Relevant bibliographies by topics / AI-Powered Automation

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Academic literature on the topic 'AI-Powered Automation'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "AI-Powered Automation"

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Pamadi, Vishesh Narendra, and Dr Sandeep Kumar. "AI Powered Automation Transforming Business Processes with Machine Learning." International Journal of Research in Humanities and Social Sciences 13, no. 3 (2025): 146–67. https://doi.org/10.63345/ijrhs.net.v13.i3.9.

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AI-powered automation, particularly through the integration of machine learning (ML), has significantly transformed business processes across various industries over the past decade. From 2015 to 2024, the adoption of AI technologies has evolved from automating simple, repetitive tasks to driving strategic decision-making and enhancing operational efficiency in complex systems. Despite the considerable progress, there remain several research gaps in understanding the full potential and impact of AI-driven automation on business processes. One key area is the scalability of AI automation in sma
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Vidushi, Sharma. "AI-Powered Automation in Healthcare: Improving Patient Care and Operational Efficiency." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 4 (2019): 1–8. https://doi.org/10.5281/zenodo.14785680.

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Artificial Intelligence (AI) and automation technologies have become pivotal in transforming the healthcare sector, offering innovative solutions that enhance both patient care and operational efficiency. The integration of AI-powered automation can address several critical challenges faced by modern healthcare systems, including rising patient demand, resource limitations, and the increasing complexity of healthcare management. AI-driven systems provide opportunities to automate routine tasks, improve diagnostic accuracy, optimize clinical workflows, and deliver personalized treatment plans b
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Ashwini Kadam, Pratik Pawar, Prachi Pawar, Revati Pandit, Ankita Phalke, and Sanjana Jagadale. "AI Powered Recruitment System." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 07 (2025): 3203–8. https://doi.org/10.47392/irjaeh.2025.0471.

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Artificial intelligence in recruitment provides a revolutionary answer in today's cutthroat hiring environment. An AI-Powered Recruitment System that was created in two organized stages is presented in this study. Phase 1 creates an HR dashboard and user-friendly frontend that facilitates resume uploads, candidate management, and job postings. AI-driven automation for resume parsing, aptitude test assessment, group discussion scheduling, and interview coordination is introduced in Phase 2. The solution improves the candidate experience and recruiter control by integrating real-time notificatio
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Viswanadhapalli, Vamsi. "Integrating AI and RPA in Pega for Intelligent Process Automation: A Comparative Study." International Journal of Scientific Research and Management (IJSRM) 12, no. 06 (2024): 1317–33. https://doi.org/10.18535/ijsrm/v12i06.ec11.

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The integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA) within Pega’s Intelligent Process Automation (IPA) framework is fundamentally transforming enterprise workflow management. Traditional RPA, while effective in automating repetitive, rule-based tasks, lacks the adaptability and cognitive capabilities required for handling dynamic business processes. AI-enhanced RPA, on the other hand, leverages machine learning (ML), natural language processing (NLP), predictive analytics, and decision-making algorithms to enable self-learning automation systems that optimize w
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BKP, Sarma. "Revolutionizing Workplace Productivity with AI-Powered Meeting Automation." International Journal of Science and Research (IJSR) 13, no. 12 (2024): 810. https://doi.org/10.21275/sr241209144435.

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Hari, Prasad Bomma. "Revolutionizing ETL with AI Powered Automation." International Journal of Leading Research Publication 5, no. 2 (2024): 1–5. https://doi.org/10.5281/zenodo.14769769.

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In today's era of big data and digital transformation, organizations are actively seeking efficient and scalable methods to manage their data pipelines. Traditional, ETL (Extract, Transform, and Load) processes are both demanding and time consuming, requiring manual intervention at various stages. However, cloud computing and AI advancements has heralded a new era of automated ETL pipelines. These advanced systems employ machine learning and deep learning algorithms to automate the entire data processing pipeline, from extraction to feature engineering, reducing the need for manual involvement
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Mandaloju, Nagaraj, Vinod kumar Karne, Nagaraj Mandaloju, and Parameshwar Reddy Kothamali. "AI-Powered Automation in Salesforce Testing: Efficiency and Accuracy." Universal Research Reports 8, no. 1 (2021): 121–34. http://dx.doi.org/10.36676/urr.v8.i1.1365.

