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Digital Business Strategy
Digital Business Strategy responds to the need for clarification of the increasing, but fragmented, knowledge of digital business strategy. It systematically presents topical knowledge by reviewing previous research and developing frameworks for the content of digital business strategy and its relationships with relevant factors. In addition, the book analyses issues encountered by individual companies when implementing digital business strategies. The volume identifies key categories of digital business strategy, in particular, strategy scope and direction, competitive advantage, and resource and capability reliance. It then explores relationships with antecedents such as digital experience...
Cyber Security and Business Intelligence
To cope with the competitive worldwide marketplace, organizations rely on business intelligence to an increasing extent. Cyber security is an inevitable practice to protect the entire business sector and its customer. This book presents the significance and application of cyber security for safeguarding organizations, individuals’ personal information, and government. The book provides both practical and managerial implications of cyber security that also supports business intelligence and discusses the latest innovations in cyber security. It offers a roadmap to master degree students and PhD researchers for cyber security analysis in order to minimize the cyber security risk and protect ...
Machine Learning for Time Series Forecasting with Python
Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment ...
Management System for Strategic Innovation
Strategic innovation dynamically brings about strategic positioning through new products, services and business models, and is a dynamic view of strategy that enables a corporation to maintain its competitive advantage and establish sustainable growth. For these reasons, corporations have to be innovators that can reinforce their existing positions through incremental innovation, while at the same time constantly renewing or destroying existing business through radical innovation. This book presents a holistic theoretical model, The Strategic Innovation System, as a system of capabilities for companies to achieve strategic innovation. As a subsystem of the Strategic Innovation System, this b...
Nuclear Cardiology, An issue of Heart Failure Clinics
Nuclear Cardiology, An issue of Heart Failure Clinics
Internet of Things in the Food Industry
The food industry is experiencing a digital transformation across the entire supply chain, from farm to fork. This book offers comprehensive insights into the challenges and opportunities faced, specifically examining the application of the Internet of Things. The authors analyse the benefits and the related threats from the perspective of the participants of the entire supply chain, including consumers. Taking the reader on a journey, this book begins with an analysis of technology use in farming, production, logistics and retailing before delving into the use of digitalization in educating consumers on sustainable consumption practices. The multifaceted analysis of the Internet of Food potential combines science and practice, enriching theoretical analysis with case studies. This book will be of interest to those researching and studying supply chain management, logistics, innovation and technology management and consumption, with a particular interest in the food industry.
Grassroots Innovation
This book explores the process of grassroots innovation in the context of the Global South. It explains why these bottom-up solutions developed by common people are generated due to a lack of available or affordable technology to meet their needs and how they are included in the mainstream imagination of the economy by studying these innovations in India. It analyses the grassroots innovation process from idea generation to its implementation. Detailing both theoretical and practical dimensions of grassroots innovation, the book provides a holistic understanding of the phenomenon by tracing its history in the pre-independence discourse on development to the present-day policies for instituti...
Practical MLOps
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models. Current and aspiring machine learning engineers--or anyone familiar with data science and Python--will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud. The faster you deliver a machine learning system that works, the faster you can focus on the business problems you're trying to crack. This book gives you a head start. You'll discover how to: Apply DevOps best practices to machine learning Build production machine learning systems and maintain them Monitor, instrument, load-test, and operationalize machine learning systems Choose the correct MLOps tools for a given machine learning task Run machine learning models on a variety of platforms and devices, including mobile phones and specialized hardware
New Frontiers in Open Innovation
Following on from their previous book 'Open Innovation', the editors have compiled this book, as a major initiative of top scholars in open innovation setting out a research agenda for the next 5 to 10 years.
