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Financial Technology
Author: Niels Pedersen
language: en
Publisher: Kogan Page Publishers
Release Date: 2020-12-03
Fintech continues to revolutionize financial services. Financial Technology shows you how to navigate this increasingly de-centralized, personalized and automated environment. This new textbook strikes a balance between academic depth and commercial relevance in examining the advantages and challenges of these changes through the lens of various analytical frameworks. Financial Technology demystifies key technologies, such as blockchains, APIs, AI, machine learning, and cloud computing, in a clear and accessible style suitable for readers with no technological background. Real-world case studies from a variety of international organizations including Lloyds Bank, TransferWise, Generali, Starling and Stocktwits, bridge the gap between theory and practice and contextualize learning in terms of real businesses, from large incumbents to smaller start-ups. With coverage of robo-advisors, mobile-only banks, open banking and risk and regulation, this book also explores a range of analytical frameworks to critically examine new technologies and emerging business models. Financial Technology enables readers to understand the fintech movement in the context of recent financial history, examine the key drivers of change and form insights about the financial system in a forward-looking and global manner. Online resources include PowerPoint slides for lecturers and additional case studies.
Artificial Intelligence for HR
Artificial intelligence is changing the world of work. How can HR professionals understand the variety of opportunities AI has created for the HR function and how best to implement these in their organization? This book provides the answers. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, artificial intelligence can add value throughout the work of HR professionals. Artificial Intelligence for HR demonstrates how to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Alongside coverage of employee engagement and recruitment, this second edition features new material on applications of AI for virtual work, reskilling and data integrity. Packed with practical advice, research and new and updated case studies from global organizations including Uber, IBM and Unilever, the second edition of Artificial Intelligence for HR will equip HR professionals with the knowledge they need to improve people operational efficiencies, and allow AI solutions to become enhancements for driving business success.
Media Management and Artificial Intelligence
This cutting-edge textbook examines contemporary media business models in the context of Artificial Intelligence (AI) and digital transformation. AI has dramatically impacted media production and distribution, from recommendation engines to synthetic humans, from video-to-text tools to natural language models. "AI is really the change agent of the media industry," answered a natural language generation model when AI was ‘asked’ about the subject of this book. "It will open incredible opportunities." This book seeks to explore them. The media is examined through four sections. ‘Principles’ maps business models and the key tools of AI. ‘Platforms’ covers distribution channels in Games, Streamers, Social Networks, Broadcast and Digital Publishing. ‘Producers’ covers the engines of content-making, including Scripted, Entertainment, Factual, Content Marketing, Creators and Music. Finally, ‘Pioneers’ covers emerging sectors of Podcasting, Esports, the Metaverse and other AI-driven developments. Then in each chapter, a standard value creation model is applied, mapping a single sector through development, production, distribution and monetisation. Diverse case studies are analysed from India, Nigeria, South Korea, South Africa, France, the Netherlands, the US, the UK, Denmark and China – around creative entrepreneurship, revenue models, profit drivers, rights and emerging AI tools. Questions are provided for each case, whilst chapter summaries cement learning. Applied and technology-focused, this text offers core reading for advanced undergraduate and postgraduates studying Media Management – or the relationship between Entertainment, Media and Technology. Online resources include chapter-by-chapter PowerPoint slides and an Instructor’s Manual with further exercises and case studies.