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This study investigates the impact of AI-powered automation on Salesforce testing, focusing on improvements in efficiency and accuracy compared to traditional methods. The research addresses the challenge of ensuring robust testing processes in complex CRM environments, where conventional methods often fall short. A comparative analysis was conducted using both traditional and AI-powered testing tools, with metrics including test execution time, accuracy rates, and error detection rates. The results reveal that AI-powered tools significantly enhance testing efficiency, reducing execution time
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Sharma, Vidushi. "AI-powered RPA in healthcare: Reducing costs and improving patient outcomes." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 1 (2024): 1004–11. https://doi.org/10.54660/.ijmrge.2024.5.5.1072-1079.

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The integration of Artificial Intelligence (AI) with Robotic Process Automation (RPA) has led to significant advancements across various industries, with the healthcare sector experiencing transformative benefits. AI-powered RPA combines the decision-making abilities of AI with the efficiency of automation, offering solutions that streamline healthcare operations, reduce costs, and improve patient care. This paper explores the pivotal role of AI-driven RPA in healthcare, focusing on its applications in automating administrative tasks, clinical processes, and patient engagement. By examining it
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Ashok Manoharan. "Enhancing audience engagement through ai-powered social media automation." World Journal of Advanced Engineering Technology and Sciences 11, no. 2 (2024): 150–57. http://dx.doi.org/10.30574/wjaets.2024.11.2.0084.

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Enhancing Audience Engagement using AI-Powered Social Media Automation is a significant part of modern marketing techniques. This research addresses the application of artificial intelligence (AI) to automate social media interactions to boost audience engagement. The study dives into numerous AI approaches and algorithms applied in social media automation and assesses their success in enhancing audience participation, brand exposure, and customer happiness. The research explores the influence of AI-powered automation on multiple social media platforms. It assesses its potential to boost audie
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SERGIUS D, ROFINA. "AI-Powered Project Management and Reporting System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42174.

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Project management is a critical aspect of any organization, requiring efficient tracking of tasks, milestones, and team collaboration. Traditional project management systems often lack automation in reporting and data analysis. This paper presents an AI-powered Project Management and Reporting System that integrates MySQL for structured data storage, utilizes the LLM for AI-based report generation, and employs Python-docx for professional document creation. The system automates the generation of structured reports, enhances project tracking, and facilitates efficient communication among stake
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Books on the topic "AI-Powered Automation"

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Albrecht, Eduardo. Political Automation. Oxford University Press, 2025. https://doi.org/10.1093/9780197696989.001.0001.

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Abstract Governments, once staffed exclusively with human bureaucrats, now routinely use AI-based software to gather information about citizens and make decisions that impact their lives. In many nations, AI determines the level of privacy a person can enjoy, how far they can travel, what public benefits they may receive, and what they can and cannot say publicly. This amounts to a phenomenon of political automation rapidly materializing globally and begs the question: What input do citizens have in how these machines think? The book explores this question in various domains—including policing
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Akkiraju, Rama, Allen Chan, Harley Davis, Ethan Glasman, and Jerry Cuomo. Art of Automation: Discover How AI-Powered Automation Helps People Reclaim up to 50% of Their Time at Work. BookBaby, 2022.

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Book chapters on the topic "AI-Powered Automation"

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Gupta, Ram Gopal, Ankur Dumka, and Bireshwar Dass Mazumdar. "AI-Powered Automation Tools for Software Product Checking and Cost Management." In AI for Product Development. CRC Press, 2025. https://doi.org/10.1201/9781003536901-13.

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Varma, Kratika, and Veerabahu Sankarabaham. "AI-Powered Strategies for Adaptive Automation of Data-Informed-Decision-Making." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94156-6_37.

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Roto, Virpi. "Co-worker, Butler, or Coach? Designing Automation for Work Enrichment." In Humane Autonomous Technology. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-66528-8_3.

