Best Artificial Intelligence Speakers for Insurance Conferences (2026) Your guide to the best artificial intelligence speakers for insurance, with experts who turn AI trends into real carrier results.

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If you’re searching for the Best Artificial Intelligence Speakers for Insurance Conferences, you’re in the right place. This guide is built for carrier and broker executives, underwriting and claims leaders, distribution and field managers, actuarial and data leaders, reinsurers, and insurtech founders who need AI speakers that speak the language of insurance—combined ratio, loss-adjustment expense (LAE), STP, FNOL, leakage control, MRM, explainability, and responsible AI—while giving your teams practical behaviors they can use on Monday.

We analyzed major industry agendas and common planner questions, then combined those insights with TKC’s roster to deliver a research-driven lineup ready for your next event.

Why This Matters Now

AI is reshaping pricing, underwriting, claims, fraud, and customer experience at speed. The Best Artificial Intelligence Speakers for Insurance Conferences don’t just talk technology—they demystify it and connect models to governance, risk, and measurable outcomes (cycle time, CSAT/NPS, leakage, fraud saves, reserve confidence). They help leaders modernize safely, win broker loyalty, and build customer trust.

Choosing the right artificial intelligence speaker for insurance helps teams translate complex models into real operational impact.

What Planners Are Actually Searching For

Event planners looking for an artificial intelligence speaker for insurance typically focus on these priority topics.

• Responsible AI & model governance: MRM frameworks, explainability for UW/claims, bias testing, human-in-the-loop.
• Underwriting triage & pricing: submission prioritization, segmentation, propensity models, portfolio quality lift.
• Claims automation & leakage control: triage, subrogation, fraud scoring, document NLP, straight-through processing.
• Fraud detection & identity: real-time anomaly detection, payments/claims fraud, device/identity trust.
• Agent/broker productivity: AI-assisted prospecting, quoting, service scripts, retention plays.
• CX & retention: digital FNOL, proactive updates, transparent status, simple settlement.
• Regulation & ethics: model inventory, approvals, monitoring, fair and accountable deployment.

Who This Guide Is For

• Carriers (P&C/Life/Group/Health): enterprise leadership meetings, LOB summits, UW & claims forums.
• Brokers & MGAs: producer meetings, regional leadership summits, client conferences.
• Reinsurers: cat risk, portfolio strategy, model governance programs.
• Insurtech: product, GTM, partnerships, and customer days.
• Associations & Events Companies: national conferences, regional roadshows, virtual/hybrid series.

Each group needs an artificial intelligence speaker for insurance who understands their line-of-business realities.

How We Selected the Best Artificial Intelligence Speakers for Insurance Conferences

Each artificial intelligence speaker for insurance on this list blends technical depth with industry fluency.

We prioritized speakers who:

• Bring insurance/financial-services proximity with AI fluency.
• Translate AI into behaviors and guardrails—not buzzwords.
• Offer multiple formats (keynote, fireside, panel, workshop/roundtable).
• Earn repeat bookings and strong ratings.

Tip: Open with a keynote for context (economy, risk, tech), follow with a moderated panel (underwriting + claims + distribution + risk/actuarial + data/IT) to localize lessons, then add a hands-on workshop that produces a 90-day plan with named owners.

Best Artificial Intelligence Speakers for Insurance Conferences: Top Picks (with rationale & signature talks)

Order is alphabetical. Click names for full bios, videos, and availability.

• Adam Cheyer — Co-founder of Siri and Viv; shows carriers and brokers how conversational AI and intelligent automation reduce friction across quoting, service, and claims without breaking compliance. Signature talks: “From IVR to AI: Reimagining FNOL & Service,” “Designing Assistants that Carriers Trust.” Cheyer is frequently booked as an artificial intelligence speaker for insurance organizations looking to modernize service and claims.
• Amy Myers Jaffe — Energy and risk strategist; explains how AI, climate, and supply-chain shocks reshape exposures, pricing, and resilience. Signature talks: “Climate, AI, and the Underwriting Frontier,” “Energy Transitions: Implications for Cat and Specialty Lines.”
• Cassie Kozyrkov — Decision-intelligence pioneer; teaches executives to connect AI to business value, de-risk deployment, and communicate decisions people can trust. Signature talks: “Decision Intelligence for Carriers,” “Explainability that Leaders (and Regulators) Understand.”
• Dr. Gleb Tsipursky — Behavioral-science and change-leadership expert; equips leaders with adoption playbooks so frontline teams embrace AI safely. Signature talks: “Leading AI Change Without Burnout,” “Bias, Trust, and Better Judgement in UW & Claims.”
• Eric Siegel, Ph.D. — Predictive-analytics authority; turns underwriting, pricing, marketing, and fraud models into measurable lift with governance that passes audit. Signature talks: “Machine Learning That Delivers Lift,” “Model Risk: From Lab to Line of Business.”
• Lisa Palmer — Strategy advisor and AI ethicist; practical, compliant model-risk frameworks and human-in-the-loop policies for high-stakes decisions. Signature talks: “Responsible AI for Regulated Insurance,” “Operationalizing MRM Across the Enterprise.”

Comparison Snapshot (at-a-glance)

This grid helps planners compare each artificial intelligence speaker for insurance based on relevance, format, and typical travel routing.

Sample Agenda Blocks (Insurance AI Leadership Day)

Here’s how a full-day insurance AI agenda looks when led by an experienced artificial intelligence speaker for insurance.

Case Studies (talk tracks your audience cares about)

These case studies are commonly requested when hiring an artificial intelligence speaker for insurance transformation sessions.

• Underwriting triage: submission scoring that lifts bind ratio and improves portfolio quality.
• Claims STP: NLP + rules + models to reduce cycle time and leakage while keeping fairness.
• Fraud & identity: real-time detection at FNOL and payments; sharp drops in false positives.
• Agent/broker productivity: AI-assisted quoting and renewal scripts that raise retention.
• Cat/climate exposure: AI-informed resilience planning, reinsurance conversations, and pricing.

Briefing Tips (to get the keynote you want)

Sharing this context ensures your artificial intelligence speaker for insurance can tailor the keynote accurately.

• Share audience mix (UW/claims/distribution/risk/IT) and maturity level with AI.
• Provide objectives & constraints (e.g., regulatory sensitivities, topics to avoid).
• Include current metrics (cycle time, CSAT/NPS, leakage, fraud saves) to tailor examples.
• Decide interaction format (live polling, Q&A, table exercises).
• Request a one-pager of Monday behaviors and a 30/60/90 plan as takeaways.

Relevant Resources on The Keynote Curators

If you need help selecting the ideal artificial intelligence speaker for insurance, explore these related TKC resources.

• Leadership Topic Hub
• Best Finance Keynote Speakers
• Economy Speakers
• Blockchain and Cryptocurrency Speakers
• Artificial Intelligence Speakers
• Customer Experience Speakers
• TKC Podcast
• Get Proposal (availability & fees)

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