Description: "This video discusses the importance of AI model governance, cloud services and data management. It informs particularly in low-code and co-pilot systems, and the necessity of robust lifecycle management for risk mitigation. It highlights how cloud platforms like AWS, Azure, and Google Cloud are revolutionizing AI through scalable and efficient services. Additionally, the video emphasizes the critical role of effective data management and governance to ensure high-quality, compliant, and ethical AI outcomes.

Description: Attend this webcast to learn more on how to navigate managing ESG principles in the new normal of a post-COVID world. Enhance your ESG insights in a post-pandemic landscape.

Description: How do Professionalism and the Actuarial Standards of Practice apply as the way we work and tools we use continue to change? Business is conducted via social media and messaging and Generative AI allows for additional scenarios, analysis and oversight. Join us for an interactive session to go deeper into these topics including case studies, polls and a panel discussion.

Description: What is bias? How do you recognize it? What to do if you see it? This webcast will help respond to these questions and provide initial guidance on how to deal with these thorny issues. Please join us with your questions and we will have a nice conversation.

Description: Learn how insurers provide new opportunities for efficiency and value creation from product design and underwriting through customer engagement and claims. Glimpse some industry use cases for Gen AI and its outcomes as observed by the first movers.

Description: How do Professionalism and the Actuarial Standards of Practice apply as the way we work and tools we use continue to change? Business is conducted via social media and messaging and Generative AI allows for additional scenarios, analysis and oversight. Join us for an interactive session to go deeper into these topics including case studies, polls and a panel discussion.

Description: "The following video Dave Friesen provides a comprehensive overview of the Artificial Intelligence and Data Science learning track. It covers the role of AI in actuarial work, ethical considerations, and the challenges and limitations of AI. The document also discusses the importance of cloud ecosystems, AI tools, and automation trends, emphasizing the evolution of platforms like Python and low-code solutions. Additionally, it highlights the criticality of lifecycle management, governance, and data foundations in AI applications.

Description: The use of data to assess risk is not new to the life insurance industry, but has historically been limited to leveraging structured data. Join us as we discuss the next frontier: unstructured data.

Description: Come discuss the benefits and challenges of collaboration between academic institutions and industry stakeholders in shaping actuarial education and research agendas. Register for this event now.