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Artificial Intelligence Impacts on Industry 4.0: A Literature-Based Study

Artificial Intelligence Impacts on Industry 4.0: A Literature-Based Study

Shyam Sunder Gupta (Amity University, Gwalior, India), Rajeev Goyal (Amity University, Gwalior, India), and Deepak Gupta (ITM University, Gwalior, India)
Copyright: © 2023 |Pages: 15
DOI: 10.4018/978-1-6684-8145-5.ch002
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Abstract

Artificial intelligence (AI) provides appropriate information for decision-making and alerting people of possible malfunctions. Industries will use AI to process data transmitted from the internet of things (IoT) devices and connected machines based on their desire to integrate them into their equipment. It provides companies with the ability to track their entire end-to-end activities and processes fully. Accordingly, the research objectives are crafted to facilitate researchers, practitioners, students, and industry professionals. It includes key features, how industrial AI distinguishes itself within the field of AI, major components in Industrial AI, Industrial AI eco-system, various tools and traits of AI, cyber physical applications, AI technologies and tools, Industrial IoT (IIoT) and data analytics, benefits of adopting an Industry 4.0 model, benefits of deploying AI models, significant advancements, and challenges of industrial artificial intelligence. Furthermore, this technology seeks correlations to avoid errors and eventually to anticipate them.
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Key Features: Industry 4.0 (Unido, 2016)

  • 1.

    Increasing awareness of Industry 4.0's effects on inclusive and sustainable industrial development (ISID) and facilitating access to knowledge, skill, education, and technology are important.

  • 2.

    The huge potential for developing economies and transitioning economies to use innovation management principles to progress quicker into Industry 4.0.

The potential for UNIDO to support the creation of multi-stakeholder knowledge-sharing platforms to increase awareness of Industry 4.0 opportunities and challenges for pursuing ISID in developing nations; for sharing available tools and methods for innovation management; designing training curricula for new workforce skill requirements; researching techniques and best processes to support SMEs digital transformation and bridging the gender digital divide; raising awareness.

The development of artificial intelligence (AI) during the years is shown in Figure 1.

Figure 1.

History of AI development

978-1-6684-8145-5.ch002.f01
Source: Sharabov and Tsochev (2020)

The major focus areas that utilize AI are mentioned in Figure 2.

Figure 2.

Major focus areas

978-1-6684-8145-5.ch002.f02
Source: Sharabov and Tsochev (2020)

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