AI-Enabled Processes: The Age of Artificial Intelligence and Big Data

被引:2
|
作者
Beheshti, Amin [1 ]
Benatallah, Boualem [2 ]
Sheng, Quan Z. [1 ]
Casati, Fabio [3 ]
Nezhad, Hamid-Reza Motahari [1 ]
Yang, Jian [1 ]
Ghose, Aditya [4 ]
机构
[1] Macquarie Univ, Sydney, NSW, Australia
[2] Univ New South Wales, Sydney, NSW, Australia
[3] Servicenow, Santa Clara, CA USA
[4] Univ Wollongong, Wollongong, NSW, Australia
关键词
Business process management; Process data science; AI-enabled processes; Artificial intelligence;
D O I
10.1007/978-3-031-14135-5_29
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:321 / 335
页数:15
相关论文
共 50 条
  • [1] Artificial intelligence in retail: The AI-enabled value chain
    Oosthuizen, Kim
    Botha, Elsamari
    Robertson, Jeandri
    Montecchi, Matteo
    [J]. AUSTRALASIAN MARKETING JOURNAL, 2021, 29 (03): : 264 - 273
  • [2] Feeling Artificial Intelligence for AI-Enabled Autonomous Systems
    Kargin, Anatolii
    Petrenko, Tetyana
    [J]. 2022 IEEE GLOBAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS (GCAIOT), 2022, : 88 - 93
  • [3] Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies
    Cope, Bill
    Kalantzis, Mary
    Searsmith, Duane
    [J]. EDUCATIONAL PHILOSOPHY AND THEORY, 2021, 53 (12) : 1229 - 1245
  • [4] The future of competitive intelligence in an AI-enabled world
    Hoffman, Fred P.
    Freyn, Shelly L.
    [J]. INTERNATIONAL JOURNAL OF VALUE CHAIN MANAGEMENT, 2019, 10 (04) : 275 - 289
  • [5] Artificial intelligence (AI) and big data in cancer and precision oncology
    Dlamini, Zodwa
    Francies, Flavia Zita
    Hull, Rodney
    Marima, Rahaba
    [J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2020, 18 : 2300 - 2311
  • [6] Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening
    Wang, Nan
    Dong, Gongqing
    Qiao, Ruxia
    Yin, Xiang
    Lin, Sijie
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2024, 58 (22) : 9487 - 9499
  • [7] Proxy Discrimination in the Age of Artificial Intelligence and Big Data
    Prince, Anya E. R.
    Schwarcz, Daniel
    [J]. IOWA LAW REVIEW, 2020, 105 (03) : 1257 - 1318
  • [8] Digital inequalities in the age of artificial intelligence and big data
    Lutz, Christoph
    [J]. HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES, 2019, 1 (02) : 141 - 148
  • [9] Artificial cognitive functions towards AI-enabled collaborative robots
    Zouganeli, Evi
    Lentzas, Athanasios
    [J]. PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2023, 2023, : 14 - 16
  • [10] Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities
    Moodley, K.
    [J]. SAMJ SOUTH AFRICAN MEDICAL JOURNAL, 2024, 114 (01): : 16 - 20