arXiv Open Access 2022

A Case for Business Process-Specific Foundation Models

Yara Rizk Praveen Venkateswaran Vatche Isahagian Vinod Muthusamy
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Abstrak

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.

Topik & Kata Kunci

Penulis (4)

Y

Yara Rizk

P

Praveen Venkateswaran

V

Vatche Isahagian

V

Vinod Muthusamy

Format Sitasi

Rizk, Y., Venkateswaran, P., Isahagian, V., Muthusamy, V. (2022). A Case for Business Process-Specific Foundation Models. https://arxiv.org/abs/2210.14739

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2022
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en
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arXiv
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Open Access ✓