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Springer Nature Proceedings excluding Computer Science

Andres Iglesias

Jungpil Shin

Nityesh Bhatt

Amit Joshi

Information Systems for Intelligent Systems

Proceedings of ISBM 2025, Volume 9

&lt;p&gt;Spatial Optimization for Emergency Centers in Industrial Zones.- Assessing Drivers of Lifestyle-Based Entrepreneurship in Natural Products Field.- Enhancing Cybersecurity Posture Through Comprehensive Threat Intelligence: Methods, Challenges, and Future Trends.- A Decade of AI in Personal Financial Management: A Bibliometric Analysis of Trends, Intellectual Structures, and Research Opportunities.- Integral Model for the Management and Mitigation of Credit Risk in the Colombian Solidarity Sector.- AI-Generated Music and Its Acceptance on Distribution Platforms: An Experiment from Production to Business Monetization.- CHARACTERIZATION AND ANALYSIS OF BADMINTON RACKET USING SINGLE WALLED AND MULTIWALLED CARBON NANOTUBES.- Harnessing Technology in Professional Education: An Inquiry into Pedagogical Practices and Governance Per-spectives in State Universities and Colleges in the Philip-pines.- Intelligent Access Control Schemes for the Internet of Everything: A Survey of Techniques, Challenges, and Future Directions.- Bridging the Gap: Perceptual Differences Between Physical and Virtual Tours in 360 Maynila.- An In-depth Analysis of the Impact of Feature Transformation Learning on Classification Matrix in Driver Identification.- Enhancing Weather Prediction For Agriculture.- Advancement and Challenges in Chatbot Technology: A Deep Dive into AI-Powered Conversations.- Enabling SME Participation in Cybersecurity Information Sharing: A Human-centric, Socio-technical Model.- System development for ethics in digital record archive: Insight from strategically critical review.- Linking System Effectiveness to Workforce Productivity: A Study on the Use of Electronic Accounting Systems.- The Impact of Digitalization on Total Quality Management and Supply Chain Performance: Evidence from the Manufacturing Sector in a Developing Country.- Disease Prediction in Sericulture and Automation.- The 'Grammarly Effect': A Mixed-Methods Study on the Impact of Instantaneous AI Feedback on Student Writing Anxiety and Revision Processes.- Optimizing Feature Selection for Medical Diagnosis Systems Using Differential Evolution.- Exploring Large Language Models to Assist Finite Element Analysis.- Genetic Algorithm-Driven Parameter Optimization for Practical Torus Fully Homomorphic Encryption.- Project-Based Learning: Comparing the Results of Group and Individual Projects in Undergraduate Program of Information Systems.- Adaptive Ambient Intelligence: Machine Learning Models for Context Prediction in Ubiquitous Systems.- Brand Vulnerability in Digital Age: Effects of Negative Publicity on Purchase Intention.- Website Defacement Detection using Machine Learning Technique.- Liberty to Equality: Hotel Management Application Level of Diversity Management in Selected Department of Tourism Accredited Hotels in Pangasinan.- Unveiling Barriers to Sustainable Fashion Consumption Among Gen Z.- Modelling the Barriers to Gen Z Adoption of Privacy-Preserving AI-Enabled Health Apps.- Integrating AI and Behavioral Analytics for Advanced Insider Threat Detection: A Cross-Disciplinary Approach Combining Cybersecurity and Cognitive Science.- Emotion Classification in News Headlines of Operation Sindoor Using Machine Learning: A Comparative Study of Logistic Regression and SVM.- Machine Learning-Based Clustering for Tuberculosis Patient Segmentation by Risk Factors and Symptom Profiles: A Case Study of Ngao District, Lampang.- StockVisionX: Leveraging Financial News Sentiment and Technical Indicators for Stock Movement Prediction.- A Secure and Efficient Implementation of TLS and QUIC for Secure Satellite Based Communication in UAVs.- Real-Time South African Sign Language interpretation using computer vision methods.- Robust Face Recognition System using Stable Diffusion and Synthetic Data.- Metaverse Entrepreneurship: Pathways of opportunities, challenges, and directions for future research.- Intelligent information system for proactive management of a printing enterprise.- Advancements in Machine Learning: Algorithms, Applications, and Emerging Research Directions.- An IoT-Enabled Real-Time Monitoring, Alerting, and Cloud Data Management System for Optimized Water Quality Control in Recirculating Aquaculture Systems (RAS).- Securing Systems Through Log Anomaly Detection: From Traditional Learning to LLMs.&lt;/p&gt;

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

A Comprehensive Introduction

Financial Technology

Shared Intelligence

Coming of Age

Intelligent Urban Infrastructure: Smart Solutions for Sustainable Cities explores how emerging digital technologies are reshaping the design, management, and sustainability of modern cities. This comprehensive volume examines the integration of Artificial Intelligence (AI), Internet of Things (IoT), data analytics, and intelligent automation into critical urban systems such as transportation, energy, water management, healthcare, and public safety. It presents a forward-looking perspective on how infrastructure can evolve to become more adaptive, resilient, and environmentally responsible. The book highlights practical frameworks and technology-driven content that demonstrate measurable improvements in efficiency, cost optimization, and environmental performance. Designed for researchers, postgraduate students, urban planners, engineers, policymakers, and industry professionals, this book serves as a valuable reference for those seeking to understand and implement intelligent infrastructure solutions that enable smarter, greener, and more liveable cities worldwide.

Smart Solutions for Sustainable Cities

Intelligent Urban Infrastructure

New Information Communication Technologies in the Digital Era

Real-World Solutions for Reshaping Healthcare Through Artificial Intelligence and Beyond

Strategies for Artificial Intelligence in Healthcare

Boost your AI quotient for AI-ready leadership.Most leaders know that AI can deliver efficiency gains, making it a company priority in a challenging business environment. But the pace of change is outstripping their ability to adapt. More than 75% of leaders report that AI is creating challenges they have never faced before and these new challenges, anxieties and uncertainty about the future are creating a 'readiness gap'.AI-Q, your AI Quotient, is both a new metric for assessing readiness and a framework for building it. Use the AI-Q MAP (Mindset, Abilities and Practices) to: <ul> <li> assess where you are today </li> <li> identify the critical gaps, and </li> <li> build the leadership and organizational capabilities you need to ensure your AI investments deliver returns. </li> </ul>Futurist and economist Athena Peppes draws on research from leading institutions and expert interviews to offer a new approach to AI-readiness, the new critical leadership capability in the human+AI era.

The new leadership imperative for the Human+AI era

AI-Q

A year of HBR's essential thinking on tech--all in one place.From gen AI to EVs to advanced digital collaboration tools, new tech innovations are reshaping organizations from the factory floor to the C-suite. What should you and your company be doing right now to take advantage of the opportunities these technologies are creating--and to avoid falling victim to disruption?The Year in Tech, 2027: The Insights You Need from Harvard Business Review will help you understand what the latest and most important applications of new tech mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

The Year in Tech, 2027: The Insights You Need from Harvard Business Review

The Key Driver of the Innovation Engine

Understanding the AI Economy

Offers an alternate trajectory for EU copyright law to adequately respond to new forms of creativity

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

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

Information Systems for Intelligent Systems

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