Relevant bibliographies by topics / Conversational Workflow Management

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

Academic literature on the topic 'Conversational Workflow Management'

Author: Grafiati
Published: 8 September 2021
Last updated: 29 July 2025

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Journal articles on the topic "Conversational Workflow Management"

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Gangapatnam, Krupal. "Revolutionizing Enterprise Resource Planning Through AI Integration: A Technical Deep Dive." European Journal of Computer Science and Information Technology 13, no. 15 (2025): 55–69. https://doi.org/10.37745/ejcsit.2013/vol13n155569.

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The integration of Large Language Models (LLMs) in Enterprise Resource Planning (ERP) systems represents a transformative advancement in business process automation. The implementation focuses on four key areas: dynamic data querying through natural language processing, automated workflow communications, intelligent error management, and conversational AI integration. These innovations have revolutionized how organizations interact with their ERP systems, enabling intuitive data access, streamlined workflows, proactive error handling, and enhanced user experiences. The adoption of LLM-enhanced
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Sivaprasad Yerneni Khaga. "Microsoft syntex: Transforming enterprise content management with ai-driven intelligence." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 2059–67. https://doi.org/10.30574/wjarr.2025.26.2.1889.

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Microsoft Syntex represents a significant leap forward in enterprise content management, leveraging sophisticated artificial intelligence to transform how organizations process, classify, and extract value from their document repositories. This article explores Syntex's evolution from SharePoint's traditional document management capabilities into a comprehensive AI-powered solution, examining its technical architecture, implementation methodologies, and real-world applications. Through an analysis of its integration with Azure Cognitive Services, custom machine learning capabilities, and workf
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Hassani, Hossein, and Emmanuel Sirmal Silva. "The Role of ChatGPT in Data Science: How AI-Assisted Conversational Interfaces Are Revolutionizing the Field." Big Data and Cognitive Computing 7, no. 2 (2023): 62. http://dx.doi.org/10.3390/bdcc7020062.

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ChatGPT, a conversational AI interface that utilizes natural language processing and machine learning algorithms, is taking the world by storm and is the buzzword across many sectors today. Given the likely impact of this model on data science, through this perspective article, we seek to provide an overview of the potential opportunities and challenges associated with using ChatGPT in data science, provide readers with a snapshot of its advantages, and stimulate interest in its use for data science projects. The paper discusses how ChatGPT can assist data scientists in automating various aspe
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Hope Ehiaghe Omokhoa, Chinekwu Somtochukwu Odionu, Chima Azubuike, and Aumbur Kwaghter Sule. "AI-Powered Fintech innovations for credit scoring, debt recovery, and financial access in Microfinance and SMEs." Gulf Journal of Advance Business Research 2, no. 6 (2024): 411–22. https://doi.org/10.51594/gjabr.v2i6.55.

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The integration of artificial intelligence in fintech is revolutionizing financial services, particularly for microfinance institutions and small and medium-sized enterprises (SMEs). This paper explores the transformative impact of AI-powered innovations in credit scoring, debt recovery, and financial access. AI-driven credit scoring leverages alternative data and advanced machine learning techniques to enhance accuracy, inclusivity, and efficiency, addressing the limitations of traditional methods. In debt recovery, AI optimizes collection processes through predictive analytics, workflow auto
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Bhalchandra B, Prof Mundhe. "Health Care Chatbot." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26399.

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Artificial intelligence (AI) is at the forefront of transforming numerous aspects of our lives by modifying the way we analyze information and improving decision-making through problem solving, reasoning, and learning. Machine learning (ML) is a subset of AI that improves its performance based on the data provided to a generic algorithm from experience rather than defining rules in traditional approaches. Advancements in ML have provided benefits in terms of accuracy, decision-making, quick processing, cost-effectiveness, and handling of complex data. Chatbots, also known as chatter robots, sm
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Sallam, Malik. "ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns." Healthcare 11, no. 6 (2023): 887. http://dx.doi.org/10.3390/healthcare11060887.

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ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM). The potential applications of LLMs in health care education, research, and practice could be promising if the associated valid concerns are proactively examined and addressed. The current systematic review aimed to investigate the utility of ChatGPT in health care education, research, and practice and to highlight its potential limitations. Using the PRIMSA guidelines, a systematic search was conducted to retrieve English records in PubMed/MEDLINE and Google Scholar (published research or preprints) tha
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BRIAN BLAKE, M. "AGENT-BASED COMMUNICATION FOR DISTRIBUTED WORKFLOW MANAGEMENT USING JINI TECHNOLOGIES." International Journal on Artificial Intelligence Tools 12, no. 01 (2003): 81–99. http://dx.doi.org/10.1142/s0218213003001125.

