Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Integrating AI for Sustainable Disaster
Management

Integrating AI for Sustainable Disaster Management

Building Resilience and Preventing Catastrophes

Preface xvii 1 Introduction to Sustainable Development and Disaster Management 1 Rajasekaran Thangaraj, Palanichamy Naveen, Maheswar R., Mohanasundaram K., Arivazhagan S. and Kolla Bhanu Prakash 1.1 Introduction 2 1.1.1 Overview of Sustainable Development 2 1.1.1.1 Core Concepts of Sustainable Development 2 1.1.1.2 Historical Context of Sustainable Development 3 1.1.1.3 Principles of Sustainable Development 3 1.1.1.4 Challenges and Opportunities in Achieving Sustainable Development 4 1.1.2 Importance of Disaster Management 5 1.1.2.1 Definition and Scope of Disaster Management 5 1.1.2.2 Phases of Disaster Management 6 1.1.2.3 Types of Disasters 6 1.1.2.4 Challenges in Disaster Management 6 1.1.2.5 Importance of Effective Disaster Management 7 1.1.2.6 Case Studies of Disaster Management 8 1.1.3 Intersection of AI, Sustainable Development, and Disaster Management 9 1.2 Sustainable Development 9 1.2.1 Definition and Principles 9 1.2.2 Historical Context and Evolution 9 1.2.3 Goals and Global Initiatives (SDGs) 10 1.3 Disaster Management 10 1.3.1 Definition and Types of Disasters 10 1.3.2 Phases of Disaster Management 10 1.3.3 Challenges in Traditional Disaster Management Approaches 11 1.4 Role of AI in Sustainable Development 12 1.4.1 AI Technologies and their Applications 12 1.4.2 Case Studies of AI in Sustainable Development 12 1.5 Role of AI in Disaster Management 15 1.5.1 AI Technologies in Disaster Prediction and Early Warning 15 1.5.2 AI in Disaster Response and Recovery 15 1.5.3 Case Studies of AI in Disaster Management 16 1.6 Integration of AI in Sustainable Disaster Management 17 1.6.1 Benefits of AI Integration 17 1.6.2 Framework for AI Integration 18 1.6.2.1 Identifying Key Areas for AI Application 18 1.6.2.2 Ensuring Data Accessibility and Quality 18 1.6.2.3 Fostering Collaboration Among Stakeholders 18 1.6.2.4 Addressing Ethical Considerations 19 1.6.2.5 Ensuring Transparency 19 1.6.3 Challenges and Ethical Considerations 19 1.7 Conclusion 21 References 22 2 Earthquake Risk Assessment Using Artificial Intelligence - A Review on Traditional Methods and Artificial Intelligence- Based Methods 25 Jeba Wincy Deborah. W., Karishma. R., D. Pamela, Joses Jenish Smart, Shajin Prince and Bini. D. Introduction to Earthquake Risk Assessment 26 Understanding Seismic Hazards 27 Data Source of Earthquake Risk Assessment 27 Scenario of Earthquake Incidents of the World 28 Scenario of Earthquake Incidents of India 29 Brief Overview of Earthquake Incidents in India 29 Traditional Methods Used in Earthquake Risk Assessment and Predictions: Historical Data Analysis 33 Seismic Hazard Mapping 34 Ground Motion Prediction 35 Fault Rupture Hazard Analysis 36 Site-Specific Studies 37 Building Vulnerability Assessment 37 Organizations for Earthquake Risk Assessment and Predictions 42 Earthquake Risk Assessment Using Artificial Intelligence 43 Prediction of Earthquake Using AI 44 Algorithms Used for Earthquake Risk Assessment and Predictions: Deep Learning Algorithms 45 Machine Learning Algorithms 45 Methods for Earthquake Risk Assessment and Prediction Using AI 46 Pattern Recognition in Seismic Data 46 Anomaly Detection 47 Earthquake Forecasting Model 47 Data Fusion and Integration 48 Damage and Impact Assessment 49 Real-Time Monitoring 50 Early Warning Systems 51 Risk Mitigation 52 Resilience Planning 52 Predictive Modeling for Earthquake Forecasting Using AI 54 Integration of AI Techniques in Seismic Hazard Analysis 55 Construction