating in the highly regulated healthcare and finance sectors. In this session, Rachel will share lessons learned from their experimentation with synthetic data in the claims domain. Explore how they are navigating stringent regulations, preserving privacy, and maintaining data fidelity.
- Regulatory Challenges: Discover how Bupa addresses complex compliance requirements while implementing synthetic data solutions
- Privacy-Preserving Techniques: Learn about Bupa's strategies to safeguard sensitive information while reaping the benefits of synthetic data
- Fidelity and Realism: Explore how Bupa ensures synthetic data accurately mirrors real-world claims scenarios
Check out the incredible speaker line-up to see who will be joining Rachel.
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