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Agent communication has developed widely over the past decade for various types of multiple agent environments. Originally, most of this research surrounded simulation systems and inference systems. Subsequently, agents are expected to adapt to, dynamically create, and understand evolving conversation policies. This concept of agent communication is not completely necessary in some domains. One such domain is that of distributed workflow management with implications into Electronic Commerce. In this domain, agents are "middle-agents" that represent the distributed components that implement eac
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Wen, Ya, Llewellyn C. M. Tang, and Daniel C. W. Ho. "A BIM-based space-oriented solution for hospital facilities management." Facilities 39, no. 11/12 (2021): 689–702. http://dx.doi.org/10.1108/f-10-2019-0105.

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Purpose This paper aims to propose a space-oriented solution as an interface enabling the knowledge transfer between the building and the facilities management (FM) industry. Design/methodology/approach The research gap is explored based on practical investigations in six large-scale hospitals in China. The theory of engineering systems integration inspires the proposed solution. A practical scenario is demonstrated to explain the workflow of this solution. Findings It is founded that lagging information updates of FM systems in hospital project are one of the main reasons for inefficient and
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Zhou, Hong, KangMing Xu, Qiaozhi Bao, Yan Lou, and Wenpin Qian. "Application of Conversational Intelligent Reporting System Based on Artificial Intelligence and Large Language Models." Journal of Theory and Practice of Engineering Science 4, no. 03 (2024): 176–82. http://dx.doi.org/10.53469/jtpes.2024.04(03).16.

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As large language models gain traction in the financial sector, they are revolutionizing the workflows of financial professionals. From data analysis and market forecasting to risk assessment and customer management, these models demonstrate significant potential and value. By automating data processing tasks, they enhance productivity and empower professionals to derive deeper insights and make more precise decisions. This article explores the application of conversational intelligent reporting systems, leveraging artificial intelligence and large language models, within the financial industr
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Williams, Nikole, and Rachael Underwood. "975 Implementation of RN Led RL Review Committee." Journal of Burn Care & Research 46, Supplement_1 (2025): S381. https://doi.org/10.1093/jbcr/iraf019.506.

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Abstract Introduction Our 2023 ABA Verification identified the need to track ongoing quality improvement projects and workflows for efficacy. Establishing a process for this specific need inspired the creation of this committee. RL (report and learn) Reports and Debriefing tools are sent to this committee for loop closure and tracking of quality improvement processes. This is a delegating committee that does not implement projects but filters them to the appropriate established workgroups throughout our burn center. Methods The committee is comprised of RN lead, Shared governance committee cha
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Dissertations / Theses on the topic "Conversational Workflow Management"

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Scheele, Stephan, Daniel Mau, David Foullois, and Frank Mantwill. "Digitale Arbeitsumgebungen in der Produktentstehung: Mit Action Design Research Web- Anwendungen zur produktiven Zusammenarbeit entwickeln." Thelem Universitätsverlag & Buchhandlung GmbH & Co. KG, 2021. https://tud.qucosa.de/id/qucosa%3A75904.

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Um effektiv auf neue Marktgegebenheiten reagieren zu können, versuchen Industrieunternehmen ihre internen Geschäftsabläufe schlank und effizient zu halten. Dies stößt jedoch an Grenzen, wenn tradierte Unternehmens-IT im Zuge der digitalen Transformation mit neuen Geschäfts- und Bedienfähigkeiten ausgestattet werden soll. Die Integration von Systemen und Daten sowie die prozessuale Steuerung einer sich neu ordnenden IT-Landschaft verlangt nach neuen Konzepten, die die Besonderheit von kooperativen Wertschöpfungsprozessen berücksichtigen. Der Beitrag stellt die Anwendung der Action Design Resear
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Books on the topic "Conversational Workflow Management"

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Ljungberg, Jan. From workflow to conversation. Dept. of Informatics, Göteborg University, 1997.

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Book chapters on the topic "Conversational Workflow Management"

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Weber, Barbara, Werner Wild, and Ruth Breu. "CBRFlow: Enabling Adaptive Workflow Management Through Conversational Case-Based Reasoning." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28631-8_32.

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Borghoff, Uwe M., and Johann H. Schlichter. "Workflow Management, Conversation and Coordination Systems." In Computer-Supported Cooperative Work. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04232-8_7.