Practices and Urban Planning for Earthquake Assessment Using AI 56 Future Scope of Earthquake Risk Assessment and Prediction Using AI 57 Conclusion 58 References 59 3 AI Applications in Earthquake Resistance Using Change in Structural Design 61 E. Nirmala, M. Suresh and Sankar Muthu Paramasivam 3.1 Introduction 62 3.2 Review of Literature 63 3.3 Proposed Techniques 64 3.3.1 Different Techniques Used in Structural Design to Reduce Risk in Posterior Earthquakes 64 3.3.2 Earthquake Prediction Using ANN 67 3.3.3 AI-Neural Network-Based Earthquake Prediction 67 3.3.4 AI-Based Dynamic Interpretation Network (DIN)- Multilayer Propagation Algorithm for Earthquake Prediction 68 3.4 AI- and ML-Based Techniques 70 3.4.1 Earthquakes of Smaller Size Can Predict Large-Size Earthquakes Using Substance of AI Machine Learning Algorithms 70 3.4.2 AI-Assisted Simulation-Driven Earthquake-Resistant Design Framework: Taking a Strong Back System as an Example 71 3.4.3 Guidelines for Architectural Design Changes to Predict from Earthquake 73 3.4.4 Seismic Advancement of Prevailing Masonry Structures 73 3.5 Conclusion and Future Work 74 Bibliography 75 4 Automatic Detection of Tropical Cyclones from Satellite Images Using YOLO Models 79 Rajasekaran Thangaraj, Pandiyan P., Palanichamy Naveen, Balasubramaniam Vadivel, P. Prakash and S. Manoj Kumar 4.1 Introduction 80 4.2 Related Works 82 4.3 Dataset Description 83 4.3.1 Dataset Collection 83 4.3.2 Dataset Preprocessing 83 4.4 Methodology 84 4.4.1 Yolo 84 4.4.2 YOLOv 3 84 4.4.3 Tiny-YOLOv 4 85 4.4.4 YOLOv 5 87 4.5 Model Evaluation Indicators 88 4.6 Experimental Results 89 4.7 Discussion 93 4.8 Conclusion 94 References 95 5 Intelligent Transportation Systems in Cyclone-Prone Areas: A Study and Future Perspectives 99 Geetha S. K., Kiruthika J. K., Sathya S., Srisathya K. B., Rajasekaran Thangaraj and R. Devi Priya 5.1 Introduction 100 5.2 Importance of Intelligent Transportation Systems in Cyclone Resilience 101 5.3 Early Warning Systems 103 5.4 Applications of Unmanned Aerial Vehicles and Robots in Disaster Management 106 5.5 Emerging Technologies and Future Trends in ITSs for Cyclone-Prone Areas 108 5.6 Optimizing Mobility: Advanced Approaches to Traffic Management and Control 111 5.7 Conclusion 117 References 117 6 AI-Enhanced Risk Assessment and Mitigation for Mass Movements 121 G. Anusha, V. Sathish Kumar, U. Johnson Alengaram, S. Nagamani and N. Srimathi 6.1 Introduction 122 6.2 Understanding Mass Movements 123 6.3 Traditional Risk Assessment and Mitigation Methods 124 6.4 The Role of AI in Risk Assessment 125 6.5 AI-Enhanced Mitigation Strategies 127 6.6 Challenges and Ethical Considerations 129 6.7 Future Trends and Innovations in AI-Enhanced Mass Movement Management 130 6.8 Case Studies in AI-Enhanced Mass Movement Management 132 6.9 Conclusions 134 References 135 7 Distributed AI Systems for Disaster Response and Recovery 137 Ravikumar S., Eugene Berna I., Vijay K., J. Jeyalakshmi and Eashaan Manohar 7.1 Introduction 138 7.2 Technology Applied in Critical Cases 141 7.2.1 Disaster Management Architecture 143 7.2.2 Proposed Framework 144 7.2.3 Disaster Management Ontology 145 7.3 Approach to Disaster Relief That is Enabled by Information and Communication Technology 145 7.4 ml and Deep Learning Methods: An Overview 146 7.4.1 Convolutional Neural Network 147 7.4.2 Lstm 148 7.4.3 Support Vector Machine 148 7.4.4 ML/DL Methods for Disaster and Hazard Prediction 148 7.4.5 ML/DL Methods for Risk and Vulnerability Assessment 149 7.4.6 ML/DL Methods for Disaster Detection 150 7.4.7 ML/DL Methods for Disaster Monitoring 150 7.4.8 ML/DL Methods for Damage Assessment 150 7.5 Phases of Disaster Management 