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SUMMARY:What Needs to Be in Place Before AI: Lessons from Large-Scale Insurance Platforms
DESCRIPTION: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.\nSpeaker(s): Malar Kondappan\nVirtual: https://events.vtools.ieee.org/m/522134
URL:https://svec.org/event/what-needs-to-be-in-place-before-ai-lessons-from-large-scale-insurance-platforms/
LOCATION:Virtual: https://events.vtools.ieee.org/m/522134
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