Event Details
About This Event
This virtual bootcamp & cohort led by the Actuarial Data Science team at Akur8, demystifies AI and leverages your existing skills to explore transformative applications in actuarial science. Over eight comprehensive sessions, you will gain practical insights into key AI techniques and discover how to integrate them into your workflow to enhance efficiency and innovation.
Join the inaugural iCAS AI Cohort and earn a Certificate in Advanced AI for Actuarial Science. As a Cohort member, you'll benefit from five years of ongoing support, resources, and a network to stay ahead in the evolving AI landscape. Don’t miss this opportunity to lead in your field, implement cutting-edge solutions, and position yourself at the forefront of the AI revolution.
This virtual bootcamp & cohort is held 2 – 3:30 pm ET on scheduled days. Registered members have access to course recordings. Each Cohort is limited to 200 members.
Wednesday, February 19 – Demystifying
Thursday, February 20 – Search
Tuesday, February 25 – Rules Based AI
Thursday, February 27 – Unlocking Potential
Tuesday, March 4 – Machine Learning
Tuesday, March 18 – Deep Learning
Tuesday, March 25 – LLMs and Gen AI
Tuesday, April 1 - Ethics
Casualty Actuarial Society's Envisioned Future
The CAS will be recognized globally as the premier organization in advancing the practice and application of casualty actuarial science and educating professionals in general insurance, including property-casualty and similar risk exposure.
Continuing Education Credits
The CAS Continuing Education Policy applies to all ACAS and FCAS members who provide actuarial services. Actuarial services are defined in the CAS Code of Professional Conduct as "professional services provided to a Principal by an individual acting in the capacity of an actuary. Such services include the rendering of advice, recommendations, findings or opinions based upon actuarial considerations". Members who are or could be subject to the continuing education requirements of a national actuarial organization can meet the requirements of the CAS Continuing Education Policy by satisfying the continuing education requirements established by a national actuarial organization recognized by the Policy.
This activity may qualify for up to 9 CE credits for CAS members. Participants should claim credit commensurate with the extent of their participation in the activity. CAS members earn 1 CE credit per 50 minutes of educational session time, not to include breaks or lunch.
Note: The amount of CE credit that can be earned for participating in this activity must be assessed by the individual attendee. It also may be different for individuals who are subject to the requirements of organizations other than the American Academy of Actuaries.
Virtual Workshop Recordings
Recordings of this event are available to attendees on the event community for five years.
Technical Specifications
This event will be held on Microsoft Teams. For the best experience it is recommended that attendees download the Teams desktop app. Attendees may also use the web version of Teams through the following compatible browsers: Chrome, Safari, Firefox, and Microsoft Edge. Teams is not supported in Internet Explorer 11 or Opera.
Accessibility
The CAS seeks to do its utmost to provide equal access to participants with disabilities in accordance with State and Federal Law. Please refer to our Accessibility page for more information.
Speaker Opinions
The opinions expressed by speakers at this event are their own and do not necessarily reflect the opinions of the CAS.
Contact Information
For more information on content, please contact Alicia Burke, iCAS Director of Portfolio and Product Development at aburke@casact.org.
For more information on event logistics or attendee registration, please contact Leanne Wieczorek, Meeting Services Manager at lwieczorek@casact.org.
For more information on other CAS opportunities or regarding administrative policies such as complaints and refunds, please contact the CAS Office at (703) 276-3100 or office@casact.org.
| CAS or iCAS Member, CAS Candidate | $550 |
| Non-Member | $750 |
Each Cohort is limited to 200 participants
When registering for this event online, please select your reg type to see the event fees available.
Group registrations are available, see details below.
Note: When registering for this event online, please select your reg type to see the event fees available.
Academic Central Registration
Members of CAS Academic Central may register at no-fee as part of the CAS Academic Central Program. Registration for this virtual seminar will count as one (1) of the three (3) complimentary national CAS meetings or seminars registrations allotted per year. This fee is limited to Academic Central Members. Contact Margaret Gaddy at mgaddy@casact.org to request assistance with registration
Cancellation Information
Registration fees will be refunded for cancellations received in writing at the CAS Office via email, refund@casact.org, two weeks prior to the start of the course. Cohort 2 is non-refundable due to the short registration timeline. Cohort 3 by April 29, 2025 less a $200 processing fee.
For Cohort 3, all GROUP registrations must be received by April 29, 2025 at 11:59 p.m. ET.