151 7.5.1 Prediction 151 7.5.2 Detection 152 7.5.3 Response 152 7.5.4 Recovery 152 7.5.5 Before Disaster 152 7.5.5.1 Risk Assessment 152 7.5.5.2 Mitigation 153 7.5.5.3 Prevention 153 7.5.5.4 Prediction 153 7.5.5.5 Detection 153 7.5.6 During Disaster 153 7.5.6.1 Preparation 154 7.5.6.2 Management 154 7.5.6.3 Response 154 7.5.7 After Disaster 154 7.5.7.1 Recovery 154 7.5.7.2 Monitoring 154 7.5.7.3 Lessons Learned 155 7.6 Disaster Management and Disaster Resilience 155 7.7 Applications of AI for Disaster Management 156 7.8 AI Applications in Disaster Mitigation 156 7.9 Conclusion 157 References 158 8 Intelligent Reasoning and Decision¿Making in Disaster Scenarios 163 Sreenivasa Chakravarthi Sangapu, Sreenija Reddy D., Likitha D. and Sountharrajan S. 8.1 Introduction 164 8.2 Types of Natural Disasters 165 8.3 Impact of Natural Disasters 167 8.4 Decision-Making in a Disaster Scenario 170 8.4.1 Disaster Prediction 171 8.4.2 Decision-Making in Analyzing the Impact of Disaster 171 8.4.3 Disaster Precautions and Measures 171 8.4.4 Benefits of Decision-Making in Disaster Scenario 172 8.4.5 Technology in Decision-Making Process of a Disaster 173 8.5 AI/Machine Learning in Decision-Making of Disaster Scenario 174 8.5.1 AI/ML in Predisaster Stage 175 8.5.2 AI/ML in During Disaster Stage 176 8.5.3 AI/ML in Postdisaster Stage 178 8.6 AI Methods for Disaster Prediction 179 8.6.1 Cyclone 179 8.6.2 Drought 180 8.6.3 Earthquake 184 8.6.4 Floods 189 8.6.5 Landslides 192 8.7 AI Methods to Analyze the Impact of Disasters 195 8.7.1 Cyclone 196 8.7.2 Drought 198 8.7.3 Earthquake 201 8.7.4 Floods 204 8.7.5 Landslide 205 8.8 AI/ML Methods in Providing Precautionary Measures 210 8.9 Intelligent Reasoning 214 8.10 Conclusion 219 References 220 9 AI Applications in Real-Time Intelligent Automation 229 M. Maragatharajan, L. Sathishkumar, G. Vishnuvarthanan and Jun li 9.1 Introduction 230 9.2 Related Works 233 9.3 Proposed Methods 235 9.3.1 Use of Drones in Disaster Management 236 9.3.1.1 Understanding Drone Technology 238 9.3.1.2 Components and Functionality 238 9.3.1.3 Types and Classifications 239 9.3.1.4 Applications 239 9.3.1.5 Challenges and Future Trends 239 9.3.1.6 Drone Applications in Earthquake Disaster Response 240 9.3.1.7 Rapid Damage Assessment 240 9.3.1.8 Search and Rescue Operations 240 9.3.1.9 Communication and Coordination 240 9.3.1.10 Environmental Monitoring and Mapping 241 9.3.2 Flood Disaster Management Using the Flood Detection Secure System 241 9.3.2.1 Terminologies in FDSS 243 9.3.2.2 The Process of FDSS 244 9.3.3 Flood Management Using AI and IoT 246 9.3.3.1 Architecture 247 9.4 Conclusion and Future Perspectives 248 References 248 10 Knowledge Management and Processing in Disaster Management 251 R. Jayaraghavi, L. S. Jayashree, Palanichamy Naveen and M. Saravanan 10.1 Introduction 252 10.1.1 Importance of Knowledge Management 252 10.1.2 Role of AI 253 10.2 Knowledge Management in Disaster Management 255 10.2.1 Data Collection 255 10.2.2 Information Processing 257 10.2.3 Knowledge Dissemination 259 10.2.4 Decision Support Systems 262 10.3 Integration of AI in Disaster Management 265 10.3.1 Machine Learning Applications 265 10.3.2 Natural Language Processing 265 10.3.3 Predictive Analytics 271 10.4 Challenges and Ethical Considerations 275 10.4.1 Data Privacy 275 10.4.2 Bias and Reliability 278 10.4.3 Resource Allocation 280 10.5 Future Prospects and Innovations 284 10.5.1 Technological Advances 284 10.5.2 Integration with Existing Systems 288 10.5.3 Global Collaboration 290 10.6 Conclusion 294 10.6.1 Summary of Key Points 294 10.6.2 Call to Action 296 10.6.3 Future Vision 298 References 298 11 Perception Technologies for