The CAS Institute

The final day to register for Exam 3: Predictive Modeling – Methods and Techniques is November 12. Don't miss this opportunity to advance your CSPA credential and deepen your expertise in predictive analytics. Why take Exam 3? ➡ Master advanced statistical analysis and predictive modeling techniques. ➡ Gain insights into multivariate regression and machine learning applications. ➡ Enhance your skills to meet the demands of today's data-driven insurance industry. 🗓 Exam Date: Thursday, November 14 🔗 Register by November 12: https://lnkd.in/ew6hS5BM Want to learn more becoming a Certified Specialist in Predictive Analytics? Visit our site, https://lnkd.in/dxChE_x7 to learn about the CSPA credential and waivers available to qualified candidates.

With climate change, inflation, and rising reinsurance costs reshaping the insurance landscape, modernizing rate plans in homeowners insurance has become essential. In this paper commissioned by ZestyAI, Nickolas A. Alvarado, FCAS, CSPA, MAAA, and fellow CAS member Annie Yanjun Shen, FCAS, MAAA, discuss how improved risk segmentation and sophisticated rating models can help insurers better predict and price risks, addressing both frequency and severity at the property level. https://lnkd.in/eYysj-TS #Insurance #DataScience #RiskModeling #PredictiveAnalytics #ClimateRisk #ActuarialScience #iCAS #CSPA

Upcoming Exam Date: Don’t miss your opportunity to advance your CSPA journey! Registration for Exam 3: Predictive Modeling – Methods and Techniques is now open through November 12 with the exam offered on Thursday, November 14. https://lnkd.in/ew6hS5BM

As the EU prepares to implement its AI Act, a new tool from Swiss startup LatticeFlow AI, in partnership with ETH Zurich and INSAIT, is offering tech companies a way to test their AI models for compliance. The LLM Checker evaluates generative AI models in categories like technical robustness, safety, and bias. While some models performed well, the results also highlighted key areas where improvement is needed for major tools such as ChatGPT. Fines for non-compliance could reach 35 million euros. Read more to explore how AI companies can prepare for the future of compliance - https://lnkd.in/gk_ApviM #AI #GenerativeAI #DataScience

We are heading to Orlando this March for Community of Practice! We are accepting presentation proposals for the iCAS Community of Practice during the Ratemaking and Product Modeling Seminar in Orlando, Florida, March 9-12, 2025. Let us know your idea: https://lnkd.in/ezRBHtrd Submission Deadline: November 11th This is a unique opportunity for anyone in predictive analytics or data science—you don’t need an actuarial credential to present! If you’re part of an actuarial modeling or data science team working on cutting-edge analytics, this is the perfect venue to share highly technical insights that might not fit at other events. So, if you or someone on your team is driving innovation in AI, predictive modeling, InsureTech, or emerging trends in data science, we want to hear from you! Pass along the call for presentations and help us bring fresh perspectives to our Community of Practice. #iCAS #PredictiveAnalytics #PredictiveModeling #PCInsurance

Advances in AI and deep learning are transforming the actuarial field, offering new opportunities to enhance tasks like pricing, reserving, and automation. But how can actuaries leverage AI to build more accurate models, incorporate diverse data sources, and create value for society? 🔗 Read more about the AI-enhanced future of the actuarial profession - https://lnkd.in/gnbqNN2M #AI #ActuarialScience #Innovation #DataScience #Insurance #AIinInsurance #iCAS

Volunteer Spotlight: Jay Call In one year as a volunteer, Jay Call, ACAS, CSPA, CPCU, has made a meaningful impact as part of the CSPA Project Committee, and his contributions have supported the growth and success of candidates pursuing a career in predictive analytics. Jay’s dedication is a great example of how even new volunteers can make a big difference. Want to be a part of initiatives around AI, predictive modeling, and predictive analytics? Contact Colton Needles at [email protected] to learn more about opportunities within iCAS.

Due to unprecedented demand, our inaugural AI Fast Track Bootcamp and Cohort has officially sold out! This one-of-a-kind program, designed specifically for P&C insurance professionals, brings together the brightest minds to master the latest AI technologies shaping the industry. 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬 𝐢𝐬 𝐚 𝑷𝒂𝒔𝒔𝒊𝒐𝒏 𝐚𝐭 𝐢𝐂𝐀𝐒, and we’re already working on launching a second cohort. Be among the first to know about upcoming dates—simply share your email in the link below, and we’ll reach out as soon as we have dates. Join us in taking the next big step in AI for P&C insurance. Together, we’re shaping the future of insurance innovation. 🔗 Stay in the loop: https://lnkd.in/e-Uq_tWf #AIinInsurance #P&CInsurance #ProfessionalDevelopment #AIFastTrack #InsuranceInnovation #iCAS

𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 𝐢𝐧 𝐏&𝐂 𝐈𝐧𝐬𝐮𝐫𝐚𝐧𝐜𝐞 – 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐓𝐚𝐤𝐞 𝐘𝐨𝐮𝐫 𝐒𝐤𝐢𝐥𝐥𝐬 𝐅𝐮𝐫𝐭𝐡𝐞𝐫? If you’re working in P&C insurance as a data scientist, underwriter, or analyst, iCAS is here to support your growth with tailored credentialing programs and courses designed for professionals like you. Whether you're just starting out or looking to advance to the next level, iCAS offers resources designed to propel your career in a rapidly changing industry. Ready to learn more? 🔗 Explore programs that put you ahead: https://lnkd.in/ewpHeBsF #AnalyticsProfessionals #PredictiveAnalytics #CatastropheRisk #AIinInsurance #iCAS

The P&C insurance industry is facing unprecedented challenges—AI-driven behavioral insights might be the solution. In this article, Devyn McNicoll, ACAS, CSPA, MAAA, explains how AI can transform risk assessment by harnessing detailed behavioral data, helping insurers make smarter, more targeted decisions. Learn why person-level behavioral data is the key to improving profitability and navigating market volatility. https://lnkd.in/emeTs6Zt