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Journal articles on the topic 'Artificial intelligence in industry'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

M., N. O. Sadiku, R. Nelatury S., and Musa S.M. "Artificial Intelligence in Industry." Journal of Scientific and Engineering Research 8, no. 2 (2021): 45–52. https://doi.org/10.5281/zenodo.10574946.

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<strong>Abstract </strong>Artificial intelligence (AI) refers to computer systems that mimic human cognitive functions. AI-driven systems can discover trends, reveal inefficiencies, and predict future outcomes.  These characteristics enable informed decision-making and AI to be potentially beneficial for many industries. Industrial AI deals with the application of AI technologies to address industrial issues such customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis, and insight discovery.  This paper provides different applications

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Dooner, Mike. "Artificial intelligence in industry." Computer Integrated Manufacturing Systems 2, no. 1 (1989): 58. http://dx.doi.org/10.1016/0951-5240(89)90042-6.

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Bohra, Mrs Jyoti M., and Ms Bhagyashri G. Joshi. "Artificial Intelligence and its Role in Industry." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-ICDEBI2018 (2018): 204–7. http://dx.doi.org/10.31142/ijtsrd18705.

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Konovalov, Yuriy, and Anton Vaygachev. "ARTIFICIAL INTELLIGENCE IN POWER INDUSTRY." Modern Technologies and Scientific and Technological Progress 1, no. 1 (2021): 225–26. http://dx.doi.org/10.36629/2686-9896-2021-1-1-225-226.

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Trends in the development of artificial intelligence and the use of neural networks as  applied to the power industry are considered. It is revealed that the well-known forecasting systems  based on artificial neural networks are difficult to formalize and get an unambiguous solution. There fore, this problem must be solved using a systematic approach that combines the capabilities of artifi cial neural networks and fuzzy logic under conditions of partial uncertainty of parameters

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Gadde, Sai Sruthi. "Artificial Intelligence at Healthcare Industry." International Journal for Research in Applied Science and Engineering Technology 9, no. 2 (2021): 311–14. http://dx.doi.org/10.22214/ijraset.2021.32996.

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Sheshadri, Thejasvi. "Artificial Intelligence in Industry 4.0." African Journal of Biological Sciences 6, no. 6 (2024): 2316–26. http://dx.doi.org/10.48047/afjbs.6.6.2024.2316-2326.

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Many industry sectors have been pursuing the adoption of Industry 4.0 (I4.0) ideas and technologies, which promise to realize lean and just-in-time production through digitization and the use of smart machines. This shift is driven by technological advances, including Artificial Intelligence (AI) and machine learning, sensor networks and Internet of Things technologies, cloud computing, additive manufacturing, and the availability of large amounts of data that can be exploited by these technologies. However, the adoption of AI technologies for I4.0 varies considerably among industry sectors. T

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Sadiku, Matthew N. O., OmobayodeI Fagbohungbe, and Sarhan M. Musa. "Artificial Intelligence in Food Industry." International Journal of Engineering Research and Advanced Technology 06, no. 10 (2020): 12–19. http://dx.doi.org/10.31695/ijerat.2020.3649.

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Kashiripoor, M. M., and V. A. Nikolyuk. "Artificial intelligence in construction industry." Vestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta. JOURNAL of Construction and Architecture 26, no. 1 (2024): 163–78. http://dx.doi.org/10.31675/1607-1859-2024-26-1-163-178.

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Purpose: The aim of this work is to study new trends in construction, their advantages and disadvantages, application of innovations, analysis of operability and efficiency of new technologies in the global construction industry.Methodology/approach: The literature review and systematization, study the expert opinion on open access resources, portals of private enthusiasts involved in seeking for ways to introduce and implement modern technologies in the construction industry.Research findings: The paper presents methods and conditions of using modern technologies in the world practice, disadv

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Ebert, Christof, and Xuya Wang. "China Artificial Intelligence Industry Insights." Computer 57, no. 6 (2024): 97–101. http://dx.doi.org/10.1109/mc.2024.3382422.

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Ambica, Khurana. "Artificial Intelligence in Textile Industry." International Journal of Advance and Applied Research 10, no. 3 (2023): 207–9. https://doi.org/10.5281/zenodo.7623815.