Disaster Situations 301 Ganesh Nataraj, K. Mohanasundaram and S. Ramesh Babu 11.1 Introduction 302 11.2 Understanding Disaster Situations 303 11.3 Role of Perception Technologies 305 11.4 Categories of Perception Disaster Technologies 306 11.4.1 Remote Sensing and Imaging Technologies 306 11.4.2 Computer Vision and Image Analysis 307 11.4.3 Internet of Things (IoT) Sensors 307 11.4.4 Data Fusion and Integration 308 11.4.5 Human-Computer Interaction and Decision Support Systems 309 11.4.6 Ethical and Privacy Considerations 310 11.4.7 Future Directions and Challenges 311 11.5 Conclusion 311 References 312 12 Integration of AI and Software Engineering for Disaster Management: A Multimodal Disaster Identification Perspective 315 Mithrashree V., Sowmya V., Premjith B. and Jyothish Lal G. 12.1 Introduction 316 12.2 Related Works 318 12.3 Methodology 320 12.4 Experiments and Result Discussion 323 12.5 Conclusion 328 Bibliography 330 13 An Intelligent AI-Based Fault Detection Mechanism for Autonomous Vehicles with Blockchain Security 333 Indra Priyadharshini S., Thankaraja Raja Sree and Kanmani S. 13.1 Introduction 334 13.2 Evolution of Autonomous Vehicles 335 13.3 Role of AI in Autonomous Systems 336 13.3.1 Architecture Diagram 337 13.3.2 AI Algorithms for Fault Prediction and Recognition 340 13.3.2.1 Isolation Forest Algorithm 341 13.4 Challenges of Artificial Intelligence in Autonomous Systems 344 13.5 Blockchain Security Measures for Autonomous Vehicles 346 13.5.1 Secure Autonomous Vehicle Network Using Blockchain 348 13.6 List of Software/Tools, Design Techniques and Programming Languages for Autonomus Systems 349 13.6.1 Case Studies and Practical Implementations in an Autonomous System 351 13.6.2 Key Findings and Contributions 353 13.7 Conclusion 353 References 354 14 Industrial Experiences in Crop Cultivation Using AI for Disaster Management 357 Sagar Rohi, Ishaan Shrikant Kulkarni, Gagan Deep and Geetanjali Rathee 14.1 Introduction 358 14.1.1 AI in Agriculture 358 14.1.2 Contribution 359 14.2 Related Work 360 14.3 Proposed Framework 362 14.3.1 Construction of Knowledge Graph 363 14.4 Performance Analysis 364 14.4.1 Crop Query Dataset 364 14.4.2 Results Discussion 364 14.5 Conclusion 366 References 366 15 A Comprehensive Review on Robotics in Disaster Response and Recovery 369 J. Sarathkumar Sebastin, Sivaraman and V. K. Kuberaganapathi 15.1 Introduction 370 15.1.1 Role of Robotics in Disaster Response 370 15.1.2 Role of Robotics in Disaster Recovery 371 15.1.3 The Key Objectives of Reviewing Robotics in Disaster Response and Recovery 372 15.2 Disaster Response Robotics 372 15.2.1 Overview of Different Types of Disasters (Natural and Man-Made) 372 15.2.2 Robotics Technologies Used in Disaster Response 374 15.3 Robotics in Disaster Recovery 376 15.3.1 The Transition from the Response to the Recovery Phase in Disaster Management 376 15.3.2 The Role of Robotics in Postdisaster Recovery 377 15.3.3 Infrastructure Inspection and Assessment Using Drones and Ground Robots 379 15.3.4 Debris Clearance and Demolition with Robotic Assistance 380 15.3.5 Rehabilitation and Reconstruction Aided by Robotics in Construction 382 15.3.6 Psychological Support Through Robotic Companionship and Therapy 383 15.3.7 Review of Case Studies or Research Papers Demonstrating the Application and Impact of Robotics in Disaster Recovery Efforts 385 15.4 Future Directions 387 15.4.1 Exploration of Emerging Trends and Future Directions in Disaster Robotics Research 387 15.4.2 Recommendations for Future Research and Development Efforts to Maximize the Potential of Robotics in Disaster Response and Recovery 389 15.5 Conclusion 390 References 391 Index 393

