AI-enabled processes: the age of artificial intelligence and big data

Amin Beheshti; Boualem Benatallah; Quan Z. Sheng; Fabio Casati; Hamid-Reza Motahari Nezhad; Jian Yang; Aditya Ghose

doi:10.1007/978-3-031-14135-5_29

AI-enabled processes: the age of artificial intelligence and big data

Amin Beheshti^*, Boualem Benatallah, Quan Z. Sheng, Fabio Casati, Hamid-Reza Motahari Nezhad, Jian Yang, Aditya Ghose

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

6 Citations (Scopus)

Abstract

Business processes, i.e., a set of coordinated tasks and activities carried out manually/automatically to achieve a business objective or goal, are central to the operation of public and private enterprises. Modern processes are often highly complex, data-driven, and knowledge-intensive. In such processes, it is not sufficient to focus on data storage/analysis; and the knowledge workers will need to collect, understand, and relate the big data (from open, private, social, and IoT data islands) to process analysis. Today, the advancement in Artificial Intelligence (AI) and Data Science can transform business processes in fundamental ways; by assisting knowledge workers in communicating analysis findings, supporting evidence, and making decisions. This tutorial gives an overview of services in organizations, businesses, and society. We introduce notions of Data Lake as a Service and Knowledge Lake as a Service and discuss their role in analyzing data-centric and knowledge-intensive processes in the age of Artificial Intelligence and Big Data. We introduce the novel notion of AI-enabled Processes and discuss methods for building intelligent Data Lakes and Knowledge Lakes as the foundation for Process Automation and Cognitive Augmentation in Business Process Management. The tutorial also points out challenges and research opportunities.

Original language	English
Title of host publication	Service-Oriented Computing – ICSOC 2021 Workshops
Subtitle of host publication	AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22–25, 2021, proceedings
Editors	Hakim Hacid, Monther Aldwairi, Mohamed Reda Bouadjenek, Marinella Petrocchi, Noura Faci, Fatma Outay, Amin Beheshti, Lauritz Thamsen, Hai Dong
Place of Publication	Cham, Switzerland
Publisher	Springer, Springer Nature
Pages	321-335
Number of pages	15
ISBN (Electronic)	9783031141355
ISBN (Print)	9783031141348
DOIs	https://doi.org/10.1007/978-3-031-14135-5_29
Publication status	Published - 2022
Event	International Conference on Service-Oriented Computing (19th : 2021) - Virtual Duration: 22 Nov 2021 → 25 Nov 2021 Conference number: 19th

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	13236
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Service-Oriented Computing (19th : 2021)
Abbreviated title	ICSOC 2021
City	Virtual
Period	22/11/21 → 25/11/21

Keywords

Business process management
Process data science
AI-enabled processes
Artificial intelligence

Access to Document

10.1007/978-3-031-14135-5_29

Cite this

Beheshti, A., Benatallah, B., Sheng, Q. Z., Casati, F., Motahari Nezhad, H.-R., Yang, J., & Ghose, A. (2022). AI-enabled processes: the age of artificial intelligence and big data. In H. Hacid, M. Aldwairi, M. R. Bouadjenek, M. Petrocchi, N. Faci, F. Outay, A. Beheshti, L. Thamsen, & H. Dong (Eds.), Service-Oriented Computing – ICSOC 2021 Workshops: AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22–25, 2021, proceedings (pp. 321-335). (Lecture Notes in Computer Science; Vol. 13236). Springer, Springer Nature. https://doi.org/10.1007/978-3-031-14135-5_29

Beheshti, Amin ; Benatallah, Boualem ; Sheng, Quan Z. et al. / AI-enabled processes : the age of artificial intelligence and big data. Service-Oriented Computing – ICSOC 2021 Workshops: AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22–25, 2021, proceedings. editor / Hakim Hacid ; Monther Aldwairi ; Mohamed Reda Bouadjenek ; Marinella Petrocchi ; Noura Faci ; Fatma Outay ; Amin Beheshti ; Lauritz Thamsen ; Hai Dong. Cham, Switzerland : Springer, Springer Nature, 2022. pp. 321-335 (Lecture Notes in Computer Science).

