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Digitalization and the Transformation of
the Healthcare Sector

Digitalization and the Transformation of the Healthcare Sector

This textbook offers a comprehensive and interdisciplinary exploration of the digital transformation reshaping the financial sector. Bridging academic insight and industry practice, the book examines how financial technologies are redefining banking, payment systems, investment management, and insurance, while discussing innovations such as blockchain, artificial intelligence, and open banking.Structured to support graduate-level teaching and professional development, the book integrates theoretical foundations with real-world case studies from banks, neobanks, and fintech startups. It addresses organizational change, regulatory challenges in AI and cybersecurity, and emerging financing models for fintech ventures, including venture capital and crowdfunding. The book also explores digital marketing, brand management, and financial communication in the context of fintech hype and reputational strategy.With contributions from leading scholars and practitioners, this textbook equips students, instructors, and professionals with the tools to understand and navigate the evolving fintech ecosystem. It is particularly suited for courses in finance, innovation, and digital transformation, and serves as a core text for postgraduate programs in banking and financial technology.Cristina De Silva
 is a postdoctoral researcher in Corporate Finance at LIUC University, Italy and co-coordinator of the Master’s in Fintech and Digital Payments. Her research explores fintech, venture capital, and entrepreneurial finance. She teaches financial innovation, venture capital, and corporate finance and has published in international journals such as Research in International Business and Finance.
 Chiara Conte
 is a contract lecturer and co-coordinator of the Master’s in Fintech and Digital Payments at LIUC University, Italy. Her teaching and research focus on fintech innovation and venture capital, informed by experience at TIM Ventures and AIFI.
 Anna Gervasoni
 is Rector and Full Professor of Business Economics at LIUC University, Italy. A leading expert in alternative finance, she is Director General of AIFI and author of more than 50 publications. Her research focuses on private capital and entrepreneurial finance.
 Aurelio Ravarini
 is Full Professor of Organization and Information Systems at LIUC University, Italy and Director of the Digital Transition Hub. His research spans digital transformation and information systems with more than 200 publications and international appointments at institutions including Cornell University.
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This textbook offers a comprehensive and interdisciplinary exploration of the digital transformation reshaping the financial sector. Bridging academic insight and industry practice, the book examines how financial technologies are redefining banking, payment systems, investment management, and insurance, while discussing innovations such as blockchain, artificial intelligence, and open banking.Structured to support graduate-level teaching and professional development, the book integrates theoretical foundations with real-world case studies from banks, neobanks, and fintech startups. It addresses organizational change, regulatory challenges in AI and cybersecurity, and emerging financing models for fintech ventures, including venture capital and crowdfunding. The book also explores digital marketing, brand management, and financial communication in the context of fintech hype and reputational strategy.With contributions from leading scholars and practitioners, this textbook equips students, instructors, and professionals with the tools to understand and navigate the evolving fintech ecosystem. It is particularly suited for courses in finance, innovation, and digital transformation, and serves as a core text for postgraduate programs in banking and financial technology.

The Transformation of Banking, Payments, and Financial Services

Advanced Fintech and Financial Innovation

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

The companies that win with AI won't be the ones that adopt it. They'll be the ones that rebuild around it.
Your old growth playbook is breaking down. AI is collapsing moats, compressing product cycles, and reshaping how customers buy. Meanwhile, your teams are still executing strategies built for a slower, more stable world. Market-Led Growth shows you how to rebuild-fast.
This is not a book of tactics. It's a blueprint for transforming how your company senses shifts in demand, adapts GTM in real time, and scales with the market-not against it. You'll learn how to decentralize decision-making, embed AI into execution, and move capital, people, and priorities at the speed of market signal. If you're serious about building a company that thrives in the AI era-not just survives it-this is your operating manual.

A new operating system for business in the age of AI

Market-Led Growth

India Studies in Business and Economics

This book presents a comprehensive study that conducts a data-driven performance benchmarking exercise for regional school education systems in India, with a clear focus on highlighting disparities and challenges within these systems, as well as providing targeted policy recommendations for potential improvements. The book conducts an in-depth examination of the educational environment, current status, policies, and interventions across schools. It explores why, despite various national initiatives aimed at improving access to and quality of school education, significant gaps persist across Indian states, particularly in the two most populous states, Uttar Pradesh and Bihar, which face a range of economic challenges.The book evaluates rankings and efficiency variations in school education development and develops a novel nonparametric efficiency-effectiveness framework to analyze the performance of the school education system. In addition to employing a state-of-the-art meta-BoD-RDM framework for constructing a school education development index, the empirical analysis employs a two-stage network Data Envelopment Analysis (NDEA) model using survey-based data from schools in India to compute school-wise efficiency and effectiveness scores. These scores are then integrated with a machine learning-based Random Forest algorithm to identify the key factors behind the observed inter-school variations in school efficiency and school effectiveness. The book also discusses progress in school education development during the COVID-19 pandemic. It identifies several key areas that require policy intervention and urgent attention from educationists and governments. This data-enabled benchmarking and analytical study not only contributes to understanding the current landscape but also supports the formulation of future educational policies aimed at effectively addressing the evolving needs of the school education system in India.