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In this era of information technology, there are a lot of ongoing discoveries and developments. Artificial Intelligence research is one of the most exciting fields in technology. Artificial Intelligence  has revolutionized many fields. It is shaping the future of humanity across and has swept across various industries. One area artificial intelligence is seeing growth in is the textile industry. The automation with applications of artificial intelligence in textile production is becoming much popular due to the technical developments and the use of modeling and simulation.

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Shahzadi, Parveen, and Singh Chadha Ramneet. "Artificial Intelligence in Transportation Industry." International Journal of Innovative Science and Research Technology 7, no. 8 (2022): 1274–78. https://doi.org/10.5281/zenodo.7067636.

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Thanks to artificial intelligence's quick development, we have excellent opportunities to improve the efficiency of many businesses and industries, including the transportation sector. The goal of artificial intelligence is to learn about reasoning, planning, knowledge acquisition, and the capacity to move around and deal with objects. Numerous advancements were made because of AI, including sophisticated methods that revealed how the human mind functions. AI is creating opportunities to make it cleaner, more dependable, and more effective. This study paper combines a variety of issues tha

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Pompi., R. Boro. "Artificial Intelligence in Meat Industry." Science world a Monthly e magazine 5, no. 4 (2025): 6700–6702. https://doi.org/10.5281/zenodo.15166754.

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The growing global demand for animal-derived food products has sparked significant concerns regarding the hygiene and overall quality of these products. In the animal food production industry, conventional methods of monitoring, inspection, and quality control are often labour-intensive, time-consuming, and prone to human error. In this context, Artificial Intelligence (AI) has emerged as a transformative technology, offering innovative approaches to enhance the safety and quality of animal food products. This review presents an overview of AI applications within the animal food sector, emphas

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Kuttimarks, Dr M. S. "Artificial Intelligeence in Construction Industry." International Journal for Research in Applied Science and Engineering Technology 12, no. 8 (2024): 1293–303. http://dx.doi.org/10.22214/ijraset.2024.64105.

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Abstract: The construction industry is currently experiencing an increasing skill shortage due to which, many businesses are pressurized. Artificial Intelligence is bringing transformation in construction industry through automation and in finance by implementing business models. Artificial Intelligence is providing novel solutions to the problems faced in construction industry. Artificial Intelligence when implemented in Construction Industry is expected to alter Business Models in logistics, customer relationship management, and support. Artificial Intelligence helps in providing amicable re

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Rasiwala, Farida S., and Bindya Kohli. "Artificial Intelligence in FinTech." International Journal of Business Intelligence Research 12, no. 1 (2021): 48–65. http://dx.doi.org/10.4018/ijbir.20210101.oa3.

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The recent increase of robo-advisory services (RAs) in various financial domains has caused a threatening alarm to the traditional fund and wealth management industry. There has been a remarkable growth in RAs' assets under management (AUM) due to their ability to provide better expected return by being competitive on pricing, transparency, and services. The research paper is designed to explore the various experts in the financial industry (which includes VP and AVPs of investment bank, managers and senior executive at bank, IT professionals and executives, and FinTech entrepreneurs and CEOs)

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Agarwal, Shiwani, Meenakshi Yadav, Abhinav Gupta, Ananya Agarwal, Anshika Yadav, and Akshita Akshita. "Introduction to artificial intelligence application in industry 5.0 revolution." International Journal of Research Publication and Reviews 6, sp5 (2025): 291–98. https://doi.org/10.55248/gengpi.6.sp525.1941.

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HORBOVYY, A. Y., V. V. LAGOVSKYY, and А. А. OMELCHUK. "ARTIFICIAL INTELLIGENCE IN THE TEXTILE INDUSTRY." Applied Questions of Mathematical Modeling 3, no. 2-2 (2020): 123–32. http://dx.doi.org/10.32782/kntu2618-0340/2020.3.2-2.11.

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Menyhárt, József. "Artificial Intelligence Possibilities in Vehicle Industry." International Journal of Engineering and Management Sciences 4, no. 4 (2019): 148–54. http://dx.doi.org/10.21791/ijems.2019.4.16.

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There have been several attempts during the last decades to extend the ranges of application of artificial intelligence. The aim of the development for AI is to replace human intelligence and experience. The ultimate aim for machines and vehicles is to run much more efficiently and with higher reliability than ever before. The Artificial Techniques (AI) used a wide range of expert systems to optimize problems. Hybrid intelligent management systems have become increasingly influential in artificial intelligence during the last decades. As a result, maintenance and fleet management systems have

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N. O. Sadiku, Matthew, Sarhan M. Musa, and Osama M. Musa. "ARTIFICIAL INTELLIGENCE IN THE MANUFACTURING INDUSTRY." International Journal of Advances in Scientific Research and Engineering 5, no. 6 (2019): 108–10. http://dx.doi.org/10.31695/ijasre.2019.33253.