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Sharma, Dr Trilok. "EMBRACING ARTIFICIAL INTELLIGENCE IN MANAGEMENT: NAVIGATING THE FUTURISTIC LANDSCAPE." In Futuristic Trends in Management Volume 3 Book 13. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bfma13p3ch1.

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The rapid advancement of technology, particularly artificial intelligence (AI), is transforming the world of management. This chapter delves into the futuristic trends in management, focusing on the integration of AI into various managerial aspects, its potential benefits, challenges, and strategies for successful adoption. AI-driven decision-making aids managers in data-driven processes, identifying patterns, trends, and insights through AI algorithms. AI's impact on human resources management includes AI-enabled talent acquisition and recruitment, enhanced employee experience through AI-driv
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Devika, G., and P. Georgia Chris Selwyna. "Speech Recognition and Synthesis Integrating Voice Interaction in Intelligent Systems for Industrial Use Cases." In Applications of Natural Language Processing in Intelligent Systems and Conversational AI for Industry. RADemics Research Institute, 2025. https://doi.org/10.71443/9788197933691-08.

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This chapter explores the transformative impact of speech recognition and synthesis technologies in industrial applications, focusing on their integration within intelligent systems for diverse sectors. By examining their role in enhancing operational efficiency, decision-making, and user interaction, the chapter highlights how these technologies are reshaping industries such as manufacturing, healthcare, logistics, and energy. Speech-activated workflows, predictive analytics, and real-time incident management demonstrate the practical benefits of voice interaction in optimizing resource manag
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Mogal, Amit Karbhari, and Dineshkumar S. "Building Scalable NLP Solutions Challenges and Strategies for Implementing Conversational AI in Enterprise Systems." In Applications of Natural Language Processing in Intelligent Systems and Conversational AI for Industry. RADemics Research Institute, 2025. https://doi.org/10.71443/9788197933691-15.

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This chapter explores the challenges and strategies associated with building scalable Natural Language Processing (NLP) systems for enterprise applications. As enterprises increasingly rely on NLP for tasks such as customer engagement, automation, and decision-making, the demand for scalable solutions has never been higher. The chapter highlights key aspects such as real-time data processing, the evolution of conversational AI, and the importance of automating data preprocessing workflows to handle large, diverse datasets efficiently. It also addresses the critical role of data management, ens
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Conference papers on the topic "Conversational Workflow Management"

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Braik, Fahed Mubarak, Abdulla Sulaiman Al Shehhi, Luigi Saputelli, et al. "Automated Subsurface Knowledge ASK Thamama Retrieval Engine Driven by Conversational Text Analytics and NLP - Lessons Learned in Managing Large Volume of Documents in Abu Dhabi Assets." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206372-ms.

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Abstract The purpose of this paper is to communicate the experiences in the development of an innovative concept named "ASK Thamama" as an automated data and information retrieval engine driven by artificial intelligence techniques including text analytics and natural language processing. ASK is an AI enabled conversational search engine used to retrieve information from various internal data repositories using natural language queries. The text processing and conversational engine concept is built upon available open-source software requiring minimum coding of new libraries. A data set with 1
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Al Lawati, Sajad, Tariq Al Sulaimani, and Al Salt Al Bahri. "Conversational AI - ADAM: A Solution to Enhance Well Engineering Decision-Making with Retrieval-Augmented Generation (RAG)." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2025. https://doi.org/10.2118/224972-ms.

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Abstract The Adam project revolutionizes information retrieval and decision-making at PDO by deploying a secure, on-premise AI system using Retrieval-Augmented Generation (RAG). Designed for the oil and gas industry, Adam leverages Large Language Models (LLMs) to deliver real-time, precise insights, enhancing efficiency and reducing reliance on manual document searches. Adam integrates RAG technology, combining real-time data retrieval with LLMs trained on PDO's proprietary datasets. Deployed on-premise for security compliance, the system was fine-tuned in collaboration with internal teams and
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Kulkarni, Sukrut Shridhar, and Marliana Bt Mohammad. "Improvising Integrated Gas Planning Through Network Optimization for End-To-End Value Chain Enhancement." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21235-ms.

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Abstract This paper describes a suggestion to improvise an integrated gas planning process through network optimization. As a prudent operator it is imperative to formulate long-term gas supply outlook and scenarios to ensure efficient and effective resource management with due considerations of growth strategies while maximizing value for purpose of production-focused conversations, technical assessment of forthcoming developments, commercial arrangement policy and strategic expansions. Also, it necessitates to develop and implement resolution plan arising from supply planning areas i.e. shor
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