Data-Driven Benchmarking of School Education Systems in India

Build strategic and technological insight at the intersection of finance and innovation. Principles of Fintech by Alex Zarifis is a practical textbook designed for undergraduate and postgraduate students in business and financial management. Closely aligned with modules in Fintech, digital finance and financial innovation, it equips learners with the knowledge and applied frameworks needed to understand, evaluate and implement financial technologies across contemporary systems. This textbook explores the core technologies and business models shaping the Fintech landscape, from generative AI and blockchain to digital payments, InsurTech and WealthTech. Students are guided through how fintech solutions are developed, implemented and scaled, while critically assessing issues of ethics, governance, regulation and risk management. This textbook includes: - Clear learning objectives and summaries to frame each chapter and consolidate understanding - Applied frameworks linking theory to financial practice - Reflective questions and activities to encourage deeper analysis - Real-world examples to strengthen critical evaluation With its balanced integration of theory, application and critical reflection, Principles of Fintech prepares students to contribute to the evolving world of digital finance and financial innovation.

Financial Technology, Business Models and Strategic Innovation

Principles of Fintech

Wiley Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. <ul> <li>Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques</li> <li>Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning</li> <li>Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website</li> <li>Introduces the most important software frameworks for applying deep learning within finance</li></ul> This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

Deep Learning in Quantitative Finance

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

Something's changed.Your product's getting copied faster. Buyers are harder to reach. Campaigns cost more and deliver less. The growth engines that used to reliably deliver pipeline and sales are all starting to stall.This isn't a dip. It's a reset. AI is moving faster than most companies can adapt. Market-Led Growth shows you how to rebuild for this new reality, where demand shifts overnight, and the old go-to-market models can't keep up.This isn't a book of hacks. It's a blueprint for running a business that learns faster than the market changes. You'll learn how to spot signals early, test what works, and scale before the window closes. If you're still running the last decade's playbook with diminishing returns, this book will show you what to do instead.

Auch Ärzte dürfen werben – diese Aussage ist mittlerweile bei den Ärzten und Zahnärzten sowie bei den Kammern und Gerichten weitgehend angekommen. 
Allerdings bestehen bei der Ausgestaltung von Werbemaßnahmen noch immer Unsicherheiten über die rechtlichen Möglichkeiten und Grenzen. Diese werden auch in 3. Auflage übersichtlich und praxisnah dargestellt, maßgeblich unter Berücksichtigung der aktuellen Rechtsprechung zum ärztlichen Werberecht. Einen neuen Schwerpunkt bilden die Werbeverbote des Heilmittelwerbegesetzes, die inzwischen auch für Ärzte maßgeblich in den Blick der Gerichte geraten sind. 
Damit ist auch die dritte Auflage des Standardwerks von Bahner ein unentbehrlicher Berater und Begleiter rund um das ärztliche Werberecht.

Auch Ärzte dürfen werben – diese Aussage ist mittlerweile bei Ärzten und Zahnärzten sowie den Kammern und Gerichten weitgehend angekommen. Allerdings bestehen bei der Ausgestaltung von Werbemaßnahmen noch immer Unsicherheiten über die rechtlichen Möglichkeiten und Grenzen. Diese stellt die Autorin auch in der 3. Auflage übersichtlich und praxisnah dar, wobei sie maßgeblich die aktuelle Rechtsprechung zum ärztlichen Werberecht berücksichtigt. Einen neuen Schwerpunkt bilden die Werbeverbote des Heilmittelwerbegesetzes, die inzwischen auch für Ärzte maßgeblich in den Blick der Gerichte geraten sind. Damit ist auch die 3. Auflage des Standardwerkes von Bahner ein unentbehrlicher Berater und Begleiter rund um das ärztliche Werberecht.

Auch Ärzte dürfen werben

Das neue Werberecht für Ärzte

Easy and effective strategies for using AI chatbots Turn your business into a 24/7 customer service powerhouse with AI chatbots that work around the clock! Perfect for anyone drowning in customer emails or missing sales opportunities while they sleep, AI Chatbots For Dummies explains how to build intelligent chatbots from scratch - no coding required. You'll discover how major companies use chatbots to boost efficiency and customer satisfaction and learn to create your own automated assistants for customer service, lead generation, and marketing campaigns that practically run themselves. Inside ... <ul><li>Build no-code solutions</li><li>Create 24/7 customer support</li><li>Accelerate lead generation</li><li>Convert leads into customers</li><li>Reduce overhead and workload</li><li>Improve customer satisfaction</li><li>Scale your company</li><li>Integrate the newest tools</li></ul>

AI ChatBots For Dummies

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

Business Statistics of the United States

Business Statistics of the United States is a comprehensive and practical collection of data from as early as 1913 that reflects the nation's economic performance. It provides several years of annual, quarterly, and monthly data in industrial and demographic detail, including key indicators such as: gross domestic product, personal income, spending, saving, employment, unemployment, the capital stock, and more. Business Statistics of the United States is the best place to find historical perspectives on the U.S. economy. Of equal importance to the data are the introductory highlights, extensive notes, and figures for each chapter that help users to understand the data, use them appropriately, and, if desired, seek additional information from the source agencies. Business Statistics of the United States provides a rich and deep picture of the American economy and contains approximately 3,500 time series. The data are predominantly from federal government sources, including: ·Board of Governors of the Federal Reserve System ·Bureau of Economic Analysis ·Bureau of Labor Statistics ·Census Bureau ·Employment and Training Administration ·Energy Information Administration ·Federal Housing Finance Agency ·Department of the Treasury

Patterns of Economic Change, 30th Edition

Business Statistics of the United States 2026

Digitalization and the Transformation of the Healthcare Sector

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