Relevant bibliographies by topics / AI-driven Services

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'AI-driven Services'

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

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Journal articles on the topic "AI-driven Services"

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Orgeron, Craig P., William Rials, and Sofiia Druchyna. "The AI-Driven State." International Journal of Electronic Government Research 21, no. 1 (2025): 1–24. https://doi.org/10.4018/ijegr.381327.

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Good governance is increasingly synonymous with the ability to deliver connected, digital services. The COVID-19 pandemic tested public sector agencies with intensified expectations and increased service demands, exposing shortcomings in online service delivery. This article examines how the pandemic accelerated digital transformation and presents an opportunity to develop robust government-as-a-service (GaaS) platforms, cloud-based infrastructures that enable governments to deliver public services more efficiently. It outlines the historical evolution of e-government, summarizes insights from
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Sandeep Kulkarni, Shradha A. Sudevan, Tanmay Chaure, and Sakshi Gulve. "AI-Driven Optimization of Emergency Medical Services." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 697–706. https://doi.org/10.30574/wjaets.2025.15.2.0572.

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Timely and informed response in emergency medical services (EMS) can significantly increase survival rates. Conventional ambulance services encounter delays in recognizing patients, accessing medical records, and coordinating communication between on-site teams and medical facilities. This study introduces an AI-driven ambulance system that incorporates real-time facial recognition, GPS tracking, and retrieval of patient information through biometric authentication. A compact machine learning model (MobileFaceNet) is implemented on Android using TensorFlow Lite, allowing for instantaneous faci
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Hasan, Rakibul, Syeda Farjana Farabi, Md Kamruzzaman, Md Khokan BHUYAN, Sadia Islam Nilima, and Atia Shahana. "AI-Driven Strategies for Reducing Deforestation." American Journal of Engineering and Technology 6, no. 6 (2024): 6–20. http://dx.doi.org/10.37547/tajet/volume06issue06-02.

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Recent advancements in data science, coupled with the revolution in digital and satellite technology, have catalyzed the potential for artificial intelligence (AI) applications in forestry and wildlife sectors. Recognizing the critical importance of addressing land degradation and promoting regeneration for climate regulation, ecosystem services, and population well-being, there is a pressing need for effective land use planning and interventions. Traditional regression approaches often fail to capture underlying drivers' complexity and nonlinearity. In response, this research investigates the
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Jaiswal, Rakesh. "AI-Driven Vehicle Assistance Platform with Geolocation Services." International Journal of Scientific Research and Engineering Trends 10, no. 6 (2024): 3244–48. https://doi.org/10.61137/ijsret.vol.10.issue6.429.

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Ma, Ming-Hui. "Exploring AI-Driven Innovations in Administrative Management Services." Global Economic Perspectives 3, no. 2 (2025): 0. https://doi.org/10.37155/2972-4813-0302-2.

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Babatunde Adeyeri, Toluwani. "Economic Impacts of AI-Driven Automation in Financial Services." International Journal of Scientific Research and Management (IJSRM) 12, no. 07 (2024): 6779–91. http://dx.doi.org/10.18535/ijsrm/v12i07.em07.

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Artificial Intelligence (AI)-driven automation is increasingly transforming the financial services industry, promising significant economic benefits such as enhanced efficiency, cost reductions, and improved customer experiences. This research paper delves into the economic impacts of AI-driven automation within this sector, examining both the positive and negative ramifications. The literature review provides a historical context of automation in financial services and discusses contemporary AI technologies like machine learning and robotic process automation that are pivotal in this transfor
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Snigdha, Esrat Zahan, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, MD Mahbub Rabbani, and Saif Ahmad. "AI-Driven Customer Insights in IT Services: A Framework for Personalization and Scalable Solutions." American Journal of Engineering and Technology 07, no. 03 (2025): 35–39. https://doi.org/10.37547/tajet/volume07issue03-04.

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New developments in Artificial Intelligence (AI) in IT services have drastically altered how companies use customer insights to supply personalized and scalable responses to a wide variety of client necessities. The focus of this study consists in the use of AI tools and algorithms in customer data analysis, but also in the sense that they are useful for providing targeted and efficient IT service solutions. The findings are robust because a mixed-methods approach was employed, using qualitative analysis of case studies and quantitative evaluations of service outcomes. The results show that ad
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Sreerangapuri, Ashok. "AI-Driven Managed Services: Automating Tier 1 to Tier 3 Operations for Scalable Customer Support." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (2020): 1752–62. http://dx.doi.org/10.61841/turcomat.v11i1.14931.

