A Case for Business Process-Specific Foundation Models
This proposes a new approach for AI applications in business processes, but it is incremental as it extends existing foundation model concepts to a specific domain.
The paper argues that business process data has unique characteristics, warranting new foundation models for tasks like process mining and optimization, to address challenges such as data scarcity and privacy.
The inception of large language models has helped advance state-of-the-art performance on numerous natural language tasks. This has also opened the door for the development of foundation models for other domains and data modalities such as images, code, and music. In this paper, we argue that business process data representations have unique characteristics that warrant the development of a new class of foundation models to handle tasks like process mining, optimization, and decision making. These models should also tackle the unique challenges of applying AI to business processes which include data scarcity, multi-modal representations, domain specific terminology, and privacy concerns.