Malar Kondappan

Artificial intelligence can only create real value when the underlying data, architecture, and governance are ready for it. In this talk, as a system architect I will share practical lessons from experience of designing and leading large-scale insurance platforms at three startup insurance companies, including quoting engines, carrier integrations, and cloud-native lead acquisition systems. Drawing on two decades of experience in insurance technology, I will outline four key prerequisites for successful AI adoption in regulated industries: solid data foundations, modular and API-driven architectures, strong security and compliance practices, and cross-functional teams and processes. The session is aimed at students, engineers, AI practitioners, and business leaders who want a clear, real-world view of how to prepare complex systems for AI at scale.

Biography:

Malar Kondappan is recognized as a Senior Systems Architect specializing in cloud native platforms, secure insurance integration systems, and scalable enterprise APIs. Her work has been highlighted through industry recognition, publications on cloud and security, and community writing that makes complex AI and software architecture approachable for a broad audience.

Address:Richmond, Virginia, United States