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Chivanov, Denis. "ARTIFICIAL INTELLIGENCE IN THE GEOSPATIAL INDUSTRY." SYNCHROINFO JOURNAL 10, no. 3 (2024): 17–23. https://doi.org/10.36724/2664-066x-2024-10-3-17-23.

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Tools that use artificial intelligence (AI) technologies have been growing rapidly in recent years, including in the geospatial industry. Any kind of geospatial tool involves huge amounts of data, and the best insights are obtained by merging different data sources. Analyzing the data to find these important insights takes a significant amount of time. Powerful AI and machine learning algorithms can significantly reduce the time and amount of manual work. The task of processing data sets – sometimes including hundreds of thousands or millions of points – Is where AI can shine. This article loo

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Aliyeva, R. G. "Artificial intelligence in the oil industry." Azerbaijan Oil Industry, no. 01 (January 15, 2024): 56–59. http://dx.doi.org/10.37474/0365-8554/2024-01-56-59.

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The article discusses the specifics of the impact of the introduction of artificial intelligence on the oil industry. The development of shale production a few years ago radically reshaped the landscape of the oil and gas market, and now it may be changed by artificial intelligence (AI) and work with big data (Big Data). Major players are already realizing that without technological advancement, their business will be left behind. Accenture has found that 36 % of the world’s oil companies are now actively using Big Data technology, and another 38 % intend to adopt it in the next 3–5 years. The

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Nikolola-Alexieva, Valentina, Katina Valeva, and Stoyan Pashev. "Artificial intelligence in the food industry." BIO Web of Conferences 102 (2024): 04002. http://dx.doi.org/10.1051/bioconf/202410204002.

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The growth of the planet’s population requires the application of innovative technological solutions for its nutrition. Artificial intelligence, as part of the technological toolkit of Industry 4.0, having a strong transforming effect in modern society, is perceived as a strategic factor for increasing productivity, efficiency and innovation in a number of sectors, including the food industry. The global food and beverage artificial intelligence market in 2021 is valued at USD 4.49 billion. It is expected to grow at a CAGR (average annual rate) of 45.4% to reach US$ 83.4 billion by 2029. The m

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Yadav, Sonali, Ashwini Shinde, Vishakha Patil, Swati Kamble, and Anita Kumari. "Artificial Intelligence in Business and Industry." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 3 (2024): 1096–102. http://dx.doi.org/10.62225/2583049x.2024.4.3.2906.

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In 21st Century Artificial intelligence (AI) has the potential to enhance every component of information system at the individual, organizational and societal level. However, AI technology is being developed and commercialized at an unprecedented speed because of that business and industries are trying to adopt this new technology. From the last few years, we can see around large number of AI products are services are becoming a very essential part of day-to-day activities. The paper investigates on what is Artificial intelligence, trying to get an understanding on both positive as well as neg

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Thilak, N., and C. G. Gavina. "Artificial Intelligence Techniques in Oil Industry." Recent Innovations in Wireless Network Security 3, no. 2 (2021): 1–7. https://doi.org/10.5281/zenodo.5234643.

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This documentary provides an overview of artificial intelligence advances such as artificial neural networks and support vector machines, as well as the primary areas in which they are used in the oil and gas industry. Three major applications of such systems are studied inthis paper: geological data interpretation, price forecasting, and flow regime forecasting. The application of artificial intelligence-based advances improves the efficiency of work in both exploration and production, allowing for better results at a lesser cost. At any activity of the oil production process, data mining tec

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Victor, Ogheneochuko Jeko. Ph.D1* Collins Ojemoron2. "THE ETHICS OF ARTIFICIAL INTELLIGENCE IN BANKING INDUSTRY." ISRG Journal of Arts Humanities & Social Sciences (ISRGJAHSS) I, no. V (2023): 382–91. https://doi.org/10.5281/zenodo.10030864.