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title = "AI-enabled processes: the age of artificial intelligence and big data",

abstract = "Business processes, i.e., a set of coordinated tasks and activities carried out manually/automatically to achieve a business objective or goal, are central to the operation of public and private enterprises. Modern processes are often highly complex, data-driven, and knowledge-intensive. In such processes, it is not sufficient to focus on data storage/analysis; and the knowledge workers will need to collect, understand, and relate the big data (from open, private, social, and IoT data islands) to process analysis. Today, the advancement in Artificial Intelligence (AI) and Data Science can transform business processes in fundamental ways; by assisting knowledge workers in communicating analysis findings, supporting evidence, and making decisions. This tutorial gives an overview of services in organizations, businesses, and society. We introduce notions of Data Lake as a Service and Knowledge Lake as a Service and discuss their role in analyzing data-centric and knowledge-intensive processes in the age of Artificial Intelligence and Big Data. We introduce the novel notion of AI-enabled Processes and discuss methods for building intelligent Data Lakes and Knowledge Lakes as the foundation for Process Automation and Cognitive Augmentation in Business Process Management. The tutorial also points out challenges and research opportunities.",

keywords = "Business process management, Process data science, AI-enabled processes, Artificial intelligence",

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booktitle = "Service-Oriented Computing – ICSOC 2021 Workshops",

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note = "International Conference on Service-Oriented Computing (19th : 2021), ICSOC 2021 ; Conference date: 22-11-2021 Through 25-11-2021",

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Beheshti, A, Benatallah, B, Sheng, QZ, Casati, F, Motahari Nezhad, H-R, Yang, J & Ghose, A 2022, AI-enabled processes: the age of artificial intelligence and big data. in H Hacid, M Aldwairi, MR Bouadjenek, M Petrocchi, N Faci, F Outay, A Beheshti, L Thamsen & H Dong (eds), Service-Oriented Computing – ICSOC 2021 Workshops: AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22–25, 2021, proceedings. Lecture Notes in Computer Science, vol. 13236, Springer, Springer Nature, Cham, Switzerland, pp. 321-335, International Conference on Service-Oriented Computing (19th : 2021), Virtual, 22/11/21. https://doi.org/10.1007/978-3-031-14135-5_29

AI-enabled processes: the age of artificial intelligence and big data. / Beheshti, Amin; Benatallah, Boualem; Sheng, Quan Z. et al.
Service-Oriented Computing – ICSOC 2021 Workshops: AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22–25, 2021, proceedings. ed. / Hakim Hacid; Monther Aldwairi; Mohamed Reda Bouadjenek; Marinella Petrocchi; Noura Faci; Fatma Outay; Amin Beheshti; Lauritz Thamsen; Hai Dong. Cham, Switzerland: Springer, Springer Nature, 2022. p. 321-335 (Lecture Notes in Computer Science; Vol. 13236).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Beheshti, Amin

AU - Benatallah, Boualem

AU - Sheng, Quan Z.

AU - Casati, Fabio

AU - Motahari Nezhad, Hamid-Reza

AU - Yang, Jian

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KW - Business process management

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KW - AI-enabled processes

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Beheshti A, Benatallah B, Sheng QZ, Casati F, Motahari Nezhad HR, Yang J et al. AI-enabled processes: the age of artificial intelligence and big data. In Hacid H, Aldwairi M, Bouadjenek MR, Petrocchi M, Faci N, Outay F, Beheshti A, Thamsen L, Dong H, editors, Service-Oriented Computing – ICSOC 2021 Workshops: AIOps, STRAPS, AI-PA and Satellite Events, Dubai, United Arab Emirates, November 22–25, 2021, proceedings. Cham, Switzerland: Springer, Springer Nature. 2022. p. 321-335. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-14135-5_29