Cut through the hype. Master the basics. Transform your work

How to AI

Mastery in the 21st-century digital economy demands a new approach. This book offers a groundbreaking guide for business leaders looking to navigate the complexities of this new era. Based on extensive research and proprietary tools like the Capability Profile and Leadership Scorecard, this book moves beyond outdated management techniques to provide a practical framework for success. It reveals how to identify your organization's dominant patterns - whether based on management style, growth stage, or industry - and then leverage that insight to overcome capability barriers that stifle growth and innovation.The book is not just a theoretical exploration; it is a hands-on resource filled with actionable business cases. Through 21 detailed examples from diverse industries like Financial Services, Healthcare, Technology, and Education, you will gain a deep understanding of what truly drives performance. The book's unique application of the "digital twin" concept to management provides a visual, data-driven representation of your organization, helping you to "see around corners" and make informed, low-risk decisions. By adopting this dynamic approach, you can master complexity, anticipate change, and unlock sustainable competitive advantage.,

Business cases for the digital economy

Patterns of Mastery

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

A Commentary

The EU Artificial Intelligence Act

Do you want to know how to come up with bold, innovative ideas? Are you keen to learn how culture can be leveraged to create change? Are you eager to learn from industry insiders? This innovative new textbook assembles leading names from the world of advertising to share their insights and experience from all aspects of the industry, helping you understand the various professional roles available and how they relate to your study. Professionals working at a range of recognisable brands (such as the BBC and Molson Coors) and leading advertising agencies - including ManningGottlieb and VCCP - come together to provide the inside story on everything from idea generation to planning global ad campaigns. At the end of each chapter, editors Mike Ryder and Mary Hargreaves, leading scholars from Lancaster University Management School, provide academic responses to the issues raised. Intuitively structured to take you on a journey from the beginnings of advertising as a medium to topical considerations such as influencer marketing, Advertising: A Practitioner Perspective covers both the creative and analytical aspects of the discipline. By discovering the concerns and outlooks of some of the industry's leading lights, you will gain a deeper understanding of both sides of the agency-client relationship, as well as the critical and theoretical perspectives of the theorists who helped shape them. Perfect for undergraduate and postgraduate students aiming to work in advertising, this unique book offers a grounded, accessible and experience-led look at the industry. Advertising: A Practitioner Perspective helps you connect theoretical knowledge with practical insight, enabling you to embark on a well-researched career path fully prepared to hit the ground running in the dynamic world of advertising.

A Practitioner Perspective

Advertising

We are delighted to present the proceedings of the 6th International Conference on Advances in Additive Manufacturing Technologies (ICAAMT 2024). This premier forum brings together researchers, practitioners, and industry professionals to share the latest developments, innovations, and insights in the field of additive manufacturing. As the adoption of these transformative technologies continues to accelerate across various industries, the relevance and impact of such a gathering grow ever more significant. The conference was held from December 19-20, 2024, in Chennai, India, and was organized by the Department of Mechanical Engineering, Chennai Institute of Technology. ICAAMT 2024 provided a dynamic platform for the exchange of ideas and knowledge, fostering collaboration and driving forward the frontiers of additive manufacturing.

