Gizealew Alazie Dagnaw et al., International Journal of Advanced Trends in Computer Science and Engineering, 10(2), March - April 2021, 532 - 542 532 The Emergence of Artificial Intelligence for Industrial Internet of Thing Engagement Gizealew Alazie Dagnaw 1 , Sisay Ebabye Tsigie 2 12 Department of Information Science, College of Informatics, University of Gondar, Gondar, Ethiopia gizeinstra@gmail.com, sis.ebe2007@gmail.com ABSTRACT New IT technologies will help enterprises across all industries to master future challenges. As AI emerges from science fiction to become the frontier of world changing technologies, there is an urgent need for systematic development and implementation of AI to see its real impact in the next generation of industrial systems, namely Industry 4.0. Today, the term “industrial automation” is generally referred to in the context of Industry 4.0 and the Industrial Internet of Things the two most recent technological revolutions in the industrial sector. The core principles of Industry 4.0 focus on increasing productivity, cost efficiency, quality, and safety by utilizing innovative technologies enabled by the IIoT, such as cyber- physical systems, cloud computing, big data, artificial intelligence and machine learning. When implementing this technology by using data centric digital business model. Internet of Things & Artificial Intelligence are poised to transform industrial operations. Key words: Artificial Intelligence, Industrial Internet of Things, Industry 4.0, Internet of Things, Machine learning 1. INTRODUCTION Artificial intelligence is playing a growing role in IoT applications and deployments, a shift apparent in the behavior of companies operating in this area. Venture capital investments in IoT start-ups that are using AI are up sharply. Companies have acquired dozens of firms working at the intersection of AI and IoT in the last two years. Major vendors of IoT platform software are now offering integrated AI capabilities such as machine learning-based analytics.AI is playing a starring role in IoT because of its ability to quickly wring insights from data. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate information such as temperature, pressure, humidity, air quality, vibration, and sound[1]. The Internet of Things (IoT) refers to a vast number of “things” that are connected to the internet so they can share data with other things IoT applications, connected devices, industrial machines and more. Internet-connected devices use built-in sensors to collect data and, in some cases, act on it. IoT connected devices and machines can improve how we work and live. Real-world Internet of Things examples range from a smart home that automatically adjusts heating and lighting to a smart factory that monitors industrial machines to look for problems, then automatically adjusts to avoid failures. Artificial Intelligence (AI) algorithms enhance the ability for big data analytics and IoT platforms to provide value to each of these market segments. Industrial Internet of Things (IIoT) solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport[2]. The manufacturing industry is undergoing a new age of evolution, with major changes occurring on multiple fronts. Companies keen on digital transformation are taking inspiration from the Internet of Things (IoT) to power their factories of the future. As a growing subcategory of IoT, the industrial Internet of Things (IIoT) leverages smart sensors and actuators to connect humans and machines with the Internet, boosting manufacturing and industrial processes in terms of efficiency, productivity, and safety. Along with cyber-physical systems (CPS), cloud computing and cognitive computing; the IIoT is key to building the Industry 4.0 era. Successful adoption of IIoT systems is built on devices and technologies such as networking, sensors, RFID, cameras, GPS/GNSS, smart beacons ISSN 2278-3091 Volume 10, No.2, March - April 2021 International Journal of Advanced Trends in Computer Science and Engineering Available Online at http://www.warse.org/IJATCSE/static/pdf/file/ijatcse121022021.pdf https://doi.org/10.30534/ijatcse/2021/121022021