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AbstractIn the ongoing industrial revolution, AI-powered automation systems arrive at workplaces, taking over many tasks and even entire jobs. To avoid the dystopias of this development, the 5th Industrial Revolution must focus on a human-centered future of work. This is not possible by only focusing on technology, but we also need to develop human-centered design approaches for the AI era. This chapter introduces three levels of work enrichment design to enrich potentially monotonous work with highly automated systems. The first level aims to ensure decent work and a feeling of achievement fo
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Grimme, Christian, Janina Pohl, Stefano Cresci, Ralf Lüling, and Mike Preuss. "New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication." In Disinformation in Open Online Media. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18253-2_6.

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Yadav, Neelam, Varuna Gupta, and Aakansha Garg. "Industrial Automation Through AI-Powered Intelligent Machines—Enabling Real-Time Decision-Making." In Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6790-8_5.

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Tariq, Muhammad Usman. "AI-Powered Business Process Automation." In Advances in Finance, Accounting, and Economics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7357-6.ch010.

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This chapter examines how automating business processes and changing management practices can be achieved through the use of artificial intelligence (AI). It draws attention to the increasing use of AI across a range of industries and emphasizes how it can improve productivity judgment and overall business performance. The chapter looks at the major managerial tasks that AI supports like employee engagement and performance management and offers case studies and real-world application insights. Businesses can use AI without sacrificing data security or fairness by taking ethical issues privacy
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Pramanik, Sabyasachi. "AI-Powered Hospital Accounting." In Risks and Challenges of AI-Driven Finance. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2185-0.ch013.

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Healthcare organizations have unique challenges in preserving their financial stability. Due to the rising cost of healthcare, changing payment models, and the need to provide patients with high-quality treatment, hospitals are under continual pressure to optimize their financial operations. Conventional hospital accounting methods may not be enough in this rapidly evolving environment. The potential of artificial intelligence (AI) to transform hospital accounting and provide a means of enhancing financial stability is explored in this chapter. Automation, data analytics, and advanced machine
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Pramanik, Sabyasachi. "AI-Powered Hospital Accounting." In Recent Developments in Financial Management and Economics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2683-1.ch008.

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Healthcare organizations have unique challenges in preserving their financial stability. Due to the rising cost of healthcare, changing payment models, and the need to provide patients with high-quality treatment, hospitals are under continual pressure to optimize their financial operations. Conventional hospital accounting methods may not be enough in this rapidly evolving environment. The potential of artificial intelligence (AI) to transform hospital accounting and provide a means of enhancing financial stability is explored in this chapter. Automation, data analytics, and advanced machine
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Pramanik, Sabyasachi. "AI-Powered Hospital Accounting." In Exploring Global FinTech Advancement and Applications. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1561-3.ch005.

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Healthcare organizations have unique challenges in preserving their financial stability. Due to the rising cost of healthcare, changing payment models, and the need to provide patients with high-quality treatment, hospitals are under continual pressure to optimize their financial operations. Conventional hospital accounting methods may not be enough in this rapidly evolving environment. The potential of artificial intelligence (AI) to transform hospital accounting and provide a means of enhancing financial stability is explored in this chapter. Automation, data analytics, and advanced machine
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Şen, Ali. "The Misleading Power of AI-Powered Automation." In Consumer, Marketing, AI: Dark Sides and Ethics. Özgür Yayınları, 2025. https://doi.org/10.58830/ozgur.pub710.c3023.

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Automation refers to the use of technology that attempts to perform a procedure or process without human intervention. Automation technologies aim to minimise human intervention and increase factors such as efficiency, productivity, quality, and accuracy. While Artificial Intelligence (AI)-supported automation solutions offer many advantages for users such as customisation, recommendation systems and content creation, they also pose risks such as biased algorithms or data privacy concerns. Despite the growing use of AI-supported automation systems in the marketing, insufficient studies mention
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Conference papers on the topic "AI-Powered Automation"

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Swetha, Ch, M. Ismail, J. Anil, K. Venkatesh, and S. Rasheed. "AI Powered Academic Assistant Using Conversational AI." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012528.

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Kshirsagar, Vanita G., Digvijay G. Bhosale, Shubhangi Suryawanshi, et al. "Generative AI Powered Forensic Device." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774908.

