IoT Integration into the AI-enabled Enterprise Networks
| dc.contributor.author | Midudula, Rashi | |
| dc.contributor.other | Noonari, Juned (Supervisor) | |
| dc.date.accessioned | 2025-05-01T01:52:28Z | |
| dc.date.available | 2025-05-01T01:52:28Z | |
| dc.date.issued | 2022-04-03 | |
| dc.description | Abstract: In recent years, the number of IoT devices has increased exponentially, evolving in virtually every domain, making businesses smarter and more efficient. This project will oversee various applications and use cases of IoT in enterprises and its evolution by aspects of Artificial Intelligence. Also, we explore the challenges of implementing IoT in an enterprise network. IoT is a concept where several sensors are connected to the internet with free data sharing and creating a mesh network so that applications get reverse benefits in almost every aspect of our lives. This IoT is currently trending in the IT industry but comes with several challenges; hence we need to plan the IoT applications and solutions carefully. Also, we look into how AI is catering for the needs of enterprises with IoT integrations. | |
| dc.identifier.doi | https://doi.org/10.7939/r3-j4ew-0e95 | |
| dc.language.iso | en | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Internet of things | |
| dc.subject | Business enterprises--Computer networks | |
| dc.subject | Machine learning | |
| dc.subject | Artificial intelligence | |
| dc.title | IoT Integration into the AI-enabled Enterprise Networks | |
| dc.type | http://purl.org/coar/resource_type/c_93fc | |
| ual.jupiterAccess | http://terms.library.ualberta.ca/public |
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