CDAO Insurance schedule

• Identifying fraud patterns using advanced analytics techniques  

• Optimizing pricing strategies through data-driven risk assessment 

• Fostering a data-driven culture across insurance functions 

Panelists:   
Kevin Nickerson, AVP, Analytics and Sales Enablement, CHUBB
Matthew L. Montero, Chief Data Officer, GENERAL REINSURANCE CORPORATION
Mark McLaughlin, Director of Insurance, IBM 
Moderated by:
Jeannie Furlan, VP, Financial Data & Analytics Strategy, MUTUAL OF OMAHA

In this provocative keynote, we’ll unpack what it really takes to turn data into value. Through four bold truths, you’ll get a front-row seat to the uncomfortable – and necessary – shifts D&A leaders must make to be successful:
•    You’re in a toxic relationship…with data
•    Spoiler alert: Data isn’t the most important part of your data strategy
•    Ready or not, AI is coming for you
•    It’s not the data. It’s you
If you’re ready to stop blaming technology and start leading the change, this is where it begins.

As insurers accelerate AI, automation, and advanced analytics, data quality directly affects financial risk and operational performance. In this keynote, we’ll discuss how proactive, augmented data quality helps insurers move from reactive cleanup to trusted, scalable decision-making. Attendees will learn:

• How insurers prevent data issues before they impact underwriting, claims, and reporting
• Why shared ownership between business and data teams is critical for scale and compliance
• Practical lessons for building trusted data foundations that support AI and analytics

Norma Anderson, Head of Data Governance,

MAPFRE 

Gorkem Sevinc, Co-founder and CEO,

QUALYTICS

• Criteria for evaluating and selecting high-impact data projects  

• Role of executive sponsorship in driving data strategy  

• Frameworks for linking data investments to insurance KPIs 

Panelists:   
Chetan Desai, Head of Data Governance and Operations, GUARDIAN LIFE
Matthew L. Montero, Chief Data Officer, GENERAL REINSURANCE CORPORATION
Moderated by:
Jeannie Furlan, VP, Financial Data & Analytics Strategy, MUTUAL OF OMAHA

• Establishing robust data governance frameworks for AI enablement 

• Eliminating data silos to enable seamless data integration  

• Ensuring data lineage and traceability for transparency and compliance 

• Monitoring and maintaining data health to support scalable AI adoption 

• Embedding data-driven decision-making into daily operations  

• Defining clear roles and responsibilities for analytics functions  

• Investing in upskilling and reskilling across all levels of the workforce 

Rita Fuller, CVP, Center for Data Science and Artificial Intelligence,

NEW YORK LIFE INSURANCE COMPANY

Melissa Wood, Vice President Change Management and Organizational Development,

NEW YORK LIFE INSURANCE COMPANY

•    Leveraging AI to enhance underwriting accuracy and risk assessment 
•    Integrating unstructured data for deeper insights and predictive modeling 
•    Automating claims processing to reduce turnaround time and improve customer experience 

• Reducing fraud and operational inefficiencies through advanced analytics  

• Empowering business users with self-service analytics tools 

• Integrating analytics into core insurance functions like underwriting, claims, and pricing 

Panelists:  
Anuj Gupta, VP - Group Enterprise Data, ARGO GROUP
Craig D'Rozario, Senior Director of PMO, CURE AUTO INSURANCE
Nishit Dhilen Mehta, Vice President, Analytics Solutions Manager, JP MORGAN CHASE
Moderated by:
Jeannie Furlan, VP, Financial Data & Analytics Strategy, MUTUAL OF OMAHA

• Detecting fraud early by using anomaly detection and network analysis techniques
• Ensuring regulatory compliance when using customer and third-party data
• Personalizing pricing and coverage through granular risk segmentation