Download Free Digital Product Management In The Era Of Data Economy Artificial Intelligence And Ecosystems Book in PDF and EPUB Free Download. You can read online Digital Product Management In The Era Of Data Economy Artificial Intelligence And Ecosystems and write the review.

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.
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.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Sharing information and knowledge, co-innovating with clients, communities, and competitors and adopting cognitive technology, robo advisors, crowdfunding, and blockchain reflect current socio-economic behaviour. Emerging growth regions in Asia, demographic shifts, intergenerational wealth transfers and increasing regulations are other trends that amplify each other, disrupt the client journey, and affect the entire economy. Moreover, unprecedentedly, new market entrants outside the financial sector, be it Amazon, Apple, Google, or Facebook, are increasingly expanding their scale and scope to offer financial services. Featuring case studies of Chinese business ecosystems, such as Alibaba/Ant Financial, that have transformed from displaying domestic and organic growth to rapid global expansion, this highly readable book gives you glimpses of how banking services are evolving. We break down everything you need to know about the foray of challenger banks into the financial services. You learn how they link health to wealth data and gain advantages through analytical capabilities in the race to attract sophisticated clients with highly personalized experiences. The next level of creating and capturing value for clients and businesses involves platform models embedded in cross-sector ecosystems. Digital platforms are the crucial entry point to global markets, creating value for multiple sides. They leverage self-driving ecosystems that go beyond linear value chains applied in traditional business models as the sources of growth in an interconnected world are collaboration and network effects. The winners will be those who open up and engage themselves in an ecosystem that transcends organizational boundaries and performs without sector borders because every actor contributes to the value constellation of the system. The book provides practitioners and scholars with new insights into open and holistic business models, where competition in future will be between ecosystems rather than at the company level. It encourages leaders to expand their skills and think through the lens of the ecosystem theory while developing compelling strategies to serve the next-generation clients.
This book presents the main theoretical foundations behind smart services as well as specific guidelines and practically proven methods on how to design them. Furthermore, it gives an overview of the possible implementation architectures and shows how the designed smart services can be realized with specific technologies. Finally, it provides four specific use cases that show how smart services have been realized in practice and what impact they have within the businesses. The first part of the book defines the basic concepts and aims to establish a shared understanding of terms, such as smart services, service systems, smart service systems or cyber-physical systems. On this basis, it provides an analysis of existing work and includes insights on how an organization incorporating smart services could enhance and adjust their management and business processes. The second part on the design of smart services elaborates on what constitutes a successful smart service and describes experiences in the area of interdisciplinary teams, strategic partnerships, the overall service systems and the common data basis. In the third part, technical reference architectures are presented in detail, encompassing topics on the design of digital twins in cyber physical systems, the communication between entities and sensors in the age of Industry 4.0 as well as data management and integration. The fourth part then highlights a number of analytical possibilities that can be realized and that can constitute or be part of smart services, including machine learning and artificial intelligence methods. Finally, the applicability of the introduced design and development method is demonstrated by considering specific real-world use cases. These include services in the industrial and mobility sector, which were developed in direct cooperation with industry partners. The main target audience of this book is industry-focused readers, especially practitioners from industry, who are involved in supporting and managing digital business. These include professionals working in business development, product management, strategy, and development, ranging from middle management to Chief Digital Officers. It conveys all the basics needed for developing smart services and successfully placing them on the market by explaining technical aspects as well as showcasing practical use cases.
Today, we see rapid change and transformation in many areas. One of the most important reasons for this situation is the unstoppable progress of technology. The 21st century has been the age of digitalization. Technology significantly affects the functioning of almost every sector, from education to art, from tourism to sports. In such an environment where digital tools are very decisive, the economy and business life are also affected by these developments. Many issues such as working conditions, employment potential, insurance system, economic development processes, and the structure of monetary and financial instruments are adapting to the digitalizing world. This editorial book includes studies, created by precious researchers, on how the economy and business world are affected and shaped in the digital age. We hope that this work, which includes the precious studies on the effects of digitalization on the economy and business life, will be useful for readers and researchers.
How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era. How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels—from improving operational efficiencies to creating new data-driven services and transforming traditional products into digital platforms. He explores the ways sensors and the Internet of Things provide new kinds of customer data; presents the concept of digital competitors—other firms that have access to similar data; discusses the new digital capabilities that firms need to develop; and addresses privacy and security issues associated with data sharing. Who needs this book? Any firm that wants to revitalize traditional business models, offer a richer customer experience, and expand its competitive arena into new digital ecosystems.