Artificial Intelligence Enabled Management

Author : Rubee Singh,Shahbaz Khan,Anil Kumar,Vikas Kumar
Publisher : de Gruyter
Page : 0 pages
File Size : 41,8 Mb
Release : 2024-07-15
Category : Business & Economics
ISBN : 3111171051

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Artificial Intelligence Enabled Management by Rubee Singh,Shahbaz Khan,Anil Kumar,Vikas Kumar Pdf

Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective.

Author : Rubee Singh,Shahbaz Khan,Anil Kumar,Vikas Kumar
Publisher : Walter de Gruyter GmbH & Co KG
Page : 288 pages
File Size : 47,9 Mb
Release : 2024-06-04
Category : Business & Economics
ISBN : 9783111172408

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Artificial Intelligence Enabled Management by Rubee Singh,Shahbaz Khan,Anil Kumar,Vikas Kumar Pdf

Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective.

Author : Agata Stachowicz-Stanusch,Wolfgang Amann
Publisher : Research in Management Education and Development
Page : 0 pages
File Size : 51,7 Mb
Release : 2020
Category : Artificial intelligence
ISBN : 1641138106

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Management and Business Education in the Time of Artificial Intelligence by Agata Stachowicz-Stanusch,Wolfgang Amann Pdf

Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-AI interaction, there is a risk of losing sight of this interaction's goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because "the measure of success for AI applications is the value they create for human lives" (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities' and social sciences' researchers, who can identify cognitive processes and human behaviors. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the 'right' set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today's education infrastructure). We must remember as we have already noticed before "...education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)".

Author : Sandhya Makkar,Gobinath Ravindran,Ripon Kumar Chakrabortty,Arindam Pal
Publisher : CRC Press
Page : 269 pages
File Size : 50,7 Mb
Release : 2024-03-11
Category : Technology & Engineering
ISBN : 9781000929119

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Handbook of Artificial Intelligence for Smart City Development by Sandhya Makkar,Gobinath Ravindran,Ripon Kumar Chakrabortty,Arindam Pal Pdf

This handbook explores smart cities of the future, provides an understanding of their development and management systems, and discusses the technology challenges. It also discusses why and how humankind can benefit from them. Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges covers the whole journey of the development of smart cities, from the foundations to the usage of technologies, including the challenges and issues that policymakers and technologists may face during the concept, development, management, and implementation stage. The book also covers sustainable strategies and safety measures and offers real-life cases and advancements in manufacturing approaches for smart cities. The book includes upcoming AI technologies such as big data analytics, blockchain, machine learning, fault diagnostics, and a lot more. This handbook is intended to appeal to readers from industry and research. The book is also meant for academicians and students from across many disciplines. Moreover, this book is a medium for consultants, government agencies, and policymakers to grapple with topics and perspectives outside their lane

Author : Rajesh Kumar Tripathy,Ram Bilas Pachori
Publisher : CRC Press
Page : 227 pages
File Size : 44,7 Mb
Release : 2024-06-06
Category : Technology & Engineering
ISBN : 9781040028773

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Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing by Rajesh Kumar Tripathy,Ram Bilas Pachori Pdf

The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.

Author : Lawrence S. Maisel,Robert J. Zwerling,Jesper H. Sorensen
Publisher : John Wiley & Sons
Page : 243 pages
File Size : 41,7 Mb
Release : 2022-01-19
Category : Business & Economics
ISBN : 9781119736080

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AI-Enabled Analytics for Business by Lawrence S. Maisel,Robert J. Zwerling,Jesper H. Sorensen Pdf

We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.

Author : Peter Taylor
Publisher : Routledge
Page : 140 pages
File Size : 48,9 Mb
Release : 2021-10-27
Category : Business & Economics
ISBN : 9781000464177

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AI and the Project Manager by Peter Taylor Pdf

Enabling project managers to adapt to the new technology of artificial intelligence, this first comprehensive book on the topic discusses how AI will reinvent the project world and allow project managers to focus on people. Studies show that by 2030, 80 percent of project management tasks, such as data collection, reporting, and predictive analysis, will be carried out by AI in a consistent and efficient manner. This book sets out to explore what this will mean for project managers around the world and equips them to embrace this technological advantage for greater project success. Filled with insights and examples from tech providers and project experts, this book is an invaluable resource for PMO leaders, change executives, project managers, programme managers, and portfolio managers. Anyone who is part of the global community of change and project leadership needs to accept and understand the fast- approaching AI technology, and this book shows how to use it to their advantage.

