Our program agenda will address the following themes:

The Human–AI Operating Model: How roles, workflows, and decision ownership evolve as AI shifts from assistant to autonomous actor.​

Modern Core Agility & Composable Architecture: Transitioning to Skinny PAS architectures, where the core becomes a system of record and decisioning, workflows, and intelligence move to modular workbenches and services. ​

Next-Gen Underwriting & Workbench Transformation: Workbenches become the orchestration layer for people, automation, and AI.​

Safe, Governed & Explainable AI at Scale: Governance, regulatory readiness, and explainability become required AI infrastructure.​

Knowledge & Context as Enterprise Intelligence: How unstructured content, institutional knowledge, and human context enable AI-driven decisions at scale, while helping insurers adapt to a changing workforce.​

Pragmatic Transformation Under Legacy Constraints: Extracting value from today’s core environments through incremental AI adoption, intelligent overlays, and workflow modernization—without waiting for full architectural change.

Tuesday, April 21, 2026
4:00 PM - 6:30 PM
 
 
5:00 PM - 6:30 PM
 
 
6:30 PM - 8:30 PM
 
 
Wednesday, April 22, 2026
7:30 AM - 8:30 AM
 
 
8:30 AM - 8:45 AM
 
Chris Eberly - Datos Insights
8:45 AM - 9:10 AM
 
Tim Baum - Datos Insights
9:10 AM - 9:35 AM
 
Mitch Wein - Datos Insights
9:35 AM - 9:40 AM
 
 
9:40 AM - 10:05 AM
Meredith Barnes-Cook - Datos Insights
Dave Patel - FCCI Insurance Group
Owen Williams - Ascot Group
10:05 AM - 10:30 AM
Subhasis Mukherjee - Datos Insights
Nikolai Lukin - SBLI USA Group
Steve Smith - United Educators
10:30 AM - 10:40 AM
 
 
10:40 AM - 11:00 AM
Paul Mattern & Laurel Jordan – Datos Insights
Tanya Nobile - Knights of Columbus
Chris Eberly – Datos Insights
Robin Merttens - InsTech
11:00 AM - 11:20 AM
Paul Mattern & Laurel Jordan – Datos Insights
 
Meredith Barnes-Cook - Datos Insights
 
11:20 AM - 11:40 AM
Paul Mattern & Laurel Jordan – Datos Insights
 
Carey Geaglone - Datos Insights
 
11:40 AM - 12:45 PM
 
 
12:45 PM - 1:10 PM
 
Lindsay Aenchbacher - Datos Insights
Carey Geaglone - Datos Insights
1:10 PM - 1:20 PM
 
Mitch Wein - Datos Insights
1:20 PM - 1:25 PM
 
 
1:25 PM - 1:45 PM
Paul Mattern & Laurel Jordan – Datos Insights
 
Tim Baum - Datos Insights
Rob Jiang - PwC
Meredith Barnes-Cook - Datos Insights
 
1:45 PM - 1:50 PM
 
 
1:50 PM - 2:10 PM
Paul Mattern & Chris Eberly – Datos Insights
 
Mitchell Wein - Datos Insights
 
Meredith Barnes-Cook & Carey Geaglone - Datos Insights
Sandeep Haridas - IntellectAI
2:10 PM - 2:15 PM
 
 
2:15 PM - 2:35 PM
Paul Mattern & Laurel Jordan – Datos Insights
 
Meredith Barnes-Cook & Mitchell Wein – Datos Insights
 
Tim Baum - Datos Insights
 
2:35 PM - 3:15 PM
 
 
3:15 PM - 4:00 PM
Meredith Barnes-Cook – Datos Insights
Tom Powers - InvoiceCloud
Carey Geaglone and Rachel Kelly - Datos Insights
 
Robin Merttens – InsTech
 
Laurel Jordan & Caitlin Simmons - Datos Insights
 
Ashley Lee & Paul Mattern - Datos Insights
 
4:00 PM - 4:10 PM
 
 
4:10 PM - 4:55 PM
Meredith Barnes-Cook & Tim Baum – Datos Insights
Gayle Herbkersman - Sapiens
Carey Geaglone - Datos Insights
 
Mitchell Wein & Caitlin Simmons – Datos Insights
 
Laurel Jordan & Paul Mattern - Datos Insights
 
Subhasis Mukherjee & Jack Krantz – Datos Insights
 
4:55 PM - 6:00 PM
 
 
6:15 PM - 8:00 PM
 
 
Thursday, April 23, 2026
8:00 AM - 9:00 AM
 
 
Meredith Barnes-Cook & Caitlin Simmons – Datos Insights
 
9:00 AM - 9:30 AM
 
Matthew Palazola - Bloomberg Intelligence
9:30 AM - 9:35 AM
 
 
9:35 AM - 10:20 AM
Chris Eberly - Datos Insights
 
Tim Baum - Datos Insights
 
Jack Krantz & Mitchell Wein - Datos Insights
 
Carey Geaglone - Datos Insights
 
Meredith Barnes-Cook & Paul Mattern – Datos Insights
 
10:20 AM - 10:40 AM
 
 
10:40 AM - 11:25 AM
Meredith Barnes-Cook – Datos Insights
 
Tim Baum & Carey Geaglone - Datos Insights
 
Jeremy Bergsman - Datos Insights
 
Paul Mattern - Datos Insights
 
Mitchell Wein - Datos Insights
 
11:25 AM - 11:30 AM
 
 
11:30 AM - 12:00 PM
Jeremy Bergsman & Kavitha Venkita - Datos Insights