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<i>Artificial intelligence could lead to job losses and the violation of human rights and privacy. This paper aimed at the ethical interrogation into the workings, recognition, sensibilities and consciousness of artificial intelligence (AI) in banking industry. The significance and application of artificial intelligence has elicited some impacts. Artificial intelligence has a myriad of impacts and these impacts are both positive and negative. These impacts are mainly on man, society, human rights, ecological/environmental sustainability, trust, financial industry and democracy. The objective o

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Wei, Jin. "Research Progress and Application of Computer Artificial Intelligence Technology." MATEC Web of Conferences 176 (2018): 01043. http://dx.doi.org/10.1051/matecconf/201817601043.

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With the development of science and technology, artificial intelligence technology has received more and more attention and attention. Under the background of the rapid development of big data and cloud computing, the artificial intelligence industry broke out. There is a huge amount of research on artificial intelligence and the artificial intelligence industry is huge. As far as the artificial intelligence industry in China is concerned, even the start is relatively late, but the industry scale, industrial layout, and technology research are all in a continuous improvement stage. Especially

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Donepudi, Praveen Kumar. "Application of Artificial Intelligence in Automation Industry." Asian Journal of Applied Science and Engineering 7, no. 1 (2018): 7–20. http://dx.doi.org/10.18034/ajase.v7i1.42.

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The advancement of Artificial Intelligence is fast-moving promptly and the amalgamation of Artificial Intelligence with automation has commenced altering the business backcloth. Companies and businesses are centering on applying prevailing Artificial Intelligence with automation progressions to avail the new tops of proficiency and excellence. The paper gives a picture of artificial intelligence and automation, and it stabs to reveal to the audience how both Artificial intelligence and automation are linked and how they may be more operative when they work as one and may offer competitive bene

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Praveen, Kumar Donepudi. "Application of Artificial Intelligence in Automation Industry." Asian Journal of Applied Science and Engineering 7, no. 1 (2018): 7–20. https://doi.org/10.5281/zenodo.4146232.

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The advancement of Artificial Intelligence is fast-moving promptly and amalgamation of Artificial Intelligence with automation has commenced altering the business backcloth. Companies and businesses are centering on applying prevailing Artificial Intelligence with automation progressions to avail the new tops of proficiency and excellence. The paper gives a picture of artificial intelligence and automation, and it stabs to reveal to the audience how both Artificial intelligence and automation are linked and how they may be more operative when they work as one and may offer competitive benefits

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Cossio Franco, Edgar Gonzalo, María Esmeralda Arreola Marín, Juan Humberto Sossa Azuela, Mariela Chávez Marcial, José Iraic Alcántar Alcántar, and Eduardo Ulises Moya Sánchez. "Artificial Intelligence & Society 5.0." International Journal of Combinatorial Optimization Problems and Informatics 16, no. 2 (2025): 55–59. https://doi.org/10.61467/2007.1558.2025.v16i2.1073.

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Artificial intelligence has become an essential technology in industry 4.0. People's daily activities require its use more frequently. Society 5.0, known as the fifth industrial revolution, places people at the center of processes, coupled with the use of artificial intelligence, for the development of the industry.

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Tichafa Tawanda Chawatama, Ralph, and Sun Shaowei. "Artificial Intelligence: The Backbone of Industry Evolution, Impact, and Future." International Journal of Science and Research (IJSR) 10, no. 5 (2021): 1130–37. https://doi.org/10.21275/sr21518092101.

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Choubey, Khushboo, Kuldeep Soni, Divyanshi Tiwari, and Ayush Tiwari. "Artificial Intelligence's Impact on the Automotive Industry." International Journal of Innovative Research in Science,Engineering and Technology 12, no. 04 (2023): 4680–85. http://dx.doi.org/10.15680/ijirset.2023.1204385.

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The aim of this study is to determine artificial intelligence's impact and benefits for the automobile sector. This study employs the descriptive research methodology, which gathers data from already-existing facts. The study's findings clarify the significance of autonomous car technology for the automotive industry's use of artificial intelligence as well as the benefits and drawbacks of this technology in current usage. The research's findings were attained as a result of the rise in human requirements in the age of industry 4.0 technology, which led some businesses to create driverless car

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Sanchit, Sanap* Akshay Fulsunder Omkar Dhakne Prasad Gadge Ankit Pingale. "Artificial Intelligence in Pharmaceutical Technology." International Journal of Pharmaceutical Sciences 3, no. 5 (2025): 5241–47. https://doi.org/10.5281/zenodo.15564302.