Author : Singh, Surabhi
Publisher : IGI Global
Page : 289 pages
File Size : 43,8 Mb
Release : 2021-10-15
Category : Business & Economics
ISBN : 9781799879619

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Adoption and Implementation of AI in Customer Relationship Management by Singh, Surabhi Pdf

Integration of artificial intelligence (AI) into customer relationship management (CRM) automates the sales, marketing, and services in organizations. An AI-powered CRM is capable of learning from past decisions and historical patterns to score the best leads for sales. AI will also be able to predict future customer behavior. These tactics lead to better and more effective marketing strategies and increases the scope of customer services, which allow businesses to build healthier relationships with their consumer base. Adoption and Implementation of AI in Customer Relationship Management is a critical reference source that informs readers about the transformations that AI-powered CRM can bring to organizations in order to build better services that create more productive relationships. This book uses the experience of past decisions and historical patterns to discuss the ways in which AI and CRM lead to better analytics and better decisions. Discussing topics such as personalization, quality of services, and CRM in the context of diverse industries, this book is an important resource for marketers, brand managers, IT specialists, sales specialists, managers, students, researchers, professors, academicians, and stakeholders.

Author : Deepak Gupta,Mahmoud Ragab,Romany Fouad Mansour,Aditya Khamparia,Ashish Khanna
Publisher : John Wiley & Sons
Page : 180 pages
File Size : 52,8 Mb
Release : 2022-12-02
Category : Technology & Engineering
ISBN : 9781119812715

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AI-Enabled 6G Networks and Applications by Deepak Gupta,Mahmoud Ragab,Romany Fouad Mansour,Aditya Khamparia,Ashish Khanna Pdf

AI-ENABLED 6G NETWORKS AND APPLICATIONS Provides authoritative guidance on utilizing AI techniques in 6G network design and optimization Written and edited by active researchers, this book covers hypotheses and practical considerations and provides insights into the design of evolutionary AI algorithms for 6G networks, with focus on network transparency, interpretability and simulatability for vehicular networks, space systems, surveillance systems and their usages in different emerging engineering fields. AI-Enabled 6G Networks and Applications includes a review of AI techniques for 6G Networks and will focus on deployment of AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. This book includes the design of a set of evolutionary AI hybrid algorithms with communication protocols, showing how to use them in practice to solve problems relating to vehicular networks, aerial networks, and communication networks. Reviews various types of AI techniques such as AI-empowered mobile edge computing, intelligent handover management, and smart spectrum management Describes how AI techniques manage computation efficiency, algorithm robustness, hardware development, and energy management Identifies and provides solutions to problems in current 4G/5G networks and emergent 6G architectures Discusses privacy and security issues in IoT-enabled 6G Networks Examines the use of machine learning to achieve closed-loop optimization and intelligent wireless communication AI-Enabled 6G Networks and Applications is an essential reference guide to advanced hybrid computational intelligence methods for 6G supportive networks and protocols, suitable for graduate students and researchers in network forensics and optimization, computer science, and engineering.

Author : Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero
Publisher : Springer Nature
Page : 779 pages
File Size : 46,9 Mb
Release : 2021-08-31
Category : Computers
ISBN : 9783030858742

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Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems by Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero Pdf

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Author : Jin Chen,Ikujiro Nonaka
Publisher : Taylor & Francis
Page : 350 pages
File Size : 45,6 Mb
Release : 2022-05-23
Category : Business & Economics
ISBN : 9781000585636

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The Routledge Companion to Knowledge Management by Jin Chen,Ikujiro Nonaka Pdf

Knowledge when properly leveraged and harnessed contributes to effective organizational performance. How much an organization benefits from knowledge would depend on how well knowledge has been managed. There have been challenges to implementing knowledge management in today’s dramatically different world from before. This comprehensive reference work is a timely guide to understanding knowledge management. The book covers key themes of knowledge management which includes the basic framework of knowledge management and helps readers to understand the state of art of knowledge management both from the aspects of theory and practice, from the perspectives of strategy, organization, resources, as well as institution and organizational culture. This reference work reflects the increasingly important role of both philosophy and digital technologies in knowledge management research and practice. This handbook will be an essential resource for knowledge management scholars, researchers and graduate students.