If you are interested in registering six (or more) of your employees for the full AI Fast Track Seminar, the CAS is offering group discount pricing as listed below! Please note that the only discount will be for the full event, though it will apply to both members and non-members
GROUP REGISTRATION
| QUANTITIES | NORMAL PRICE | DISCOUNTED PRICE |
|---|---|---|
| Group of 6 – full event only | US $2,350 | US $2,000 |
| Group of 12 – full event only | US $4,450 | US $3,750 |
| Group of 18 – full event only | US $6,500 | US $5,500 |
| Group of 24 – full event only | US $8,650 | US $7,250 |
ACADEMIC CENTRAL REGISTRATION
Members of CAS Academic Central may register at no-fee as part of the CAS Academic Central Program. Registration for this virtual seminar will count as one (1) of the three (3) complimentary national CAS meetings or seminars registrations allotted per year. This fee is limited to Academic Central Members. Contact Margaret Gaddy at mgaddy@casact.org to request assistance with registration
Cancellation Information
Registration fees will be refunded for cancellations received in writing at the CAS Office via email, refund@casact.org, two weeks prior to the start of the course. Cohort 2 is non-refundable due to the short registration timeline. Cohort 3 by April 29, 2025 less a $200 processing fee.
The Actuarial Data Science team at Akur8
Max Martinelli is an Actuarial Data Scientist for Akur8. He has a decade of experience in actuarial and data science roles, working primarily in predictive modeling for P&C insurance. He has a background in machine learning and computational mathematics. When he isn’t helping Akur8 clients get the most out of their data, he can be found working on STEM projects with his sons.
Josh Meyers is a Fellow of the CAS and an Actuarial Data Scientist at Akur8. In his role, Josh works with clients helping them use models to solve business problems and gain insights with Akur8's software. Prior to joining Akur8, Josh worked at a large insurer where he held various pricing and modeling roles. He graduated from Brigham Young University with Master of Science in Statistics and a Bachelor of Science in Statistics.
Tom Holmes is Akur8’s Chief Actuary for the US region and is a co-author of the upcoming publication Penalized Regression and Lasso Credibility. He has experience modeling personal and commercial insurance, and volunteers with the CAS on predictive modeling topics. He is a frequent presenter at CAS events and Akur8 webinars, and performs industry outreach to share actuarial modeling methodologies and best practices. Tom is a Fellow of the CAS and holds music degrees from the University of Michigan and Ohio University.
Sergey Filimonov (coming soon)
| SESSION | SPEAKER | TOPICS COVERED |
|---|---|---|
| 1. Demystifying Artificial Intelligence | Max Martinelli Josh Meyers |
Dispelling Myths and Identifying Transformative Applications in Actuarial Work In an era of inflated buzz around artificial intelligence, it becomes essential to discern hype from genuine breakthroughs. This presentation demystifies AI, clarifying that at its core, it's a collection of sophisticated algorithms. We will disentangle fact from fiction and spotlight truly transformative applications, providing a grounded perspective on how AI can genuinely revolutionize actuarial practice. Learning Objectives:
|
| 2. AI Search Techniques | Max Martinelli Sergey Filimonov |
From Classical Search to Retrieval-Augmented Generation Search algorithms form the bedrock of artificial intelligence, powering everything from simple queries to complex decision-making processes. This presentation delves into the evolution of AI search techniques, starting from classic search algorithms and advancing to the latest in retrieval-augmented generation (RAG). By understanding these methods, we can appreciate their applications and impact on actuarial science and beyond. This comprehensive overview will empower actuaries to harness these techniques in optimizing their workflows and enhancing predictive models. Learning Objectives:
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| 3. From Rules Based AI | Josh Meyers | The Role of Domain Knowledge in Rules-Based AI and Reinforcement Learning
Rules-based AI has long been a cornerstone of artificial intelligence, allowing us to encode domain knowledge into intelligent agents through explicit rules and logic. By leveraging knowledge engineering, we can create powerful systems that make decisions based on well-defined criteria. However, reinforcement learning represents a modern evolution of this approach. Instead of manually encoding rules, we engineer agents to learn optimal behaviors by interacting with their environment and receiving rewards that reflect our domain knowledge. This presentation explores the relationship between these methodologies, highlighting how they can be applied to solve complex problems in actuarial science and beyond. By understanding the strengths and applications of both approaches, actuaries can drive innovation and improve decision-making. Learning Objectives:
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| 4. Unlocking Potential | Josh Meyers | Coming Soon
Learning Objectives: Coming Soon |
| 5. Machine Learning | Max Martinelli | Coming Soon
Learning Objectives: Coming Soon |
| 6. Deep Learning | Max Martinelli Josh Meyers |
Coming Soon
Learning Objectives: Coming Soon |
| 7. LLMs and Gen AI | Sergey Filimonov | Coming Soon
Learning Objectives: Coming Soon |
| 8. Ethics | Max Martinelli Tom Holmes |
Coming Soon
Learning Objectives: Coming Soon |
