Fog computing: a platform for big-data marketing analytics

Jacob Hornik, Matti Rachamim, Sergei Graguer

Research output: Contribution to journalShort surveypeer-review

1 Scopus citations

Abstract

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”.

Original languageEnglish
Article number1242574
JournalFrontiers in Artificial Intelligence
Volume6
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
Copyright © 2023 Hornik, Rachamim and Graguer.

Keywords

  • cloud computing
  • edge computing
  • fog computing
  • internet of things (IoT)
  • smart marketing

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