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

Marina Johnson (), Rashmi Jain (), Peggy Brennan-Tonetta (), Ethne Swartz (), Deborah Silver (), Jessica Paolini (), Stanislav Mamonov () and Chelsey Hill ()
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Marina Johnson: Montclair State University
Rashmi Jain: Montclair State University
Peggy Brennan-Tonetta: Rutgers University
Ethne Swartz: Montclair State University
Deborah Silver: Rutgers University
Jessica Paolini: Rutgers University
Stanislav Mamonov: Montclair State University
Chelsey Hill: Drexel University

Global Journal of Flexible Systems Management, 2021, vol. 22, issue 3, No 3, 197-217

Abstract: Abstract 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.

Keywords: Big Data; Analytics curriculum; Artificial Intelligence; Workforce (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (10)

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DOI: 10.1007/s40171-021-00272-y

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