ADVANCES IN ADDITIVE MANUFACTURING TECHNOLOGIES

The Long Wait for the (Gen)AI Innovation Renaissance in Banking and What it Will Take to Finally Make it Happen

Are We There Yet?

Routledge Advances in Management and Business Studies

This book covers the relationship between artificial intelligence and sustainability goals, bringing together cutting-edge research and insights from business researchers and practitioners.Through real-world case studies from a variety of industries and regions around the world, the book examines how AI can optimise processes, reduce carbon footprints, and support climate action. It also delves into the ethical considerations of deploying AI in an environmentally conscious manner, ensuring that AI's benefits are realised without compromising the planet's well-being.A valuable resource for academics in the fields of AI, sustainability, and business practices. The book will also interest university administrators, industry professionals, and policymakers seeking to drive positive, sustainable change in their respective fields.

Strategies for Modern Businesses

AI-Powered Sustainability

'Sir Ken Robinson shared with us that children are not problems to be fixed, but wonders to be cultivated. He was a beloved friend and a fearless advocate for human potential envisioning a world where children can grow and thrive.&nbsp; This book continues to be an inspiration.' Goldie Hawn 'Words that I know to be true, still ringing in my ears for the last 20 years. And now as a mother, more than ever. I hope for the sanity of the planet one day his dream will become the norm.' Imogen Heap "If you're not prepared to be wrong, you'll never come up with anything original." -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sir Ken Robinson Widely recognised as one of the most inspirational books on the importance of creativity and its necessity, not just in education and business, but in society, Out of Our Minds is a masterclass in human potential. Sir Ken Robinson, who sadly passed away in 2020, was an internationally recognised leader in the development of creativity, innovation and human resources and a New York Times bestselling author. His Ted talk 'Do Schools Kill Creativity?' is the most viewed Ted talk of all time with over 80 million views. Out of Our Minds challenges misconceptions that only special people are creative or that creativity applies only to the arts. The book shows how the rigid academic hierarchy - with mathematics at the top, arts at the bottom - wastes enormous talent. Drawing on examples from Fortune 500 companies and schools worldwide, it demonstrates how standardized testing prevents creative development. Now with the help of Sir Ken's daughter, Kate, Out of Our Minds has been updated in this special 25th Anniversary edition which also explores: <ul> <li>How artificial intelligence and rapid technological change make creativity essential for personal security and economic prosperity, not a luxury</li> <li>Why neurodiversity awareness demands education systems that accommodate different ways of thinking rather than requiring conformity through medication</li> <li>Practical strategies for leading cultures of innovation in organizations, moving beyond performative training days to systemic transformation</li> <li>The case for transforming - not merely reforming - education to help individuals discover their unique talents and lead meaningful lives</li> </ul> Essential reading for educators, business leaders, managers, parents, and policy makers, Out of Our Minds provides the framework needed to create systems that develop rather than suppress human creative potential. In an era of accelerating change, this book offers a radically different approach to human intelligence.

Out of Our Minds: Learning to Be Creative, 25th Anniversary Edition

Das erste Lexikon im Fintech-Bereich stellt mit über 800 Stichworten einschlägiges Know-how zur „Financial Technology“ bereit und hilft damit bei der Klärung aktueller Begrifflichkeiten. Dem interdisziplinären Charakter der Fintech-Entwicklung zufolge sind die Begriffe an der Schnittstelle von (Wirtschafts-)Informatik, Finanzwissenschaft und Innovationsmanagement verortet. Die Fintech-Terminologie richtet sich dabei mit ihren konzise beschriebenen und mit anschaulichen Grafiken ergänzten Inhalten gleichermaßen an Studierende sowie Interessierte aus Wissenschaft und Praxis.
 
 Die AutorenProf. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.
 
