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              <text>Application of smart manufacturing in business</text>
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              <text>digital; intelligence; manufacturing; smart; technologies</text>
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              <text>The application of machine learning to production is becoming a chief objective for businesses all around the world. Smart product-service systems enable digital business model innovation by merging digitized product and service components. The life cycle that comes with the realization of customer value is a critical component of these industrial solutions and manufacturing industry is undergoing significant changes as a result of digitalization and automation. As a result, smart services, or digital services that generate value from product data, are gaining popularity. Customers may now contribute in greater numbers in product design during the design process. Giving more people access, on the other hand, increases the security vulnerabilities associated with cloud manufacturing. Smart Manufacturing is one of the technology-driven approach to manufacturing that uses network-connected machines to monitor the process. Smart manufacturing has the ability to be used in a variety of ways, including putting sensors in manufacturing machines and collecting data on their operating state and performance. Thus, the main purpose here is to find ways to improve and automate production performance. This conceptual paper attempts to give a view of how a smart intelligence system may be used in business and how individuals and organizations can produce value.   2023 Author(s).</text>
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              <text>Parashar B.; Chaurasia A.; Sharma R.</text>
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              <text>AIP Conference Proceedings, Vol-2771, No. 1</text>
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              <text>American Institute of Physics Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1063/5.0152794" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0152794&lt;/a&gt;
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              <text>ISSN: 0094243X</text>
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              <text>Parashar B., Department of Business School, Vit Bhopal University, Madhya Pradesh, Bhopal, India; Chaurasia A., Department of Commerce, Christ University, Ghaziabad, India; Sharma R., Department of Management Studies, Swami Rama Himalayan University, Uttarakhand, Dehradun, India</text>
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