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Description
The Internet of Things (IoT) has grown from devices being connected to and controlled through the Internet to autonomous platforms and networked devices that communicate with each other. The utilization of Artificial Intelligence with IoT (AIoT) has further increased the capabilities and services provided by devices but also imposed various challenges such as data interoperability. This panel is composed of leading experts in academia and industry that will discuss the current state and future directions of AIoT along with data interoperability to identify opportunities and challenges along with future directions in research.
Recommended Citation
French, Aaron; Shim, J.P.; Haynes, Michael; Lester, Jim; and Kalatzis, Nikos, "Artificial IoT and Data Interoperability: Future Directions and Research Agenda" (2021). AMCIS 2021 Proceedings. 2.
https://aisel.aisnet.org/amcis2021/panels/panels/2
Artificial IoT and Data Interoperability: Future Directions and Research Agenda
The Internet of Things (IoT) has grown from devices being connected to and controlled through the Internet to autonomous platforms and networked devices that communicate with each other. The utilization of Artificial Intelligence with IoT (AIoT) has further increased the capabilities and services provided by devices but also imposed various challenges such as data interoperability. This panel is composed of leading experts in academia and industry that will discuss the current state and future directions of AIoT along with data interoperability to identify opportunities and challenges along with future directions in research.
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