Description: This report discusses the use of federated learning in the insurance industry and explores the benefits and challenges of this approach.

Description: The InsurTech New York conference was held on March 28-29, 2023. The Conference theme was Partnerships, Claims and Underwriting. Current market conditions are such that funding shrank significantly as reported by Gallagher Re, with 2021 record annual funding of $15.80 billion dropping to $7.98 billion in 20222. With such reality in mind, this report highlights what we collected from attending pre-conference events and sessions at InsurTech, while networking with peers, industry experts and startups over the two-day event.

Description: Come gain insights into the techniques used in Machine Learning and its applications. You'll discover the key technological advances in recent years which were behind and ultimately facilitated the breakthroughs including ChatGPT/GenAI. It's time to uncover real-world use cases where AI models and their transformative impact on our lives.

Description: 4th University of California Santa Barbara InsurTech Summit 2023, April 14, Santa Barbara

Description: This session will include examples of healthcare claims and market data to be used for educational purposes to highlight trends in the insurance industry. It will also highlight opportunities to enforce existing laws around fraud and abuse, and areas for regulators and legislators to focus to address this growing problem. Finally, it will discuss recent law changes and highlight areas requiring additional regulatory intervention. Expect discussions of recent claim issues and laws in the healthcare market as well as emerging issues in healthcare. The presentation will be beneficial to healthcare professionals working for health insurers, healthcare providers, auditors, regulators and healthcare providers and will also cover professionalism related topics for actuaries.

Description: Explore an introduction to Insurtech and a sampling of a few FSAs who have pivoted into Insurtech. You'll hear about their career journeys, how their traditional actuarial backgrounds prepared them for success in Insurtech roles, and about the Insurtech work they're currently doing in life insurance, health insurance, and property & casualty insurance.

Description: This webinar is a panel discussion covering the technology behind blockchain and digital assets as well their uses, implications and risks. Investment considerations for both tokens and fund structures, along with a variety of other topics in the space will be addressed.

Description: Continuing our series related to the exposition of distribution terms that may be unclear or misunderstood, our focus in this article is on critical service and support components for sales and distribution, accompanied by a summary of the regulatory oversight of insurance sellers and distributors and a few common terms related to that oversight

Description: The recent wave of innovation in GenAI has unlocked an entirely new category of AI applications. Whereas AI has traditionally focused on automation and predictions, LLM’s and Generative AI give us the opportunity to create AI applications that act as copilots. This emphasis on contelligence and empowering knowledge workers has already begun to change the way work is done. High expertise knowledge workers such as actuaries will be able to use this wave of AI Apps to make better decisions and dedicate more of their attention to the parts of the role that require domain expertise and judgement. Join Charles Morris, Microsoft’s Chief Data Scientist for Financial Services, as he talks about the latest advancements in this space and the opportunities it creates for expert knowledge workers. Charles Morris is the Chief Data Scientist for Financial Services at Microsoft. Charles has deep expertise in the financial services domain and works with many of the world’s leading asset managers, banks, insurance companies, and financial platforms to develop and execute their AI strategies.Currently, Charles is focused on applying Generative AI to financial services and advising many top financial institutions in building their own copilots and reimagining their businesses.Charles is a data scientist and machine learning engineer by profession and an expert in MLOps. Before joining Microsoft, Charles practiced data science, machine learning, and cloud engineering in the asset management industry. He has been a featured keynote speaker at several prestigious events and forums and is a highly sought after public speaker in the domain of AI and Innovation.