The integration of large language models (LLMs) into information systems is revolutionizing data management and business process automation. This chapter presents two complementary approaches that leverage LLMs to enhance intelligent data processing and workflow execution. By enabling the seamless integration of heterogeneous data and increasing the adaptability of business process management systems, these approaches highlight the potential of LLMs to optimize and advance information systems. Implementation examples provide practical guidelines for developing LLM-based applications for real-world scenarios, illustrating how LLMs can drive efficiency, automation, and intelligent decision-making within information systems.

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Applications of Large Language Models in Information Systems

  • Jerin George Mathew,
  • Flavia Monti

摘要

The integration of large language models (LLMs) into information systems is revolutionizing data management and business process automation. This chapter presents two complementary approaches that leverage LLMs to enhance intelligent data processing and workflow execution. By enabling the seamless integration of heterogeneous data and increasing the adaptability of business process management systems, these approaches highlight the potential of LLMs to optimize and advance information systems. Implementation examples provide practical guidelines for developing LLM-based applications for real-world scenarios, illustrating how LLMs can drive efficiency, automation, and intelligent decision-making within information systems.