Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy

被引:0
|
作者
Johnson M. [1 ]
Jain R. [1 ]
Brennan-Tonetta P. [2 ]
Swartz E. [1 ]
Silver D. [2 ]
Paolini J. [2 ]
Mamonov S. [1 ]
Hill C. [3 ]
机构
[1] Montclair State University, Montclair, NJ
[2] Rutgers University, New Brunswick, NJ
[3] Drexel University, Philadelphia, PA
关键词
Analytics curriculum; Artificial Intelligence; Big Data; Workforce;
D O I
10.1007/s40171-021-00272-y
中图分类号
学科分类号
摘要
Big Data and Artificial Intelligence (BD&AI) have become so pervasive, and the opportunities they present so transformative, that they are viewed as essential for competitive growth. Since the number of firms adopting BD&AI technologies is growing exponentially, the demand for BD&AI practitioners is also growing at a rapid rate. However, several studies indicate that there is a BD&AI talent shortage and skills gap between labor market requirements and expertise available in the current workforce. This talent shortage and skills gap are now recognized as a crucial impediment in leveraging BD&AI for economic growth at the local, national, and global levels. This research aims to identify BD&AI workforce trends, gaps, and opportunities by using bibliometric analysis and extracting insights from job posting data. The study team first conducted bibliometric research and built word co-occurrence diagrams using BD&AI related articles published in high-impact journals to determine technological changes impacting various industry domains. The team then collected job postings data and summarized the skill sets required to be competitive in industries driven by BD&AI. Finally, the study team evaluated the curricula of BD&AI programs at various colleges and universities educating the future workforce and conducted a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis to bridge the gaps between industry needs and academic training. This multi-step research framework forecasts oncoming technological changes in various industry clusters, workforce skills that are and will be needed, and provides recommendations for a workforce development roadmap so that businesses can gain a competitive advantage through the use of BD&AI. © 2021, Global Institute of Flexible Systems Management.
引用
收藏
页码:197 / 217
页数:20
相关论文
共 50 条
  • [21] From Big Data to Big Artificial Intelligence? Algorithmic Challenges and Opportunities of Big Data
    Kersting, Kristian
    Meyer, Ulrich
    [J]. KUNSTLICHE INTELLIGENZ, 2018, 32 (01): : 3 - 8
  • [22] Research on the Development of Financial Industry Under the Background of Big Data and Artificial Intelligence
    Lin, Fei
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON FINANCIAL INNOVATION AND ECONOMIC DEVELOPMENT (ICFIED 2020), 2020, 126 : 1 - 4
  • [23] Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics
    Sharma, Saurabh
    Gahlawat, Vijay Kumar
    Rahul, Kumar
    Mor, Rahul S.
    Malik, Mohit
    [J]. LOGISTICS-BASEL, 2021, 5 (04):
  • [24] Architecting and Developing Big Data-Driven Innovation (DDI) in the Digital Economy
    Sultana, Saida
    Akter, Shahriar
    Kyriazis, Elias
    Wamba, Samuel Fosso
    [J]. JOURNAL OF GLOBAL INFORMATION MANAGEMENT, 2021, 29 (03) : 165 - 187
  • [25] Proposing a maturity model for assessing Artificial Intelligence and Big data in the process industry
    Fornasiero, Rosanna
    Kiebler, Lorenz
    Falsafi, Mohammadtaghi
    Sardesai, Saskia
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2024,
  • [26] Ethical Concerns of Artificial Intelligence, Big Data and Data Analytics
    Harlow, Harold
    [J]. PROCEEDINGS OF THE 19TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2018), VOLS 1 AND 2, 2018, : 316 - 323
  • [27] Data Science: Big Data, Machine Learning, and Artificial Intelligence
    Carlos, Ruth C.
    Kahn, Charles E.
    Halabi, Safwan
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (03) : 497 - 498
  • [28] Artificial Intelligence and Big Data in Sustainable Entrepreneurship
    Bickley, Steve J.
    Macintyre, Alison
    Torgler, Benno
    [J]. JOURNAL OF ECONOMIC SURVEYS, 2024,
  • [29] Artificial Intelligence and Big Data in Public Health
    Benke, Kurt
    Benke, Geza
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (12)
  • [30] Big data, analytics and artificial intelligence for sustainability
    Ojokoh, Bolanle A.
    Samuel, Oluwarotimi W.
    Omisore, Olatunji M.
    Sarumi, Oluwafemi A.
    Idowu, Peter A.
    Chimusa, Emile R.
    Darwish, Ashraf
    Adekoya, Adebayo F.
    Katsriku, Ferdinand A.
    [J]. SCIENTIFIC AFRICAN, 2020, 9