Demystifying Artificial Intelligence
Join us on June 26th at 12 PM EST to see Max Martinelli and Josh Meyers, Actuarial Data Scientists at Akur8, host an upcoming Akur8 Academy Webinar, "Demystifying Artificial Intelligence." 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 such as the Akur8 grid search, providing a grounded perspective on how AI can genuinely revolutionize actuarial practice.
Register
Our team will contact you with the event details.
Register
You’ll be contacted back by our team to receive the invitation and the event details.
Learn more about the speakers
Max Martinelli joined Akur8 as an Actuarial Data Scientist in 2023. He works with clients to ensure they get the most out of Akur8's transparent machine learning software. This ranges from actuarial modeling advice to collaborating on how an insurer can get the most out of their data. Before this, Max worked in various actuarial and data science roles at Allstate for nearly 8 years. He has worked on auto, property and specialty lines with a broad scope of projects. These ranged from traditional actuarial indications to price optimization to cutting-edge high-fidelity telematics models. His work spanned from production grade models to rapid research models to further Allstate's pricing sophistication with extensive use of GLMs, GLMnets, GBMs and Bayesian GLMs.
Josh Meyers is 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 spent five years at The Hartford where he held various pricing and modeling roles. He graduated from Brigham Young University with Master of Science in Statistics, and is currently a Fellow of the Casualty Actuarial Society (CAS).