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The development of new drugs is greatly aided by artificial intelligence (AI). Artificial intelligence (AI) is increasingly being used in various sectors of society, particularly the pharmaceutical industry. Deep neural networks and recurrent networks are the technology driving this field. There have recently been many applications in the field of property or activity predictions, such as physicochemical and ADME properties AI uses personified knowledge and gains knowledge from the solutions it generates to tackle both straightforward and complex issues. The process of developing new drugs may

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Weng, Weizheng. "Development trend and Challenge Analysis of Manufacturing Industry Under the Background of Artificial Intelligence." Highlights in Business, Economics and Management 24 (January 22, 2024): 234–39. http://dx.doi.org/10.54097/0acbfn94.

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Artificial Intelligence (AI), as a new technology emerging in recent years, has received great attention in various fields. For the manufacturing industry, the ability to integrate artificial intelligence technology into the production process of manufacturing can improve the productivity of manufacturing enterprises. This paper discusses the development trend of the manufacturing industry in the context of artificial intelligence technology. It analyses several advantages of AI technology applied to the manufacturing industry, including innovation in technology, helping enterprises to achieve

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Irbite, Andra, and Aina Strode. "ARTIFICIAL INTELLIGENCE VS DESIGNER: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DESIGN PRACTICE." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 4 (May 28, 2021): 539–49. http://dx.doi.org/10.17770/sie2021vol4.6310.

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Technological advances, including the use of possibilities offered by artificial intelligence (AI), have become an area of strategic importance and a key driver of economic development. AI today has been integrated into a variety of economies, the design industry is no exception: AI is being increasingly applied in the development of design products and services. However, as technological breakthroughs rapidly shift the borders between the work tasks performed by humans and those performed by machines and algorithms, global labor markets are undergoing major transformations. This raises the qu

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VASYLKIVSKYI, Mikola, Ganna VARGATYUK, and Olga BOLDYREVA. "INTELLIGENT RADIO INTERFACE WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE." Herald of Khmelnytskyi National University. Technical sciences 217, no. 1 (2023): 26–32. http://dx.doi.org/10.31891/2307-5732-2023-317-1-26-32.

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The peculiarities of the implementation of the 6G intelligent radio interface infrastructure, which will use an individual configuration for each individual subscriber application and flexible services with lower overhead costs, have been studied. A personalized infrastructure consisting of an AI-enabled intelligent physical layer, an intelligent MAC controller, and an intelligent protocol is considered, followed by a potentially novel AI-based end-to-end (E2E) device. The intelligent controller is investigated, in particular the intelligent functions at the MAC level, which may become key com

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Upadhyay, Ashwani Kumar, and Komal Khandelwal. "Applying artificial intelligence: implications for recruitment." Strategic HR Review 17, no. 5 (2018): 255–58. http://dx.doi.org/10.1108/shr-07-2018-0051.

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Purpose This paper aims to review the applications of artificial intelligence (AI) in the hiring process and its practical implications. This paper highlights the strategic shift in recruitment industry caused due to the adoption of AI in the recruitment process. Design/methodology/approach This paper is prepared by independent academicians who have synthesized their views by a review of the latest reports, articles, research papers and other relevant literature. Findings This paper describes the impact of developments in the field of AI on the hiring process and the recruitment industry. The

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Choi, Youngjin, and Donghyun Kim. "Artificial Intelligence in The Tourism Industry: Current Trends and Future Outlook." International Journal on Advanced Science, Engineering and Information Technology 14, no. 6 (2024): 1889–95. https://doi.org/10.18517/ijaseit.14.6.20452.

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This article emphasizes the importance of artificial intelligence in the tourism sector. Various technologies are being integrated to enhance customer services. The world is making significant efforts to strengthen industrial competitiveness using big data and artificial intelligence technologies, and tourism is facing increasing demands for new strategic solutions through the digital transformation of the existing tourism industry using cutting-edge technologies. Artificial intelligence quickly addresses customer requirements by providing timely information on critical factors such as hotels,

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Rafiei Oskooei, Amirkia, Buse Engin Can, Gizem Yeldan, and Özgür Macit. "Artificial Intelligence Based Store Management." European Journal of Research and Development 3, no. 4 (2023): 240–48. http://dx.doi.org/10.56038/ejrnd.v3i4.386.

