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Research on companies is increasingly leveraging AI and machine learning to address challenges in various domains, from optimizing internal processes and decision-making to analyzing external data like patents and financial disclosures. Current research focuses on developing and applying advanced models such as large language models (LLMs), causal inference techniques, and novel algorithms for tasks like name disambiguation and semantic analysis. This work aims to improve efficiency, accuracy, and transparency in various business operations, ultimately impacting both the scientific understanding of organizational behavior and the practical application of AI within companies.