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Patel, Jay, Krishna Tale, Ranjeet Vasant Bidwe, Sashikala Mishra, Ganesh Deshmukh, and Sumit Shinde. "PromptArt: AI-Powered Image Generation." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10775159.

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Wenhui, Li, Lu Guiping, Zhang Qichen, Wen Yuhuan, Wang Kejun, and Hu Weidong. "AI-Powered Classification of Artistic Attributes." In 2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE). IEEE, 2024. https://doi.org/10.1109/iceace63551.2024.10898737.

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Kshirsagar, Vanita G., Shubhangi Suryawanshi, Akshad Pawar, et al. "Fun Soundify: Music Generation powered by AI." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774982.

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Gamne, Piyush, Prathmesh Gaikwad, Prajakta Jadhav, Shridhar Gore, and Kapil N. Vhatkar. "AI-Powered Energy Management System for Industry." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774788.

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Kalaiselvi, R., Duvarakesh R, Sanjeev Kumar R. C, Nithya Sri N, Jayashri M, and Monika Suresh. "AI powered Load Balancer in Cloud Computing." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012236.

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Kumar, M. Jaswanth, Dhanush Bitra, Rohan Titus, Dill Jazz, and Cinu C. Kiliroor. "Utilizing AI-powered Drones for Efficient Flood Rescue Operations." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841559.

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S, Maheswari, G. G. Gokilam, S. Navaneethan, Ayman Amer, Neeraj Sunheriya, and P. Sapthika Parthi. "AI-Powered VLSI Design Automation for Faster Chip Production in Emerging Technologies." In 2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT). IEEE, 2025. https://doi.org/10.1109/dicct64131.2025.10986593.

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Javaid, Muhammad Saqib, Rimsha Chauhdary, Aashir Waleed, Farhan Ahmad, Muhammad Zubair, and Osama Tariq. "AI-Powered Smart Inventory Management: Enhancing Efficiency Through Predictive Analytics and Automation." In 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC). IEEE, 2025. https://doi.org/10.1109/icetecc65365.2025.11070285.

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Reports on the topic "AI-Powered Automation"

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Pasupuleti, Murali Krishna. Automated Smart Contracts: AI-powered Blockchain Technologies for Secure and Intelligent Decentralized Governance. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv425.

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Abstract: Automated smart contracts represent a paradigm shift in decentralized governance by integrating artificial intelligence (AI) with blockchain technologies to enhance security, scalability, and adaptability. Traditional smart contracts, while enabling trustless and automated transactions, often lack the flexibility to adapt to dynamic regulatory frameworks, evolving economic conditions, and real-time security threats. AI-powered smart contracts leverage machine learning, reinforcement learning, and predictive analytics to optimize contract execution, detect fraudulent transactions, and
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Pasupuleti, Murali Krishna. Decentralized Creativity: AI-Infused Blockchain for Secure and Transparent Digital Innovation. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi125.

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Abstract The convergence of artificial intelligence (AI) and blockchain technology is transforming the creative economy by enabling secure, transparent, and decentralized innovation in digital content creation, intellectual property management, and monetization. Traditional creative industries are often constrained by centralized platforms, opaque copyright enforcement, and unfair revenue distribution, which limit the autonomy and financial benefits of creators. By leveraging blockchain’s immutable ledger, smart contracts, and non-fungible tokens (NFTs), digital assets can be authenticated, to
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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,
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Pasupuleti, Murali Krishna. Quantum Intelligence: Machine Learning Algorithms for Secure Quantum Networks. National Education Services, 2025. https://doi.org/10.62311/nesx/rr925.

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Abstract: As quantum computing and quantum communication technologies advance, securing quantum networks against emerging cyber threats has become a critical challenge. Traditional cryptographic methods are vulnerable to quantum attacks, necessitating the development of AI-driven security solutions. This research explores the integration of machine learning (ML) algorithms with quantum cryptographic frameworks to enhance Quantum Key Distribution (QKD), post-quantum cryptography (PQC), and real-time threat detection. AI-powered quantum security mechanisms, including neural network-based quantum
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