Hornik Jacob, Rachamim Matti, Graguer Sergei
Coller School of Management, Tel-Aviv University, Tel Aviv, Israel.
School of Business Administration, Bar-Ilan University, Ramat Gan, Israel.
Front Artif Intell. 2023 Oct 4;6:1242574. doi: 10.3389/frai.2023.1242574. eCollection 2023.
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".
营销科学涵盖了战略、研究和应用决策所需的更广泛的数据类型和测量工具。管理物联网（IoT）传感器和执行器产生的营销数据是营销经理在部署物联网系统时面临的最大挑战之一。本短文展示了传统的基于云的物联网系统如何受到某些云生态系统中大规模、异构性和高延迟的挑战。它向研究人员介绍了一项最新突破——雾计算，这是一个新兴概念，它使用分布式和联邦计算模型将应用程序、策略和数据分析分散到网络本身。通过将存储和计算更靠近用户端，它将集中式云转变为分布式雾。雾计算被认为是一种新颖的市场现象，它可以支持人工智能和管理策略，特别是对于“智能营销”的设计。
