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Fog computing: a platform for big-data marketing analytics
Marketing science embraces a wider variety of data types and measurement tools necessary for strategy, research, and applied decision making. Managing the marketing data generated by internet of things (IoT) sensors and actuators is one of the biggest challenges faced by marketing managers when depl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582701/ https://www.ncbi.nlm.nih.gov/pubmed/37859937 http://dx.doi.org/10.3389/frai.2023.1242574 |
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author | Hornik, Jacob Rachamim, Matti Graguer, Sergei |
author_facet | Hornik, Jacob Rachamim, Matti Graguer, Sergei |
author_sort | Hornik, Jacob |
collection | PubMed |
description | Marketing science embraces a wider variety of data types and measurement tools necessary for strategy, research, and applied decision making. Managing the marketing data generated by internet of things (IoT) sensors and actuators is one of the biggest challenges faced by marketing managers when deploying an IoT system. This short note shows how traditional cloud-based IoT systems are challenged by the large scale, heterogeneity, and high latency witnessed in some cloud ecosystems. It introduces researchers to one recent breakthrough, fog computing, an emerging concept that decentralizes applications, strategies, and data analytics into the network itself using a distributed and federated computing model. It transforms centralized cloud to distributed fog by bringing storage and computation closer to the user end. Fog computing is considered a novel marketplace phenomenon which can support AI and management strategies, especially for the design of “smart marketing”. |
format | Online Article Text |
id | pubmed-10582701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105827012023-10-19 Fog computing: a platform for big-data marketing analytics Hornik, Jacob Rachamim, Matti Graguer, Sergei Front Artif Intell Artificial Intelligence Marketing science embraces a wider variety of data types and measurement tools necessary for strategy, research, and applied decision making. Managing the marketing data generated by internet of things (IoT) sensors and actuators is one of the biggest challenges faced by marketing managers when deploying an IoT system. This short note shows how traditional cloud-based IoT systems are challenged by the large scale, heterogeneity, and high latency witnessed in some cloud ecosystems. It introduces researchers to one recent breakthrough, fog computing, an emerging concept that decentralizes applications, strategies, and data analytics into the network itself using a distributed and federated computing model. It transforms centralized cloud to distributed fog by bringing storage and computation closer to the user end. Fog computing is considered a novel marketplace phenomenon which can support AI and management strategies, especially for the design of “smart marketing”. Frontiers Media S.A. 2023-10-04 /pmc/articles/PMC10582701/ /pubmed/37859937 http://dx.doi.org/10.3389/frai.2023.1242574 Text en Copyright © 2023 Hornik, Rachamim and Graguer. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Hornik, Jacob Rachamim, Matti Graguer, Sergei Fog computing: a platform for big-data marketing analytics |
title | Fog computing: a platform for big-data marketing analytics |
title_full | Fog computing: a platform for big-data marketing analytics |
title_fullStr | Fog computing: a platform for big-data marketing analytics |
title_full_unstemmed | Fog computing: a platform for big-data marketing analytics |
title_short | Fog computing: a platform for big-data marketing analytics |
title_sort | fog computing: a platform for big-data marketing analytics |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582701/ https://www.ncbi.nlm.nih.gov/pubmed/37859937 http://dx.doi.org/10.3389/frai.2023.1242574 |
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