Actuarial Technology Summit 2026
Date:
The is a specialized virtual conference hosted by Posit (formerly RStudio)
designed specifically for actuaries, data scientists, and technical leaders in the insurance industry.
Core Focus & Mission
The summit’s primary goal is to help actuarial teams move away from “clumsy legacy tools” and manual spreadsheets toward a code-first environment. It emphasizes:
- Modernizing the Tech Stack: Transitioning workflows to R and Python to improve accuracy and speed.
- Practical Application: Moving beyond hypothetical theories to provide “actionable artifacts”—such as code templates and frameworks—that attendees can use immediately.
- Reproducibility & Governance: Using tools like Posit Connect and Package Manager to ensure models are traceable, auditable, and meet strict regulatory standards.
Key Highlights (2025 Event)
- AI & Automation: A major theme was the integration of AI-driven tooling into the actuarial lifecycle. This included live demos of Positron (Posit’s new IDE), the Positron Assistant for refactoring legacy code, and Databot (AI) for analyzing and documenting datasets.
- Cloud Migration: Sessions addressed the challenges of migrating actuarial workloads to the cloud, an area where the life insurance industry has traditionally lagged.
- Industry Tracks: Specific content for Life, Health, and General Insurance, covering topics like pricing, fraud detection, and loss reserving.
Professional Benefits
- Continuing Education (CE) Credits: The 2025 summit offered over 20 CE credits, making it a vital event for maintaining professional compliance with bodies like the SOA and CAS.
- Networking: Despite being virtual, the event included “Birds of a Feather” networking and community interactions to connect peers across different insurance carriers.
- Scholarship Support: Net proceeds from the event often support scholarship programs for groups like the
- International Association of Black Actuaries (IABA) and the Organization of Latino Actuaries (OLA).
Who Attends?
- Actuaries & Analysts: Those looking to automate repetitive tasks and build more robust models.
- Technical Leaders (CTOs/Chief Actuaries): Executives evaluating how to break down data silos and implement better risk management frameworks.
- Data Scientists in Insurance: Professionals specializing in predictive analytics, GLMs, and machine learning for pricing and claims.
Registration Coming Soon