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.
Tuesday, May 13 – Demystifying
Thursday, May 20 – Search
Tuesday, May 27 – Rules Based AI
Tuesday, June 10 – Unlocking Potential
Tuesday, June 17 – Machine Learning
Tuesday, June 24 – Deep Learning
Tuesday, July 1 – LLMs and Gen AI
Tuesday, July 8 – 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 $3,300 | US $2,750 |
| Group of 12 – full event only | US $6,600 | US $5,500 |
| Group of 18 – full event only | US $9,900 | US $8,250 |
| Group of 24 – full event only | US $13,200 | US $11,000 |
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 provide an introduction to the AI Fast Track bootcamp. |
| 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 explains the evolution of AI search techniques starting from classic search algorithms and advancing to the latest in retrieval-augmented generation (RAG). |
| 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. Reinforcement learning represents a modern evolution of this approach allowing the intelligent agent to learn on their own. This presentation explores this realm of AI with a focus on how the engineering principles used to develop successful agents can be applied to engineer success in our actuarial roles. |
| 4. Unlocking Potential | Josh Meyers | Unlock the Full Potential of Modeling Capabilities
Actuaries have made great strides and investments in developing our modeling capabilities, but we often underutilize the full potential of these capabilities by limiting their application to traditional uses. By unlocking the full potential of modeling, actuaries can create additional value and enhance their effectiveness as business partners. This session focuses on various business problems and demonstrates how, through creative approaches, we can use modeling to unlock new insights and innovative solutions. |
| 5. Machine Learning | Max Martinelli | The Tools of the Trade
Machine learning has revolutionized the actuarial profession, offering powerful tools for predictive modeling, automation and deep analysis. This presentation introduces the history behind learning and the cambrian explosion of paradigms emerging within it. The presentation takes a strong emphasis on Supervised Learning and why Modern GLM Variants and GBMs are so well suited for insurance applications. |
| 6. Deep Learning | Max Martinelli Josh Meyers |
The Digital Pulsing Brain
Deep Learning has been at the center of the generative era of Artificial Intelligence, but it is often conveyed as a black box digital brain. We’ll trace the history of deep learning, break down the general mechanics, but talk about intriguing properties that are often not widely discussed. While most Actuaries won’t be building deep learners, we give a foundation for them to become fluent when discussing their utility. |
| 7. LLMs and Gen AI | Sergey Filimonov | From AI to ROI
This highly practical session is designed to equip you with actionable insights you can implement immediately—whether you're using ChatGPT for the first time or you're already a power user, you'll walk away with valuable takeaways. We cover an overview of AI's current capabilities, practical techniques to enhance workflows, and strategies to address challenges like AI-generated hallucinations—all demonstrated with examples that show how to turn AI innovation into measurable returns in your day-to-day work. |
| 8. Ethics | Max Martinelli Thomas Holmes |
Mind, Model, Morality
Artificial Intelligence and Machine Learning are deeply philosophical disciplines. While these are interesting to discuss, they also present challenges in terms of ethics, judgment and governance. The session introduces the philosophical discussions with a focus on the implications for applying these tools in actuarial settings. This capstone course prepares observers and implementers in applying the lessons from the series in a manner consistent with the Actuarial Standards of Practice. |
