Impact of Artificial Intelligence on the Generation Process of the Data Warehouse Model

被引:0
|
作者
Sen, Ibtissam Arras [1 ]
Laaroussi, Khadija [1 ]
Rabhi, Ouzayr [2 ]
Erramdani, Mohammed [2 ]
Hassas, Mohammed [3 ]
机构
[1] Mohammed First Univ, AlQods, LARI, Oujda 60000, Morocco
[2] Mohammed First Univ, AlQods, MATSI, Oujda 60000, Morocco
[3] Mohammed First Univ, AlQods, ESDLL, Oujda 60000, Morocco
来源
ADVANCES IN SMART MEDICAL, IOT & ARTIFICIAL INTELLIGENCE, VOL 1, ICSMAI 2024 | 2024年 / 11卷
关键词
Artificial Intelligence; Data Warehouse; ETL; DWH Analytics; MANAGEMENT; INVENTORY; SYSTEMS;
D O I
10.1007/978-3-031-66850-0_7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article explores the intersection of data warehousing (DW) and artificial intelligence (AI) techniques, aiming to address the challenges posed by escalating data volumes and the imperative for informed decision-making. In the "Related Work" section, foundational insights into DW development methodologies are provided, alongside discussions on AI's burgeoning role in augmenting warehouse management. The limitations of existing solutions, particularly regarding data accuracy and human error, are highlighted. Moving to the "Background Knowledge" section, a comprehensive understanding of DW fundamentals and AI applications in warehouse management is presented. Key characteristics of DWs are elucidated, highlighting their critical function in supporting data-driven decision-making. The evolving significance of AI in optimizing warehouse operations and enhancing data quality is explored. Finally, in "Our Proposition," novel methodologies and approaches for advancing DWsystems through AI integration are delineated. The article delves into the incorporation of AI into the Extract, Transform, Load (ETL) process, highlighting its potential in intelligent data modeling, automated data cleansing, and continuous data quality monitoring. The myriad benefits of AI in DWs are underscored, emphasizing its crucial role in optimizing operations and facilitating informed decision-making in contemporary enterprises.
引用
收藏
页码:59 / 67
页数:9
相关论文
共 50 条
  • [21] A data warehouse engineering process
    Luján-Mora, S
    Trujillo, J
    ADVANCES IN INFORMATION SYSTEMS, PROCEEDINGS, 2004, 3261 : 14 - 23
  • [22] Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing
    Nemati, HR
    Steiger, DM
    Iyer, LS
    Herschel, RT
    DECISION SUPPORT SYSTEMS, 2002, 33 (02) : 143 - 161
  • [23] Towards a digital enterprise: the impact of Artificial Intelligence on the hiring process
    Amzile, Karim
    Beraich, Mohamed
    Amouri, Imane
    Malainine, Cheklekbire
    JOURNAL OF INTELLIGENCE STUDIES IN BUSINESS, 2022, 12 (03): : 18 - 26
  • [24] COMPUTER-ASSISTED GENERATION OF DATA WAREHOUSE MODEL: ANALYSIS OF INFORMATION
    Alonso Gomez-Beltran, Lindsay
    Moreno-Rodriguez, Rosendo
    Perez-Vazquez, Ramiro
    DYNA-COLOMBIA, 2013, 80 (177): : 49 - 58
  • [25] Enterprise Data warehouse and Business Intelligence Solution
    Bagambiki, Erika
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE (ICEGOV2018), 2018, : 665 - 666
  • [26] Measuring the Impact of Data Warehouse and Business Intelligence on Enterprise Performance in Peru: A Developing Country
    Gonzales, Rolando
    Wareham, Jonathan
    Serida, Jaime
    JOURNAL OF GLOBAL INFORMATION TECHNOLOGY MANAGEMENT, 2015, 18 (03) : 162 - 187
  • [27] Agricultural process data as a source for knowledge: Perspective on artificial intelligence
    Backman, Juha
    Koistinen, Markku
    Ronkainen, Ari
    SMART AGRICULTURAL TECHNOLOGY, 2023, 5
  • [28] Data on the Human Versus artificial intelligence process management experiment
    Zurita, Nicolas F. Soria
    Gyory, Joshua T.
    Balon, Corey
    Martin, Jay
    Kotovsky, Kenneth
    Cagan, Jonathan
    McComb, Christopher
    DATA IN BRIEF, 2022, 41
  • [29] An Artificial Intelligence Based Method For Optimized Warehouse Storage Allocation
    Zoels, Korbinian
    Braun, David
    Sicilianol, Giulia
    Fortner, Johannes
    PROCEEDINGS OF THE CONFERENCE ON PRODUCTION SYSTEMS AND LOGISTICS, CPSL 2024, 2024, : 432 - 442
  • [30] Artificial Intelligence(AI), Automation, and its Impact on Data Science
    Boire, Richard
    2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2017, : 3571 - 3574