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Author: Rubee Singh Publisher: Walter de Gruyter GmbH & Co KG ISBN: 3111173259 Category : Business & Economics Languages : en Pages : 249
Book Description
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 Publisher: Walter de Gruyter GmbH & Co KG ISBN: 3111173259 Category : Business & Economics Languages : en Pages : 249
Book Description
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: Nuno Moniz Publisher: Springer Nature ISBN: 3031490088 Category : Computers Languages : en Pages : 551
Book Description
The two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023. The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies.
Author: Kaur, Gaganpreet Publisher: IGI Global ISBN: Category : Business & Economics Languages : en Pages : 498
Book Description
As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.
Author: Kumar, Sanjeev Publisher: IGI Global ISBN: Category : Business & Economics Languages : en Pages : 389
Book Description
In an era where technology and hospitality converge, the models of travel and lodging are undergoing a transformative shift known as hybrid hospitality. As modern travelers' expectations evolve and digital transformation becomes a cornerstone across industries, the infusion of technology into hospitality is not merely an option but an imperative. A comprehensive resource is needed to explore the compelling forces driving the demand for enhanced technological capabilities within hybrid hospitality, specifically focusing on artificial intelligence (AI). Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality delves into various themes integral to this investigation, from delivering personalized experiences to ensuring productivity and security in global hospitality. It directs attention to the infinite business opportunities unfolding worldwide and technology's profound impact on the tourism sector. Embark on a journey through the pages of this comprehensive guide to understand why the seamless integration of technology is preferable and an essential foundation for elevating guest satisfaction and reshaping the global hospitality.
Author: Jochen De Weerdt Publisher: Springer Nature ISBN: 3031509749 Category : Business & Economics Languages : en Pages : 585
Book Description
This book constitutes revised papers from the International Workshops held at the 21st International Conference on Business Process Management, BPM 2023, in Utrecht, The Netherlands, during September 2023. Papers from the following workshops are included:• 7th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2023)• 7th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT 2023)• 19th International Workshop on Business Process Intelligence (BPI 2023)• 16th International Workshop on Social and Human Aspects of Business Process Management (BPMS2 2023)• 2nd International Workshop on Data-Driven Business Process Optimization (BPO 2023)• 11th International Workshop on Declarative, Decision and Hybrid Approaches to Processes (DEC2H 2023)• 1st International Workshop on Digital Twins for Business Processes (DT4BP 2023)• 1st International Workshop on Formal Methods for Business Process Management (FM-BPM 2023) • 2nd International Workshop on Natural Language Processing for Business Process Management (NLP4BPM 2023)• 1st International Workshop on Object-Centric Processes from A to Z (OBJECTS 2023)• 3rd International Workshop on Change, Drift, and Dynamics of Organizational Processes (ProDy 2023) Each of the workshops focused on particular aspects of business process management. Overall, after a thorough review process, 42 full papers were selected from a total of 86 submissions.
Author: Keikhosrokiani, Pantea Publisher: IGI Global ISBN: Category : Business & Economics Languages : en Pages : 514
Book Description
The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.
Author: Azukas, M. Elizabeth Publisher: IGI Global ISBN: 1668472864 Category : Technology & Engineering Languages : en Pages : 345
Book Description
The COVID-19 pandemic caused the largest systemic disruption in history. The pandemic was a complex phenomenon that impacted economic, political, and education systems. The pandemic had widespread business impacts, having forced many businesses to close, and the world is still impacted by the effects of supply chain disruptions. The pandemic also impacted political systems with disputes over mask mandates, lockdowns, and vaccine distribution. The COVID-19 pandemic further caused the most extensive education system disruption in history. The pandemic has highlighted the worlds complex interdependent structures, and it will require a multidisciplinary systems thinking approach for post-pandemic recovery and future pandemic prevention. Reimagining Systems Thinking in a Post-Pandemic World examines the role of systems thinking in a post-pandemic world. It identifies effective models of systems thinking and destems design and generates continuous knowledge building on systems thinking by addressing a multitude of industries and service communities. This book provides value in understanding the complexities of an interconnected world and in the exploration of effective approaches to systems thinking and design. Covering topics such as blended learning, local governments, and systems thinking, this premier reference source is an excellent resource for practitioners, policymakers, healthcare providers, business leaders and managers, educators of both K-12 and higher education, pre-service teachers, administrators and faculty, teacher educators, sociologists, librarians, researchers, and academicians.
Author: Reem Khamis Hamdan Publisher: Springer Nature ISBN: 3031484797 Category : Artificial intelligence Languages : en Pages : 646
Book Description
Zusammenfassung: This book is a comprehensive guide to understanding the potential of artificial intelligence (AI) in improving business functions, as well as the limitations and challenges that come with its implementation. In this book, readers will learn about the various opportunities that AI presents in business, including how it can automate routine tasks, reduce errors, and increase efficiency. The book covers a range of topics, including how AI can be used in financial reporting, auditing, fraud detection, and tax preparation. However, the book also explores the limitations of AI in business, such as the need for skilled professionals, data quality, and the potential for bias. It examines the challenges that companies face when implementing AI in business functions, including the need for ethical considerations, transparency, and accountability. The book is written for business professionals, business leaders, and anyone interested in the potential of AI in business functions. It offers practical advice on how to implement AI effectively and provides insights into the latest developments in AI technology. Through case studies and real-world examples, readers will gain a deeper understanding of how AI can be used to enhance business functions, as well as the potential pitfalls and limitations to be aware of. Overall, "AI in Business: Opportunities and Limitations" is an essential guide for anyone looking to harness the power of AI to improve their business functions, and to stay ahead in an increasingly competitive business environment
Author: Rubee Singh
Author: Rubee Singh
Author: Nuno Moniz
Author: Kaur, Gaganpreet
Author: D. Jude Hemanth
Author: Kumar, Sanjeev
Author: Jochen De Weerdt
Author: Keikhosrokiani, Pantea
Author: Azukas, M. Elizabeth
Author: Reem Khamis Hamdan
Author: Patricia Pesado