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Smart Beta and Risk Factors Based on IoTs

In: Alternative Data and Artificial Intelligence Techniques

Author

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  • Qingquan Tony Zhang

    (University of Illinois Urbana-Champaign)

  • Beibei Li

    (Carnegie Mellon University)

  • Danxia Xie

    (Tsinghua University)

Abstract

Artificial intelligence enables the Internet of Things to acquire perception and recognition capabilities, and the Internet of Things (IoT) provides AI with data for training algorithms. The combination of IoT and AI generates and collects massive data, and stores it in device terminals, edge terminals, or on the cloud. Then, the data can be intelligently analyzed through machine learning, so as to realize the digitalization and intelligent connection of all things. Therefore, in this chapter, we will detail a series of risk measurement models based on IoT and their.

Suggested Citation

  • Qingquan Tony Zhang & Beibei Li & Danxia Xie, 2022. "Smart Beta and Risk Factors Based on IoTs," Palgrave Studies in Risk and Insurance, in: Alternative Data and Artificial Intelligence Techniques, chapter 0, pages 129-139, Palgrave Macmillan.
    • Handle: RePEc:pal:psircp:978-3-031-11612-4_7
    DOI: 10.1007/978-3-031-11612-4_7
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    Cited by:

    1. Adhikari, Niroj & Bhandari, Ramesh & Joshi, Prajwol, 2024. "Thermal analysis of lithium-ion battery of electric vehicle using different cooling medium," Applied Energy, Elsevier, vol. 360(C).

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