Carriers face mounting pressure to modernize underwriting technology, but the path forward isn’t obvious. Rip-and-replace implementations take 18–24 months and carry significant risk. Point solutions promise quick wins but create integration nightmares.
Join Datos Insights Senior Principal Subhasis Mukherjee and Convr Co-founder and President Harish Neelamana for a strategic conversation about the data-first approach to underwriting modernization—why architectural choices made today determine whether AI delivers measurable value or gets stuck in pilot purgatory, and how modular adoption strategies enable transformation without disruption.
What You’ll Learn:
- Why data architecture determines AI effectiveness—the difference between systems built on clean, structured ontology versus those retrofitting data later
- Native integration versus bolt-on solutions: how architectural choices impact implementation timelines and long-term flexibility
- Modular adoption strategies that deliver value in 4–7 weeks without forcing complete platform replacement
- How 10 years of commercial insurance data-building creates competitive differentiation
- Real deployment outcomes across different carrier profiles—from middle market to specialty lines
Who Should Attend:
Underwriting, technology, and operations leaders evaluating modernization paths without clear answers on build-versus-buy, integration strategy, or where to start when everything needs improvement.
This isn’t a capabilities demo. It’s a strategic conversation about the architectural foundations that separate incremental improvements from sustainable transformation.
