Data & intelligence in insurance is the practice of collecting, structuring, and activating internal and external data — through analytics, real-time pipelines, and unified platforms — to sharpen underwriting, claims, portfolio management, and distribution decisions. Insurers use data & intelligence to break down silos, improve visibility, and improve loss ratios while building the foundation for AI and automation. Explore use cases, expert speakers, and related sessions at ITC Vegas 2026.

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Reviewed by Patti Harman, updated August 2026

USE CASES (opens in a new tab)
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DATA & INTELLIGENCE AT ITC VEGAS (opens in a new tab)
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Where data & intelligence is used in insurance

The main areas where carriers, MGAs, and insurtechs are putting data & intelligence to work today. 

Underwriting & risk data

Enriched, real-time risk data that sharpens pricing accuracy and speeds up submission review.

Claims data & analytics

Structured, connected claims data that speeds triage, reduces leakage, and surfaces hidden risk.

Portfolio intelligence

Real-time visibility into risk concentration, exposure, and performance across the book. 

Customer & behavioral data

Unified policyholder data that powers personalization, retention, and lifetime value modeling.

Distribution & market data

Signals that sharpen lead scoring, appetite matching, and broker-carrier placement.

Data infrastructure & governance

The pipelines, quality controls, and architecture that make data trustworthy and usable at scale.

Benefits

  • Faster, more confident decisions across underwriting, claims and distribution 

  • A stronger data foundation for AI and automation initiatives

  • A unified view of the business across previously siloed systems 

  • More accurate pricing and risk selection 

Risks and governance

  • Data quality, completeness, and consistency across sources 

  • Governance and accountability for data-driven decisions 

  • Integration across legacy systems and modern platforms 

  • Privacy, security, and responsible use of third-party data 

Data & intelligence in insurance at ITC Vegas 2026

See the topic come to life across the Main Stage, Summits and the Expo Floor. These are just some of the sessions focusing on data at ITC Vegas. 

SESSIONS ON THIS TOPIC

Data
AI strategic trends and operational insights: How technology continues to reshape our industry
Day 2 · Session
Data
Parametric insurance: How AI, data, and distribution are redefining resilience
Day 1 · Session
Data
Connected intelligence: Advancing claims & fraud strategy in a networked world
Day 1 · Session
Data
From insight to impact: Winning in commercial lines with data and analytics
Day 1 · Session

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SPEAKERS ON THIS TOPIC

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Speaker profile image for Kristen Elliott

Kristen Elliott

Director, NF Shared Portfolio, Nationwide Insurance
Speaker profile image for Jeremy Jawish

Jeremy Jawish

Co-Founder & CEO, Shift Technology
Speaker profile image for Peter Settel

Peter Settel

President & CEO, Bold Penguin
Speaker profile image for Helene Wirth

Helene Wirth

Director, Innovation Execution, Nationwide Insurance

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    SOLUTIONS ON THE EXPO FLOOR

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    What comes next for data & intelligence in insurance

    The next phase of data & intelligence in insurance is less about collecting more data and more about ensuring the data insurers already have is trustworthy, connected, and usable in real time. Carriers and MGAs are shifting from siloed reporting toward unified data layers that feed underwriting, claims, and distribution simultaneously — the same infrastructure that agentic AI and automation depend on to make defensible, auditable decisions. 

    Expect continued investment in data governance, real-time portfolio visibility, and third-party data integration, alongside growing scrutiny of data quality as the limiting factor on how far AI initiatives can scale.

    Frequently asked questions

    Data & intelligence in insurance refers to how carriers, MGAs, and insurtechs collect, structure, and activate data — internal and external — to improve underwriting, claims, portfolio management, and distribution decisions. It includes data infrastructure, analytics, and real-time pipelines that turn raw data into usable insight.

    Underwriters use enriched risk data — property, health, behavioral, or third-party sources — to price more accurately, speed up submission review, and reduce manual intake work. Real-time data enrichment is increasingly replacing static, point-in-time risk questionnaires.

    Data & intelligence is the foundation — the data quality, structure, and infrastructure an insurer has in place. AI is a layer built on top of that foundation, using models to automate decisions and workflows. Strong AI outcomes depend on strong data & intelligence practices underneath them.

    Explore data-focused sessions across the AI-Powered Insurance Innovation Summit, Commercial & Specialty Lines Summit, Health Connect Summit, Capacity Connect Summit, and the ITC Solutions Stage. Visit the full 2026 agenda and filter by the Data & Analytics keyword tag. 
    Patti Harman

    Patti Harman, Head of Content
    Reviewed and updated August 2026. This page is refreshed each edition as the agenda and speakers are confirmed.
    Learn about Patti