Author : Dirk Ifenthaler,Sabine Seufert
Publisher : Springer Nature
Page : 255 pages
File Size : 41,5 Mb
Release : 2022-10-28
Category : Education
ISBN : 9783031144899

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Artificial Intelligence Education in the Context of Work by Dirk Ifenthaler,Sabine Seufert Pdf

This edited volume remedies existing deficiencies in the literature on artificial intelligence and education in the context of work. The topics addressed by this book are: • Supporting formal and informal learning through AI• Human-machine collaboration for learning at the workplace, including the potential of human-AI interaction in professional and vocational education contexts, design, use, and evaluation of human-AI hybrid systems for learning• Intelligent and Interactive Technologies for Learning, including natural language processing and speech technologies; data mining and machine learning; knowledge representation and reasoning; semantic web technologies, chat bot-mediated learning, and conversational learning, • AI-enabled applications for skills management and personalized learning, such as AI-enabled coaching, personalized skill management, and intelligent tutoring systems. • Case studies for the implementation and use of AI-enabled learning and performance solutions, such as personal learning experience platforms, and automated performance feedback.

Author : Dr Viveak Ballyan
Publisher : LWRN Studio
Page : 127 pages
File Size : 53,8 Mb
Release : 2024-03-26
Category : Business & Economics
ISBN : 9788196725693

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Artificial Intelligence in Human Resource Management by Dr Viveak Ballyan Pdf

As the field of human resource management (HRM) continues to evolve in the era of digital transformation, the integration of artificial intelligence (AI) presents both unprecedented challenges and remarkable opportunities. In this rapidly changing landscape, it has become imperative for HR professionals to understand and harness the power of AI to drive organizational success and enhance employee experiences. In this book, "Artificial Intelligence in Human Resource Management," Dr. Viveak Ballyan, Assistant Director of HR at Amity University Haryana, delves into the intersection of AI and HRM, offering insights, strategies, and practical guidance for navigating the complexities of AI adoption in HR practices. Drawing upon his extensive experience in HR leadership roles and his passion for leveraging technology to optimize HR processes, Dr. Ballyan provides a comprehensive overview of the transformative potential of AI in reshaping the future of HRM. This book serves as a roadmap for HR professionals, managers, educators, and students seeking to understand the implications of AI for HRM and leverage AI technologies effectively to drive organizational performance, foster employee engagement, and navigate ethical considerations. Through a combination of theoretical frameworks, real-world case studies, and practical examples, Dr. Ballyan explores key topics such as AI-based recruitment and selection, talent acquisition strategies, onboarding and training, performance management, employee engagement, workforce planning, ethical and legal implications, change management, and future trends in AI for HRM. As organizations strive to remain competitive in a rapidly evolving digital landscape, the insights and strategies outlined in this book will empower HR professionals to harness the full potential of AI technologies to drive innovation, optimize HR processes, and create a future-ready workforce. Dr. Ballyan's expertise, combined with his dedication to advancing HR practices through technology, makes this book a valuable resource for anyone seeking to navigate the transformative impact of AI on the field of human resource management. I am confident that this book will inspire readers to embrace AI as a catalyst for positive change in HRM and equip them with the knowledge and tools needed to succeed in the digital age of HR management.

Author : Agbotiname Lucky Imoize,Valentina Emilia Balas,Vijender Kumar Solanki,Cheng-Chi Lee,Mohammad S. Obaidat
Publisher : CRC Press
Page : 508 pages
File Size : 52,6 Mb
Release : 2023-10-25
Category : Computers
ISBN : 9781000963182

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Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things by Agbotiname Lucky Imoize,Valentina Emilia Balas,Vijender Kumar Solanki,Cheng-Chi Lee,Mohammad S. Obaidat Pdf

The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook addresses the increased need to tackle security issues and preserve patients’ privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems. Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions. This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others.

Author : Anonim
Publisher : Archers & Elevators Publishing House
Page : 228 pages
File Size : 46,8 Mb
Release : 2024-05-19
Category : Antiques & Collectibles
ISBN : 9789394958302

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INTERNATIONAL CONFERENCE ON ADVANCES IN BUSINESS MANAGEMENT AND INTELLIGENCE SYSTEM-22 by Anonim Pdf