Previous Cognalysis Webinars
- 2022-10: Inflation and COVID Impacts, a Dangerous Combination for Actuaries
- 2022-03: Post-Simulation Modeling
- 2022-01: Read the Room: Selling a Model to a Diverse Group of Stakeholders
- 2021-10: Actuarial Policy Reserves
- 2021-08: Better Internal Management Reporting for P&C Insurers
- 2021-07: The Complement of Credibility in Predictive Modeling (Intentional or Not)
- 2021-06: A Primer on Federal Crop Insurance
- 2021-04: 10 Reasons Why Every Actuary Should Know Python
- 2021-03: Towards A Holistic Approach for Managing Reserve Risk
- 2021-02: Get the Most Out of Your Test Data
- 2021-01: What’s It Worth? Quantifying the Impact of Predictive Models
- 2020-12: Assigning “Minimum Variance” Weights to Reserve Methods
- 2020-11: Identically Distributed? Don’t Bet On It!
- 2020-10: Building a Cloud Data Analytics Platform
- 2020-09: Practical Predictive Modeling for New Modelers (and Their Managers)
- 2020-08: The Biggest Problem With Your Pricing Model…
- 2020-07: ERM: One Actuary’s Perspective
- 2020-06: Data Visualization for Actuaries
- 2020-05: From What to Why: Delivering Meaning From the Model
- 2020-04: Predictive Modeling Targets (You May Not Have Considered)
- 2020-03: Actuarial Case Reserves
- 2020-02: Topic Modeling Using LDA