Industry 5.0 is a revolutionary change for the traditional industrial domain
with an amalgamation of interactive computational techniques. However, the Industrial
Internet of Things (IIoT) is referred to as communication between various batteryenabled physical devices. The present IIoT sector faces issues like complex decisionmaking, enhancement of productivity capabilities, management of the cost of assets,
uninterrupted connectivity, and security. Traditional computational techniques were
partially successful in finding an appropriate solution for existing issues in IIoT. In this
study, the author highlighted a deep learning-based prediction model that further assists
the industry while making major decisions. This approach is currently used for various
problems in agriculture, healthcare, coal and petroleum, entertainment and sports,
surveillance, and retail and marketing industries.
Keywords: Artificial intelligence, Healthcare, Industrial IoT, IIoT, Machine learning, Smart industry, Smart agriculture, Smart education, Supply chain management.
