Explainable Artificial Intelligence In The Digital Sustainability Administration

Author : Alhamzah Alnoor
Publisher : Springer Nature
ISBN 13 : 3031637178
Total Pages : 404 pages
Book Rating : 4.79/5 ( download)

DOWNLOAD NOW!

Download or read book Explainable Artificial Intelligence in the Digital Sustainability Administration written by Alhamzah Alnoor and published by Springer Nature. This book was released on with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Alhamzah Alnoor
Publisher : Springer
ISBN 13 : 9783031637162
Total Pages : 0 pages
Book Rating : 4.6X/5 ( download)

DOWNLOAD NOW!

Download or read book Explainable Artificial Intelligence in the Digital Sustainability Administration written by Alhamzah Alnoor and published by Springer. This book was released on 2024-08-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores current research trends in the context of the explainable artificial intelligence’s impact on the digital sustainability trend while delving into case studies on education, tourism, marketing, and finance. These trends are examined through various case studies utilizing distinct analytical methods. The chapters are expected to support scholars and postgraduate students in furthering their research in this field and in recognizing prospective advancements in the applications of artificial intelligence.

Author : Lakshmi D
Publisher : CRC Press
ISBN 13 : 1040038832
Total Pages : 335 pages
Book Rating : 4.33/5 ( download)

DOWNLOAD NOW!

Download or read book Explainable AI (XAI) for Sustainable Development written by Lakshmi D and published by CRC Press. This book was released on 2024-06-26 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.

Author : Mohamed Ahmed Alloghani
Publisher : Springer Nature
ISBN 13 : 3031452143
Total Pages : 228 pages
Book Rating : 4.47/5 ( download)

DOWNLOAD NOW!

Download or read book Artificial Intelligence and Sustainability written by Mohamed Ahmed Alloghani and published by Springer Nature. This book was released on 2023-11-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.

Author : Kumar, Rajeev
Publisher : IGI Global
ISBN 13 :
Total Pages : 295 pages
Book Rating : 4.35/5 ( download)

DOWNLOAD NOW!

Download or read book Sustainable Development in AI, Blockchain, and E-Governance Applications written by Kumar, Rajeev and published by IGI Global. This book was released on 2024-02-09 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.

Author : El Bachir Boukherouaa
Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.52/5 ( download)

DOWNLOAD NOW!

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Author : Alexandre Dolgui
Publisher : Springer Nature
ISBN 13 : 303085910X
Total Pages : 742 pages
Book Rating : 4.07/5 ( download)

DOWNLOAD NOW!

Download or read book Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems written by Alexandre Dolgui and published by Springer Nature. This book was released on 2021-09-01 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Popescu, Cristina Raluca Gh.
Publisher : IGI Global
ISBN 13 :
Total Pages : 397 pages
Book Rating : 4.23/5 ( download)

DOWNLOAD NOW!

Download or read book Intersecting Environmental Social Governance and AI for Business Sustainability written by Popescu, Cristina Raluca Gh. and published by IGI Global. This book was released on 2024-01-16 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the interplay of environmental, social, and governance factors becomes increasingly crucial, the global business landscape faces a monumental challenge. Climate change, social inequities, and economic uncertainties loom large, demanding immediate attention. The integration of Environmental Social Governance (ESG) principles and Artificial Intelligence (AI) technologies emerges as a powerful solution to these challenges. However, navigating the complexities of this integration, understanding its implications, and harnessing its full potential is a formidable task. Academic scholars, policymakers, and practitioners are grappling with a critical question: How can we leverage the convergence of ESG and AI to drive sustainable practices and address pressing global issues? The answer lies in comprehending the multifaceted dimensions of this integration, its ethical considerations, and its transformative potential. To gain these insights, a comprehensive resource is needed, one that offers a deep dive into ESG-AI integration, delving into empirical research, practical applications, and ethical concerns.Intersecting Environmental Social Governance and AI for Business Sustainability is a book that answers the call to action for this pressing challenge with an in-depth exploration of the evolving field of ESG and AI integration.

Author : Eunika Mercier-Laurent
Publisher : Springer Nature
ISBN 13 : 3031610695
Total Pages : 268 pages
Book Rating : 4.91/5 ( download)

DOWNLOAD NOW!

Download or read book Artificial Intelligence for Knowledge Management, Energy and Sustainability written by Eunika Mercier-Laurent and published by Springer Nature. This book was released on with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Marijn Janssen
Publisher : Springer Nature
ISBN 13 : 3031500407
Total Pages : 439 pages
Book Rating : 4.04/5 ( download)

DOWNLOAD NOW!

Download or read book New Sustainable Horizons in Artificial Intelligence and Digital Solutions written by Marijn Janssen and published by Springer Nature. This book was released on 2024-01-15 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2023, held in Curitiba, Brazil, during November 9–11, 2023. The 29 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 68 submissions. The contributions were organized in topical sections as follows: Artificial Intelligence and Algorithm; Digital Transformation and New Technologies; and Sustainable Technologies and Smart Cities.