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The increasing complexity of IT services and the demand for faster issue resolution have accelerated the adoption of AI in managed services. This paper explores the deployment of AI-driven managed services to automate Tier 1 to Tier 3 operations, focusing on scalable customer support models. The research discusses the role of AI in predictive issue detection, natural language processing (NLP) for chatbot-based assistance, and automated ticket management. It also presents real-world examples where AI-enabled systems have reduced downtime, improved service levels, and optimized operational costs
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Thasleena K, Fathimath, and P Santhi. "Artificial Intelligence Driven E-Services of New Generation Banks: Customer Perception, Attitude and Response Analysis." International Research Journal of Multidisciplinary Scope 06, no. 03 (2025): 876–88. https://doi.org/10.47857/irjms.2025.v06i03.04268.

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The rapid integration of Artificial Intelligence (AI) in the banking sector has ushered in a new era of digital financial services, offering unprecedented efficiency, personalization, and customer engagement. This study aims to assess the customer perceptions, attitude, and response towards AI-driven e-services of New Generation banks and to examine the customers’ acceptance of AI-driven e-services of select New Generation banks. A sample size of 351 customers is determined and data collection is executed through structured interview schedules, ensuring respondent anonymity to encourage honest
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Shittu, Adenike Kudirat. "Advances in AI-driven credit risk models for financial services optimization." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 1 (2022): 660–76. https://doi.org/10.54660/.ijmrge.2022.3.1-660-676.

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The rapid evolution of artificial intelligence (AI) has significantly transformed credit risk modeling, enhancing the efficiency and accuracy of financial services optimization. Traditional credit risk models, often reliant on static data and simplistic statistical techniques, are increasingly being replaced by AI-driven systems that integrate machine learning algorithms, big data analytics, and real-time insights. These advanced models enable financial institutions to assess creditworthiness with greater precision by analyzing diverse datasets, including transaction histories, behavioral patt
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Dissertations / Theses on the topic "AI-driven Services"

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Fynn, Angelo Winston Ronaldo. "An appreciative enquiry of an NGO that delivers empowerment driven education support services." Diss., 2011. http://hdl.handle.net/10500/5104.

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The South African education system is in crisis; with low matric pass rates, high dropout rates, teacher strikes, rising pregnancy rates among teenaged learners, and assaults by learners on educators and other learners. The system is unable to cope with the multiple demands placed on it and a number of NGOs are stepping in to aid the system. This study is an evaluation of an NGO aimed at developing learners through the application of the Appreciative Inquiry approach. The Appreciative Inquiry approach is a method for generating change within an organisation by looking at what works in the orga
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Books on the topic "AI-driven Services"

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Chatbots: The AI-Driven Front-Line Services for Customers. IntechOpen, 2023.

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Sheth, Amit, Richard Goodwin, and Prashant Doshi. AI-Driven Technologies for Services-Oriented Computing: Papers from the 2006 AAAI Workshop. AAAI Press, 2006.

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Shneiderman, Ben. Human-Centered AI. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192845290.001.0001.

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Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of artificial intelligence (AI) to include human-centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view to embrace a human-centered perspective can shape the future of technology so as to better serve human needs. Educators, designers, software engineers, product managers, evaluators, and government agency staffers can build on AI-driven technologies to design products and services that make life better for people and enable people to care for each other.
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Susskind, Richard. Tomorrow's Lawyers. 3rd ed. Oxford University PressOxford, 2023. https://doi.org/10.1093/9780192864727.001.0001.

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Abstract This book examines the future of legal services in the 2020s, predicting a shift towards online courts, AI-driven global legal businesses, disruptive technologies, liberalised markets, and emerging legal careers. Richard Susskind challenges the belief that law and lawyers remain immune to technological change, exposing the unaffordability and inaccessibility of legal services and urging the next generation to drive innovation. He provides practical guidance for aspiring and practising lawyers, calling for the creation of modern systems that replace outdated legal work and improve acce
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Book chapters on the topic "AI-driven Services"

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Nguyen, Mai, Ying Chen, Thanh Huong Nguyen, Sara Shawky Habashi, Sara Quach, and Park Thaichon. "Artificial intelligence (AI)-driven services." In Artificial Intelligence for Marketing Management. Routledge, 2022. http://dx.doi.org/10.4324/9781003280392-8.

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Bhattacharjee, Sandipan, Jui Jagtap, Sabyasachi Biswas, and Bhaskar Saha. "Evolution of AI-Driven Services: Comprehensive Literature Learning." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-6176-0_1.

