The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
From analytics to artificial intelligence
Open accessAbstract
Analytics have been employed by companies for several decades, but now many firms are interested in building their capabilities for artificial intelligence (AI). Many AI systems, however, are based on statistics and other forms of analytics. Companies can get a “running start” on AI by building upon their analytical competencies. The focus of this article is how to transition from analytics to AI. Three eras of analytical focus are detailed, with AI portrayed as a fourth era. The types of AI methods that are and are not based on analytics are described. AI applications that build on analytical strengths are discussed. Approaches to assessing analytical capabilities that relate to AI, and the development of an organizational plan and strategy for AI, are also described in brief.
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“Upskilling develops interdisciplinary skillsets that are necessary for the successful implementation of AI projects (Davenport 2018).”
From Ready or not, AI comes—an interview study of organizational AI readiness factors (2021) · cites this paper as Davenport 2018
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Cites
Decision support systems : an organizational perspective
Keen, P., & Morton, M. S. S. (1978) · Addison-Wesley Longman Publishing Co., Inc. eBooks · Cited by 1,673
Davenport, T. H. (2018) · The MIT Press eBooks · doi:10.7551/mitpress/11781.001.0001 · Cited by 528
Self-citationCredit Scoring with Social Network Data
Wei, Y. “., Yıldırım, P., den Bulte, C. V., & Dellarocas, C. N. (2014) · Marketing Science · doi:10.1287/mksc.2015.0949 · Cited by 165
Franks, B. (2014) · Wiley eBooks · doi:10.1002/9781118936672 · Cited by 43
Franks, B. (2014) · Cited by 28
Research works printed but not linked: 5
- Davenport T. H., 2017, Competing on analytics
- Davenport T. H., 2016, Only humans need apply: Winners and losers in the age of smart machines
- Davenport T. H., 2018, MIT Sloan Management Review
- Deloitte, 2018, Deloitte state of AI in the enterprise
- Siegel E., 2016, Predictive analytics
Cited by
Sorted by citations
Ready or not, AI comes—an interview study of organizational AI readiness factors
Jöhnk, J., Weißert, M., & Wyrtki, K. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00676-7 · Cited by 637
Helo, P., & Hao, Y. (2021) · Production Planning & Control · doi:10.1080/09537287.2021.1882690 · Cited by 672
Perifanis, N.-A., & Kitsios, F. (2023) · Information · doi:10.3390/info14020085 · Cited by 407
Rana, N. P., Chatterjee, S., Dwivedi, Y. K., & Akter, S. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1955628 · Cited by 500
The dark sides of people analytics: Reviewing the perils for organisations and employees
Giermindl, L. M., Strich, F., Christ, O., Leicht-Deobald, U., & Redzepi, A. (2022) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1927213 · Cited by 331
Metadata
- Authors
- Davenport, T. H.
- Affiliations
- Babson College (US)
- Corresponding author
- Davenport, Thomas H.
- ORCID
- Davenport, Thomas H.
- Venue
- Journal of Business Analytics
- Publisher
- Informa UK Limited
- Published
- 2018-07-03
- Volume
- 1
- Issue
- 2
- Pages
- 73-80
- ISSN
- 2573-234X (ISSN-L)
- 2573-2358
- OpenAlex
- W2900699623
- Cited by
- 341
- References
- 5
- Citations by year
- 2026: 31 · 2025: 58 · 2024: 75 · 2023: 74 · 2022: 40 · 2021: 41 · 2020: 14 · 2019: 8
- FWCI
- 23.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Business Analytics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- artificial intelligence, business analytics, analytical competencies
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