 Würdigungen„Aus meiner Sicht als Führungskraft einer global agierenden Bank ist das Fintech-Lexikon ein sehr gelungenes Nachschlagewerk, das alle relevanten Begrifflichkeiten in einer sehr verständlichen Art strukturiert darstellt und erläutert- eine gute Stütze, um in der Praxis die relevanten Begrifflichkeiten der Fintech-Szene im Überblick zu haben." Achim Lebeau, COO, DB Privat- und Firmenkunden AG„Selbst gründen bedeutet in vielen Bereichen ins kalte Wasser geworfen zu werden. Man muss in kürzester Zeit zum Allround-Experten werden: im Sales, im Marketing, im Finance oder im Fundraising. Hier eine strukturierte Übersicht aller Begrifflichkeiten der Startup-Welt an der Hand zu haben, ist eine enorme Hilfe.“ Jenny Saft, Geschäftsführung und Co-Founderin, Oviavo GmbH„Dieses Fintech-Lexikon bietet einen hervorragenden Orientierungsrahmen, indem es alle relevanten Begrifflichkeiten im Kontext der digitalisierten Finanzwelt aufgreift. Diese sind konsequent strukturiert und inverständlichen Worten definiert. Ein wertvoller Beitrag für die Praxis.“ Thomas Zerndt, CEO, Business Engineering Institute St. Gallen AG

Dieses Buch hilft dem Leser im Umfeld der Digitalisierung bei der Begriffsklärung und stellt einschlägiges Know-how zur Verfügung.&nbsp;Was bedeutet 42? Was ist eine Subchain? Was ist der Unterschied zwischen Robotics und Artificial Intelligence? Der Schwerpunkt liegt dabei auf den Entwicklungen, die seit 2010 mit der Digitalisierung unter dem Namen "Financial Technology" eine zunehmende Verbreitung erlebt haben. Die Begrifflichkeiten umfassen grundlegende Begriffe, die Eingang in die allgemeine Sprache gefunden haben, wie etwa Artificial Intelligence oder Blockchain, aber auch fachspezifische Termini, die für das Verständnis der einzelnen Technologien notwendig sind (zum Beispiel 42, Nonce). Die Fintech-Terminologie bietet dem Leser einen konzisen und gleichzeitig anschaulich dargestellten alphabetisch geordneten Überblick mit den darin enthaltenen praxisorientierten Antworten.

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.Key features include: - Explores AI, big data, IoT, and blockchain in healthcare in-depth. - Provides actionable strategies for energy management, waste disposal, and green supply chains - Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging. - Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains. - Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.

The Role of AI and IoT in Modern Medical Systems

Transforming Global Healthcare

Proven blueprint to master the art of sponsorships and start signing million-dollar deals The Sponsorship Bible: The Proven Framework for Winning Marketing Partnerships Across Any Industry shatters the mystery surrounding lucrative partnerships with a revolutionary methodology that transforms sponsorship from haphazard logo-slapping into a precision-engineered revenue machine. Drawing on strategies implemented by thousands of real-world clients, this book reveals the exact framework that propels organizations from sending ignored proposals to closing substantial six- and seven-figure deals. Written by Chris Baylis, the undisputed authority in the sponsorship industry, this book is packed with word-for-word scripts, plug-and-play templates, and battlefield-tested frameworks that eliminate guesswork and replace it with a methodical system for partnership success. Readers will gain insights on: <ul> <li>The astonishing raw numbers behind sponsorships, the ultimate untapped goldmine in modern marketing-a $200+ billion industry exploding at 9% annually, where budgets outperform traditional advertising three-to-one</li> <li>The entire process of securing sponsorships, from initial audience identification to proposal creation, prospect outreach, discovery calls, negotiation strategies, and renewal tactics</li> <li>The psychology, language, and tactics that consistently drive seven-figure deals in today's most competitive markets</li> </ul> The Sponsorship Bible is required reading for professionals across every conceivable sector-festival organizers, museum directors, esports producers, nonprofit executives, podcast creators, university development officers, and beyond-seeking to unlock transformative revenue using proven techniques.

The Proven Framework for Winning Marketing Partnerships Across Any Industry

The Sponsorship Bible

Integrating AI for Sustainable Disaster Management

Weitere Titel zum Thema