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

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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.

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Notes

  1. https://obamawhitehouse.archives.gov/blog/2016/05/23/administration-issues-strategic-plan-big-data-research-and-development#:~:text=The%20Obama%20Administration%20launched%20the,next%20generation%20of%20data%20scientists.

  2. NJ call for research: https://nj.gov/governor/news/news/562018/approved/20181105a.shtml.

  3. US government AI commitment: https://www.govconwire.com/2019/02/white-house-launches-american-ai-initiative-via-executive-order/.

  4. https://www.fedscoop.com/national-ai-initiative-office-launched/.

  5. https://www.nsf.gov/pubs/2020/nsf20604/nsf20604.htm.

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Authors and Affiliations

  1. Montclair State University, Montclair, NJ, USA

    Marina Johnson, Rashmi Jain, Ethne Swartz & Stanislav Mamonov

  2. Rutgers University, New Brunswick, NJ, USA

    Peggy Brennan-Tonetta, Deborah Silver & Jessica Paolini

  3. Drexel University, Philadelphia, PA, USA

    Chelsey Hill

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  1. Marina Johnson
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  2. Rashmi Jain
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  3. Peggy Brennan-Tonetta
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Correspondence to Rashmi Jain.

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This work was funded by New Jersey Governor Phil Murphy’s Future of Work Task Force. The research team are members of the New Jersey Big Data Alliance, a consortium of 17 higher education institutions in New Jersey which provides leadership in research, education, and outreach in advanced computation and Big Data for the state.

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Johnson, M., Jain, R., Brennan-Tonetta, P. et al. Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy. Glob J Flex Syst Manag 22, 197–217 (2021). https://doi.org/10.1007/s40171-021-00272-y

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