The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Benefit From the Internet of Things Right Now by Accessing Dark Data
Abstract
Even as companies become aware of the powerful benefits Internet-of-Things (IoT) data can bring to their organization, the investment costs of deploying new sensors in the field keep IoT initiatives as distant goals for many firms. At the same time, firms are swimming in substantial amounts of “dark data” that are created by operational technology, transactional systems, and other “things” already deployed by the company. An estimated 90% of this data is currently dark, because most of these “things” were not designed to record data in ways that facilitate aggregation with information from other sources. Using relatively low-cost strategies, companies can begin accessing and exploiting this data gold mine today.
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In the citing paper
“Almost 90% of IoT data is dark data [83].”
From A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023) · cites this paper as [83]
Citations
Cites
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The Internet of Things Grows Artificial Intelligence and Data Sciences
Stracener, C., Samelson, Q., Mackie, J., et al. (2019) · IT Professional · doi:10.1109/mitp.2019.2912729 · Cited by 23
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Pal, A. (2015) · IT Professional · doi:10.1109/mitp.2015.36 · Cited by 21
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Cited by
Sorted by citations
A Systematic Review of Data Quality in CPS and IoT for Industry 4.0
Goknil, A., Nguyen, P., Sen, S., Politaki, D., Niavis, H., Pedersen, K. J., Suyuthi, A., Anand, A., & Ziegenbein, A. (2023) · ACM Computing Surveys · doi:10.1145/3593043 · Cited by 84
Metadata
- Authors
- Gimpel, G., & Alter, A.
- Affiliations
- Georgia State University (US)
- Massachusetts Institute of Technology (US)
- ORCID
- Gimpel, Gregory
- Venue
- IT Professional
- Published
- 2021-03-01
- Volume
- 23
- Issue
- 2
- Pages
- 45-49
- ISSN
- 1520-9202 (ISSN-L)
- 1941-045X
- OpenAlex
- W3146268899
- Cited by
- 9
- References
- 9
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 2 · 2022: 4
- FWCI
- 1.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IT Professional (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Internet of Things, dark data, operational technology, transaction systems, data aggregation, data utilization
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