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The project proposes innovative ideas such as personalized customer interactions through a mobile application and optimizing queues through the sliding checkout model. It also leverages existing kiosks for digital customer connections. The project's methodology is based on comprehensive needs analysis, consultations with industry experts, and the identification of processes suitable for automation. It also prioritizes Research and Development (R&D) in retail merchandising by securing R&D licenses from industry giants. The project's technological infrastructure is designed for the Azure

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Bačiulienė, Vaida, and Valentinas Navickas. "ARTIFICIAL INTELLIGENCE IN THE AGRI-FOOD INDUSTRY." Sociálno-ekonomická revue 20, no. 2 (2022): 5–11. http://dx.doi.org/10.52665/ser20220201.

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The agri-food industry faces productivity challenges due to low levels of automation and a lack of innovative solutions. Artificial intelligence can become a tool to meet these challenges. Existing artificial intelligence solutions are already inevitably changing the agri-food industry. This technology is evolving rapidly and its range of applicability is expanding. The article presents an analysis the model of Benefits, Organizational Readiness and External Pressure (BOE) application to artificial intelligence in the agri-food industry. The model constructs – farm readiness, perceived benefit

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Logoshenko, A. S. "Can Artificial Intelligence Replace Humans in Industry?" Upravlenie kachestvom (Quality management), no. 11 (October 18, 2024): 27–32. http://dx.doi.org/10.33920/pro-01-2411-04.

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The article considers the possibility of replacing humans with artifi cial intelligence (AI) in industry. An overview of the current capabilities and achievements of AI in industry is presented. Examples of the successful use of AI and its advantages are given. The material describes positions that cannot be replaced by AI. It is emphasized that creative professions, managerial and strategic positions require creative thinking, emotional intelligence and the ability to make complex decisions, which is not yet available to AI. Although AI has signifi cant potential to improve production process

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Крутиков, В. К., Л. А. Косогорова, М. В. Якунина, and В. А. Якунина. "Formation of the artificial intelligence technology industry." Экономика и предпринимательство, no. 8(145) (January 19, 2023): 845–47. http://dx.doi.org/10.34925/eip.2022.145.8.166.

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В статье рассматривается современный этап процесса интеграции, такой стратегической технологии, как искусственный интеллект с сектором реальной экономики. Отмечается, что искусственный интеллект становиться доступной технологией для властных структур, промышленных предприятий, сферы услуг. Выявлены проблемы, возникающие в обеспечении массового внедрения технологии, такие как влияние транснациональных корпораций, владеющих базами данных, намечающийся дефицит серверного оборудования и другие. Разработаны научно-обоснованные рекомендации по нейтрализации главных рисков. The article examines the c

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Petrović, Dalibor. "Challenges of artificial intelligence in media industry." Kultura, no. 184 (2024): 41–55. https://doi.org/10.5937/kultura2484041p.

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In this paper, we deal with challenges of strong penetration of artificial intelligence into the media sphere. Here, media houses and media technology are considered equally, which in itself indicates the complexity of the phenomenon we are facing. In the first part of the paper, a general overview of the possible social consequences of the development of AI is given, in order to then move on to the field of AI application in the media. The central part of the paper is devoted to discussion of key challenges of applying AI in the media, where four basic segments are distinguished: audience tru

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Saverkin, O. V. "Can Artificial Intelligence Replace Humans in Industry?" Upravlenie kachestvom (Quality management), no. 10 (September 18, 2024): 14–17. http://dx.doi.org/10.33920/pro-01-2410-02.

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This article examines the possibility of replacing humans with artifi cial intelligence (AI) in the industrial sector. The author analyzed current achievements in this area and studied their impact on the productivity and economic effi ciency of enterprises. Particular attention is paid to the social and ethical aspects of AI implementation, including occupational safety and the replacement of people with robots. In addition, the article examines the prospects for the development of technologies and their potential for industrial transformation. Based on current data, the author concluded that

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Soegoto, E. S., R. D. Utami, and Y. A. Hermawan. "Influence of artificial intelligence in automotive industry." Journal of Physics: Conference Series 1402 (December 2019): 066081. http://dx.doi.org/10.1088/1742-6596/1402/6/066081.

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Qi, Jiayin, Feng Wu, Ling Li, and Huaying Shu. "Artificial intelligence applications in the telecommunications industry." Expert Systems 24, no. 4 (2007): 271–91. http://dx.doi.org/10.1111/j.1468-0394.2007.00433.x.

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Yang, Xuan. "Investment Value in China’s Artificial Intelligence Industry." BCP Business & Management 34 (December 14, 2022): 1437–43. http://dx.doi.org/10.54691/bcpbm.v34i.3196.