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Lee, Geunhee, Sukyung Yun, and Sanghyun Kwon. "AI, My Financial Advisor?: Expectations for AI-Driven Pension Management Services." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93412-4_13.

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Seidel, Patrick, and Steffen Späthe. "Development and Validation of AI-Driven NLP Algorithms for Chatbots in Requirement Engineering." In Innovations for Community Services. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60433-1_9.

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Sheth, Jagdish N., Varsha Jain, Gourav Roy, and Amrita Chakraborty. "Discovering AI-Driven Services for Service Wellbeing: An Insider Perspective: An Abstract." In Optimistic Marketing in Challenging Times: Serving Ever-Shifting Customer Needs. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24687-6_150.

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Yahaya, Wan Ahmad Jaafar Wan, and Yahaya Muhammad. "AI-Driven Innovations for Comprehensive Campus-Wide Monitoring Support Services." In Advances in Science, Technology & Innovation. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-56848-0_11.

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Sahoo, Deepak K., Anish Kumar, Preet Kanwal, and Rohit Sabnis. "AI-Driven Market Intelligence." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3373-0219-5.ch005.

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AI-driven market intelligence is revolutionizing how businesses analyze and respond to market dynamics. This chapter explores the integration of artificial intelligence (AI) tools in competitive analysis and market positioning. It discusses the foundations of market intelligence, the role of AI in enhancing competitive strategies, and the practical tools and technologies available for implementation. The chapter also addresses the challenges and ethical considerations associated with AI, including data quality, integration with legacy systems, and privacy concerns. Future trends such as autono
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Mishra, Shreeansh, Mansurali Anifa, and Jigisha Naidu. "AI-Driven Personalization in Tourism Services." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7388-0.ch001.

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The rapid advancement of artificial intelligence (AI) is transforming the global tourism industry, offering new opportunities for service personalization and enhanced customer experiences. AI-driven personalization is rapidly reshaping the tourism industry by tailoring services to meet individual customer preferences. In India, this technological advancement is particularly impactful, offering significant potential to improve tourist satisfaction and business performance. This research article investigates the Impact of AI-driven personalization on the tourism industry in India, focusing on ho
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Kaur, Harjinder, and Shilpa. "AI-Driven Healthcare." In Advances in Electronic Government, Digital Divide, and Regional Development. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7832-8.ch006.

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Artificial Intelligence has brought significant advances in the healthcare sector regarding diagnosis, medication, and patient-centric care. Artificial intelligence technologies, such as natural language processing and machine learning, have been utilized to predict various diseases early to help diagnose and treat them appropriately. In the healthcare sector, integrating AI tools and applications facilitates healthcare services such as remote monitoring and telehealth, hereby improving healthcare accessibility which further aids in continuous patient engagement, monitoring, and care outside t
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Thakur, Jatin, Pooja Kansra, and Preeti Mehra. "AI-Driven Innovation." In Advances in Computational Intelligence and Robotics. IGI Global Scientific Publishing, 2025. https://doi.org/10.4018/979-8-3693-9611-7.ch008.

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Through a focus on the growth and sustainability benefits for SMEs Leveraging AI powered innovation are discussed in this chapter. AI can help improve operational efficiency, provide data-based insights, and enable tailored consumer experiences—factors that SMEs are looking for to tackle resource constraints and high competition. AI's ability to enhance automation, marketing, supply chain management and financial operations open the floodgates to new opportunities for scalability and innovation. Moreover, AI helps make operations more sustainable by optimizing energy consumption, minimizing wa
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Conference papers on the topic "AI-driven Services"

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Petrik, Dimitri, and Florian Härer. "Conceptualizing AI-driven Knowledge Services for a Circular Economy." In 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC). IEEE, 2024. https://doi.org/10.1109/ice/itmc61926.2024.10794308.

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Alzboon, Mowafaq Salem, Muhyeeddin Alqaraleh, Mutaz Abdel Wahed, Abdullah Alourani, Ahmad Fuad Bader, and Mohammad Al-Batah. "AI-Driven UAV Distinction: Leveraging Advanced Machine Learning." In 2024 7th International Conference on Internet Applications, Protocols, and Services (NETAPPS). IEEE, 2024. https://doi.org/10.1109/netapps63333.2024.10823488.

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Wang, Yuanda, Qiben Yan, Thea Knowles, and Daryn Cushnie-Sparrow. "ClearAI: AI-Driven Speech Enhancement for Hypophonic Speech." In 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom). IEEE, 2024. https://doi.org/10.1109/healthcom60970.2024.10880741.

