Artificial Intelligence: An Emerging Area

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The rapid transformation of the globe is being propelled by the advancements in technology for communication and information.  The objective of this particular edition is to examine some significant developing patterns in artificial intelligence (AI) that propel intelligent industrial applications. In recent decades, a series of technological advancements, including big data data analysis, 5G networks, the Internet of Things (i.e. IoT), artificial intelligence (AI), and cybersecurity, have facilitated the transformation and enhanced the intelligence of various businesses. These technologies enable the efficient processing, analysis, and transmission of vast quantities of data. With the use of this data, experts in the industrial sector are now able to make decisions that are better informed, leading to improved efficiency, safety, and production. Consequently, there has been a significant increase in automation within sectors, leading to heightened levels of connectivity among individuals. As a result of the extensive advantages offered by intelligent industries, numerous sectors have begun to capitalize on its potential. Several common instances encompass several industries such as energy, automobile, agriculture, oil and gas, among others. Technological advancements have assumed a critical role in addressing the requirements of Industry 4.0 within the realm of intelligent industrial applications.


The potential applications of artificial intelligence in various industries characterized by advanced automation and intelligence are extensive and varied. According to the stipulated application requirements, the utilization of artificial intelligence (AI) facilitates the ability to anticipate requirements, effectively handle tasks, and offer reliable recommendations. The integration of AI-driven technology will provide a substantial competitive edge in various intelligent industrial applications. This phenomenon can be attributed to the fact that regardless of the scale and nature of the industry, artificial intelligence presents viable solutions across all sectors. The convergence of Internet of Things (IoT), Artificial Intelligence (AI), and blockchain plays a crucial role in the development of intelligent industrial applications within the realm of emerging trends in AI. The convergence of AI with other disruptive innovations has the potential to generate favorable outcomes in future industrial applications. Several additional emerging trends can be observed in the field. These include the utilization of artificial intelligence (AI) to enhance cybersecurity systems, the implementation of real-time customer interactions, the integration of intelligent automation in work environments, the challenge of making critical decisions with biased data, the utilization of AI assistants, the adoption of biometric authentication methods such as facial recognition, and the implementation of improved privacy measures in multiple industrial uses.  In summary, although the current deployment of intelligent applications for industry in real-time is still in its early stages, it is undeniable that advancements in artificial intelligence will greatly influence several industries within the industrial domain. Moreover, it is projected that the potential for enhancing corporate operations stemming from advancements in artificial intelligence will continue to grow as we move towards the era of Industry 4.0. Further exploration and investigation in this particular field of study will undoubtedly contribute to the promotion and achievement of sustainable industrial development. Moreover, it facilitates the development of industrial applications that are safer, cleaner, as well as more efficient.


The primary emphasis of this special issue pertains to the design difficulties and methodologies related to the implementation of developing artificial intelligence trends inside intelligent industrial applications. Researchers and practitioners are encouraged to contribute their original and unique research findings that align with the defined scope. The following is a non-exhaustive enumeration of topics that are of interest:

  • The utilization of artificial intelligence (AI) in the development of intelligent business applications.

  • The application of AI in the field of predictive analytics as well as predictive maintenance within intelligent industrial contexts.

  • The implementation of industrial robotics & robotic process automation to enhance industrial operations. 4.0.

  • Current trends in computer vision with machine vision and their applications.

  • This discussion focuses on the utilization of artificial intelligence (AI) in the context of industrial manufacturing and automation. Additionally, we explore the integration of federated learning and blockchain technologies inside intelligent industrial applications.

  • The emergence of artificial intelligence (AI) has brought about significant developments in its use across different industries, including marketing, finance, banking, the agricultural sector, space exploration, self-driving automobiles, chatbots, artificial creativity, healthcare, and gaming.

  • The industrial sector is witnessing trends in machine learning that facilitate ongoing advancements. 

  • AI technologies enable real-time efficiency optimization and tracking.

  • Automation software, robots, autonomous vehicles, and drones are being utilized to automate everyday industrial operations as well as maintenance tasks.

  • Industry is adopting AI-powered security as well as privacy-preserving systems.4.0.

  • Artificial intelligence (AI) supported chatbots for the provision of customer care and assistance.

  • The study of Conservation and Ethics in Artificial Intelligence

  • The application of AI in business forecasting and analysis



By: Anshita Dhoot

 

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