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.

Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

This timely book presents a detailed analysis of the role of law and regulation in the utilisation of Artificial Intelligence (AI) in the media sector. As well as contributing to the wider discussion on law and AI, the book also digs deeper by exploring pressing issues at the intersections of AI, media, and the law. Chapters critically re-examine various rights and responsibilities from the perspectives of incentives for accountable utilisation of AI in the industry.

Artificial Intelligence has revolutionized and transformed Social Media in many innovative ways. With around 3 billion people connected to various social media platforms, they are generating a huge mass of data. Now the question is, “Why should social media be concerned about all this data floating around?” The answer to this question is that this ‘meta – data’ is of great value to social media platforms. One reason is that social networks can keep themselves relevant with times only if they keep themselves abreast about the needs, wants and choices of the users from multiple geographical locations. Another reason is that they get to monetize this information when they share their platforms with advertisers and marketers. AI is one single solution for both these scenarios.

Unlock the Power of AI: Revolutionize Your Marketing Strategy with "Artificial Intelligence, Real Profits: Mastering ChatGPT-4 for Business Marketing." Are you tired of traditional marketing strategies that fail to deliver the results you need? Are you ready to embrace the power of Artificial Intelligence (AI) to take your business marketing to the next level? Look no further than "Artificial Intelligence, Real Profits: Mastering ChatGPT-4 for Business Marketing." This comprehensive guide is your gateway to unlocking the full potential of AI-driven marketing. From content creation to social media management, ChatGPT-4 has the power to revolutionize the way you do business. But what exactly is ChatGPT-4, and how can it benefit your business? ChatGPT-4 is a cutting-edge AI technology that uses natural language processing to generate human-like responses to text-based prompts. In other words, it can write like a human, but at a much faster pace and with greater accuracy. This makes it an invaluable tool for businesses looking to streamline their marketing efforts and drive real, tangible results. In "Artificial Intelligence, Real Profits," you'll learn how to leverage ChatGPT-4 to create compelling content that resonates with your target audience. Whether you're writing blog posts, email newsletters, or social media updates, ChatGPT-4 can help you craft messages that are engaging, persuasive, and free of errors. But that's just the beginning. This book also covers advanced topics like chatbot development, lead generation, and customer service automation. With ChatGPT-4 as your secret weapon, you'll be able to create personalized experiences for your customers that drive conversions and build brand loyalty. Of course, no AI technology is perfect, and ChatGPT-4 is no exception. That's why "Artificial Intelligence, Real Profits" also covers best practices for working with AI, including how to avoid bias and ensure ethical use of the technology. Whether you're a seasoned marketing professional or a budding entrepreneur, "Artificial Intelligence, Real Profits" is your ultimate guide to mastering AI-driven business marketing. With practical tips, real-world examples, and expert insights, this book will help you unlock the full potential of ChatGPT-4 and take your business to new heights.

This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organizational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors’ holistic approach is unique in the field. From a universalist perspective, the book examines and analyzes the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organization management, business ecosystems, data processing models in AI-based organizations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organizational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more.

The Rowman & Littlefield Handbook of Media Management and Business connects research and industry practice to offer a strategic guide for aspiring and current media professionals in convergent environments. As a comprehensive one-stop reference for understanding business issues that drive the production and distribution of content that informs, entertains, and persuades audiences, aims to inspire and inform forward-thinking media management leaders. The handbook examines media management and business through a convergent media approach, rather than focusing on medium-specific strategies. By reflecting media management issues in the information, entertainment, sports, gaming industries, contributed chapters explore the unique opportunities and challenges brought by media convergence, while highlighting the fundamental philosophy, concepts, and practices unchanged in such a dynamic environment. this handbook examines media management through a global perspective, and encourages readers to connect their own diverse development to a broader global context. It is an important addition to the growing literature in media management, with a focus on new media technologies, business management, and internationalization.

This book offers an in-depth academic discourse on the convergence of AI, digital platforms, and popular culture, in order to understand the ways in which the platform and cultural industries have reshaped and developed AI-driven algorithmic cultural production and consumption. At a time of fundamental change for the media and cultural industries, driven by the emergence of big data, algorithms, and AI, the book examines how media ecology and popular culture are evolving to serve the needs of both media and cultural industries and consumers. The analysis documents global governments’ rapid development of AI-relevant policies and identifies key policy issues; examines the ways in which cultural industries firms utilize AI and algorithms to advance the new forms of cultural production and distribution; investigates change in cultural consumption by analyzing the ways in which AI, algorithms, and digital platforms reshape people’s consumption habits; and examines whether governments and corporations have advanced reliable public and corporate policies and ethical codes to secure socio-economic equality. Offering a unique perspective on this timely and vital issue, this book will be of interest to scholars and students in media studies, communication studies, anthropology, globalization studies, sociology, cultural studies, Asian studies, and science and technology studies (STS).