Description: Innovation can be a challenging goal to achieve for many organizations. Come explore how actuaries at any career stage can drive innovation in their organization and how innovation happens in companies. You'll also learn about what problems arise when organizations first start bringing an innovation mindset into play. Come discuss the practical aspects of making innovation happen for each person, whether they are an individual contributor, a team manager, personally responsible for organizational innovation, or ready to take the entrepreneurial leap.

Description: Dive into an overview of potential customer value propositions, trends in consumer acceptance and adoption, solving the data portability issue, potential impacts of emerging partner ships with OEMs and more within the auto insurance industry during our latest webcast. Experience interactive dialogue that will allow another dimension of thinking as industry experts provide insights and expertise. Throughout this webcast, you can expect developments in the personal lines automotive telematics-based insurance landscape that will develop a further understanding of the present and future of this industry.

Description: Learn to utilize one of the most requested skills in the actuarial science job advertisements. During this webcast, discover the benefits of programming, how to identify and explain complex technical information and ways to create stunning visuals with ggplot2, which exceed the capabilities of Excel. With your webcast attendance, you will receive a document with detailed explanations, codes and underlying data. Enjoy exercises which allow the creation of fully reproducible solutions. This means an easy reproduction of all presented plots learned during this webcast. Register and take the next step toward building enticing visualizations.

Description: This is the first in a series of calls for essays on the impact of AI on mortality and longevity. For this call for essays, we are interested in the impact of AI on mortality and longevity modeling, forecasting and prediction.

Description: This Q&A article discusses the use of machine learning to analyze unstructured data. Supriya Ramachandra, a data scientist at SIKKA, explains how her team uses natural language processing techniques, technical aspects of neural networks, LSTM modeling, and natural language processing. Machine learning allows for the classification of large amounts of unorganized data, providing actionable information for actuaries.

Description: Article about Prompt Engineering Tips.