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Abdulhasan, Maki Mahdi, Ahmed Hussain, Mariam Fadel Ali, Mustafa Zuhaer Nayef Al-Dabagh, and Jawad Radhi Rustum Al-Assal. "AI-Driven Privacy Analysis of IoT Services in Edge Computing." In 2024 International Conference on Emerging Research in Computational Science (ICERCS). IEEE, 2024. https://doi.org/10.1109/icercs63125.2024.10895120.

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Chand, Repu Dhaman, Ranjana Rajnish, Hem Chandra, Priyanka Tiwari, and Prasanta Kumar Pradhan. "Building an AI-Driven Symptom Checker Using Python Django for Enhanced Telemedicine Services." In 2025 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2025. https://doi.org/10.1109/icict64420.2025.11005056.

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Peters, Sebastian, Fikret Sivrikaya, Satyatma Winarga Rochadi, and Amina Ayadi-Miessen. "Cobra-5G – an AI-Driven Solution for Resilient Industrial Applications in Private 5G Environments." In 2024 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS). IEEE, 2024. https://doi.org/10.1109/iccns62192.2024.10776531.

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Khan, Nauman Ali, Ijaz Bashir, Mudassar Ali Khan, Waqas Wazir, Ikram Ud Din, and Suhaidi Hassan. "Investigating the Potential of AI-Driven Data Analytics for eARMS: A Survey-Based Research." In 2024 7th International Conference on Internet Applications, Protocols, and Services (NETAPPS). IEEE, 2024. https://doi.org/10.1109/netapps63333.2024.10823524.

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Saboune, Farah. "AI-Driven Marketing Strategies: Unlocking Growth Potential and Operational Efficiency in the Digital Communication Landscape." In 2024 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS). IEEE, 2024. https://doi.org/10.1109/iccns62192.2024.10776195.

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Mukred, Muaadh, Lee Shun Tian, Tiong Yew Tang, Fathey Mohammed, and Amran Ahmad. "Leveraging AI-Driven Topic Modeling for Business Analytics: A Bibliometric Analysis of Trends in Antidepressant Efficacy." In 2024 7th International Conference on Internet Applications, Protocols, and Services (NETAPPS). IEEE, 2024. https://doi.org/10.1109/netapps63333.2024.10823614.

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J, Ida Christy, Abisha D, Navedha Evanjalin R, Sriranjani K, Dimple Abirami S, and Guru Varshini B. "MedConnect - A Comprehensive AI-driven Platform for Seamless Patient care and Optimization of Medical Services." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714762.

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Reports on the topic "AI-driven Services"

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Lo, Leo S., and Cynthia Hudson Vitale. Evolving AI Strategies in Libraries: Insights from Two Polls of ARL Member Representatives over Nine Months. Association of Research Libraries, 2024. http://dx.doi.org/10.29242/report.aipolls2023.

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The onset of new, more accessible, artificial intelligence (AI) technologies marks a significant turning point for libraries, ushering in a period rich with both unparalleled opportunities and complex challenges. In this era of swift technological transformation, libraries stand at a critical intersection. To effectively chart this transition, two quick polls were conducted among members of the Association of Research Libraries (ARL). The first poll, which ran in April 2023, provided an initial snapshot of the AI landscape in libraries. The second poll, carried out in December 2023, continued
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Azzutti, Alessio, Mark Cummins, Iain MacNeil, and Chuks Otioma. Simplifying Compliance: The Role of AI and RegTech. University of Glasgow and University of Strathclyde, 2025. https://doi.org/10.36399/gla.pubs.351604.

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The Financial Regulation Innovation Lab (FRIL) is dedicated to simplifying compliance through emerging technologies, with Artificial Intelligence (AI) representing the latest evolution in regulatory technology (RegTech). Building on previous research and industry engagement—including workshops, blogs, webinars, and a micro-credential course—this White Paper presents key considerations for the conceptualisation, design, and implementation of AI-driven compliance systems. We begin by examining the nature of regulatory rules and the compliance process before exploring the complexities that challe
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Pasupuleti, Murali Krishna. Empathetic AI in Action: Transforming Customer Service with Emotional Intelligence. National Education Services, 2025. https://doi.org/10.62311/nesx/rr725.

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Abstract: This article explores the transformative impact of Emotionally Intelligent AI on customer service, focusing on how AI systems are designed to understand and respond to human emotions with empathy and precision. It delves into the core technologies, such as sentiment analysis, emotion recognition models, and reinforcement learning, that enable AI to provide emotionally aware interactions. Practical applications are discussed, including AI-powered customer support, personalized experiences, and crisis management solutions. The Article also covers the psychological foundations of AI-dri
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