The field of financial analysis is undergoing a significant transformation with the increasing adoption of Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques. Recent developments have focused on improving the accuracy of financial predictions, automating claims processing, and enhancing the capabilities of Large Language Models (LLMs) in capturing domain-specific financial knowledge. Researchers are exploring innovative applications of Generative AI in actuarial science, including the automation of market comparisons and the classification of car damage types. Furthermore, the development of benchmarks and evaluation metrics for LLMs in specific languages, such as Slovak, is facilitating the advancement of NLU models in diverse linguistic contexts. Notable papers in this area include: Advanced Applications of Generative AI in Actuarial Science, demonstrating the transformative impact of GenAI on actuarial science through four implemented case studies. Large Language Models Acing Chartered Accountancy, introducing CA-Ben, a benchmark to evaluate the financial, legal, and quantitative reasoning capabilities of LLMs.