Welcome to the 2025 ABL Tech Webinar Series

Investing in Longevity: The Rise of Lifespan-Based Financial Strategies

An intro to the concept of longevity risk and how it creates new, alternative asset classes. Breakdown of why this matters for pensions, endowments, and long-term planning.

ChatGPT, Gemini, and Beyond: How Generative AI Is Changing the Game

A side-by-side of popular LLMs like ChatGPT, Gemini, and Claude with examples relevant to public-facing agencies.

From Mortality to Opportunity: Understanding Life Settlement Investing

What are life settlements? How does the market work? And how are investors like pensions and family offices incorporating them into a diversified portfolio?

AI Ethics & Privacy in the Public Sector

A look at transparency, bias, and responsible AI use when dealing with sensitive data like retiree records.

The Case for Uncorrelated Assets in Uncertain Markets

A big-picture view of uncorrelated investments like life settlements, how they behave across market cycles, and why more institutional investors are taking a closer look.

From Paper to Predictive: A Roadmap to Data Modernization for Pension Systems

Education on digitizing legacy systems and building a foundation for intelligent tools.

How Public Agencies Are Preparing for the Next 10 Years of Tech

A high-level panel or trend report exploring how peers are planning for change.

Webinar Agenda 2026

Cybersecurity 101 for Pension Systems

Wednesday, January 14th, 2026 from 2:00 to 2:45pm ET

What every retirement board and staff should know about protecting sensitive data in the age of ransomware and breaches.

The Longevity Economy: Planning for a 100-Year Life

Wednesday, February 11th, 2026 from 2:00 to 2:45pm ET

How longer life expectancy is shifting the landscape for retirement plans, public policy, and investment strategies. What does “financial wellness” mean in a 100-year lifespan?

Understanding Data Quality: The Hidden Cost of Bad Records

Wednesday, March 18th, 2026 from 2:00 to 2:45pm ET

A look into the impact of missing/inaccurate data on decision-making, funding, and audits (without pitching MVerify directly).

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