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At present, various AI products are increasingly connected with people, playing a crucial role in their lives. It can be seen from the report on China's artificial intelligence industry that the market size of China's AI market is growing rapidly with great development potential. Moreover, investing in China’s AI market is also the top choice for numerous investors. Hence, this paper focuses on studying the development trend and potential problems of companies in China's AI market, and eliciting relevant investment suggestions, through analyzing three representative China firms- iFLYTEK, Baidu

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Kraus, Kateryna, Nataliia Kraus, Mariia Hryhorkiv, Ihor Kuzmuk, and Olena Shtepa. "Artificial Intelligence in Established of Industry 4.0." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 19 (November 28, 2022): 1884–900. http://dx.doi.org/10.37394/23207.2022.19.170.

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The purpose of scientific research is to present the features of digitization of business processes using artificial intelligence at enterprises as a foundation on which the gradual formation of Industry 4.0 is built and the search for reserves of socio-economic growth in the conditions of the development of digital ecosystem and digital entrepreneurship. Presentation of a number of positive and negative consequences of the influence of artificial intelligence on the operation of digital infrastructure, as well as to indicate possible approaches in the practical application of artificial intel

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Krishnababu, Krishnagiri, Gururaj S. Kulkarni, Yogaraj R, and Padmaa M. Paarakh. "Revolutionizing the Pharmaceutical Industry with Artificial Intelligence." June-July 2023, no. 34 (May 25, 2023): 26–37. http://dx.doi.org/10.55529/jaimlnn.34.26.37.

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The pharmaceutical industry is one of the most important industries in the world. It provides essential medicines and treatments that help people live longer and healthier lives. The industry is also one of the most regulated and complex, with drugs taking years to develop and billions of dollars in investment. However, the emergence of artificial intelligence (AI) is transforming the way drugs are developed, tested, and brought to market. AI has the potential to revolutionize the pharmaceutical industry by accelerating drug discovery, reducing costs, and improving patient outcomes. In this ar

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Krishnababu, Krishnagiri, Gururaj S. Kulkarni, Yogaraj R, and Padmaa M. Paarakh. "Revolutionizing the Pharmaceutical Industry with Artificial Intelligence." June-July 2023, no. 34 (May 25, 2023): 26–37. http://dx.doi.org/10.55529/jaimlnn.26.37.

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The pharmaceutical industry is one of the most important industries in the world. It provides essential medicines and treatments that help people live longer and healthier lives. The industry is also one of the most regulated and complex, with drugs taking years to develop and billions of dollars in investment. However, the emergence of artificial intelligence (AI) is transforming the way drugs are developed, tested, and brought to market. AI has the potential to revolutionize the pharmaceutical industry by accelerating drug discovery, reducing costs, and improving patient outcomes. In this ar

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Teo, Yen Nee, Elizabeth Yong, Ajeevan Gautam, Rajib Chaulagain, and Kun Hing Yong. "ARTIFICIAL INTELLIGENCE IN FUTURE MENTAL HEALTH INDUSTRY." Journal of Chitwan Medical College 13, no. 4 (2023): 119–21. http://dx.doi.org/10.54530/jcmc.1431.

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The high demand for mental health services and scarce supply of healthcare professionals are increasingly suppressing the mental healthcare industry. The emergence of artificial intelligence shows the potential to be able to transform the landscape of this industry. The application of artificial intelligence has offered a promising hope to bridge the gap between the long-lasting demand and supply issues in the industry, and to provide better healthcare support, as it reduces the fear of judgement while increasing self-awareness. Nevertheless, some challenges need to be overcome before the ment

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Siddhant, Garje* &. Dr. Anita Kumari**. "APPLICATION OF ARTIFICIAL INTELLIGENCE IN PETROLEUM INDUSTRY." International Journal of Engineering Research and Modern Education (IJERME) 8, no. 1 (2023): 13–18. https://doi.org/10.5281/zenodo.7663138.

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Artificial intelligence (AI) has been widely applied to optimization challenges in the petroleum exploration and production industry in recent years. With the new industry interest and enthusiasm for smart wells, intelligent fields, and real-time analysis and interpretation of enormous amounts of data for process optimization, our industry's need for powerful, resilient, and intelligent technologies has expanded dramatically. This survey provides a thorough literature analysis based on various types of AI algorithms, their application areas in the petroleum sector, and the geographical reg

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