Smart Analytics Artificial Intelligence And Sustainable Performance Management In A Global Digitalised Economy
Smart Analytics Artificial Intelligence And Sustainable Performance Management In A Global Digitalised Economy Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Smart Analytics Artificial Intelligence And Sustainable Performance Management In A Global Digitalised Economy book. This book definitely worth reading, it is an incredibly well-written.
Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy by Pallavi Tyagi,Simon Grima,Kiran Sood,B. Balamurugan,Ercan Özen,Thalassinos Eleftherios Pdf
The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Balancing the physical and virtual spaces of the global digital economy has called for additional support from data-driven technologies like smart analytics and artificial intelligence.
Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy by Pallavi Tyagi,Simon Grima,Kiran Sood,Balamurugan Balusamy,Ercan Özen,Eleftherios Thalassinos Pdf
The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Though the benefits outweigh the risks, the challenges in digitalised economies are as sophisticated as the solutions they offer.
Sustainable Development Goals by Ridhima Sharma,Indira Bhardwaj,Simon Grima,Timcy Sachdeva,Kiran Sood,Ercan Özen Pdf
We need sustainable solutions that can protect our water, energy and food resources while also aiming for zero waste. Sustainable Development Goals introduces the subject of sustainable development, delving into detail of the framework to address gaps and shortages in different disciplines and sectors.
Contemporary Challenges in Social Science Management by Anne Marie Thake,Kiran Sood,Ercan Özen,Simon Grima Pdf
Enriched and strengthened with European case studies of real-life situations providing a practical and industry insights, Part A and B collate experts in Economics, Finance, Public Policy, Human Resources, and Risk management, contributing on employability, labour markets, sustainability, and skills of the future from across the globe.
Digital Transformation, Strategic Resilience, Cyber Security and Risk Management by Kiran Sood,Balamurugan Balusamy,Simon Grima Pdf
Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance.
This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.
Intelligent Analytics With Advanced Multi-Industry Applications by Sun, Zhaohao Pdf
Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.
Virtually International introduces readers to basic project management principles that will shorten learning curves and curtail the costs of managing international teams; this book lays out ways that virtual project managers can support productivity and enhance the well-being of geographically distributed team members.
Digital Economy, Business Analytics, and Big Data Analytics Applications by Saad G. Yaseen Pdf
This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications. The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management. This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.
Global cities are facing an almost unprecedented challenge of change. As they re-emerge from the Covid 19 pandemic and get ready to face climate change and other, potentially existential threats, they need to look for new ways to support wealth and wellbeing creation – leveraging Big Data and AI and suing them into their physical reality and to become greener, more inclusive and resilient, hence sustainable. This book describes how new digital technologies could be used to design digital and physical twins of cities that are able to feed into each other to optimize their working and ability to create new wealth and wellbeing. The book also describes how to increase cities’ social and economic resilience during crisis time and addressing their almost fatal weaknesses – as it became all too obvious during the recent COVID 19 crisis. Also, the book presents a framework for a critical discussion of the concept of “smart-city”, suggesting its development into a “cyber” and “meta” one – meaning, not only digital systems can allow physical ones (e.g. cities, citizens, households and companies) to become “smarter”, but also the vice versa is true, as off line data and real life behaviours can support the optimization and development of virtual brains as a sum of big data and artificial intelligence apps all sitting “over the cloud”. An analysis of the fundamental dynamics of this emerging “info-telligence” economy, and of the potential role of big digital players like Amazon, Google and Facebook is then paving the way to discuss a few strategic forays on how traditional sectors such as financial services, real estate, TMT or health could also evolve, leveraging Big Data and AI in a cyber-physical integrated setting. Finally, a number of thought provoking use cases that could be designed around individuals, and to improve the success and the resilience of households and companies living and working in urban areas are discussed, as an example of one of the most exciting future markets to come: the one of global, sustainable cities
Sustainability in a Digital World by Thomas Osburg,Christiane Lohrmann Pdf
This book offers a comprehensive introduction to the different emerging concepts in the innovative area of sustainability and digital technology. More than 20 leading thinkers from the fields of digitalization, strategic management, sustainability and organizational development share clearly structured insights on the latest developments, advances and remaining challenges concerning the role of sustainability in an increasingly digital world. The authors not only introduce a profound and unique analysis on the state-of-the art of sustainability and digital transformation, but also provide business leaders with practical advice on how to apply the latest management thinking to their daily business decisions. Further, a number of significant case studies exemplify the issues discussed and serve as valuable blueprints for decision makers.
Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization by Sailesh Suryanarayan Iyer,Arti Jain,John Wang Pdf
"This book provides extensive research of Lifestyle Management and Services that contribute towards indication, detection, conduction, protection and technological enhancement including Machine Learning, Deep Learning, Artificial Intelligence, Big Data Analytics and Visualization"--
Contemporary Issues in Behavioral Finance by Simon Grima,Ercan Özen,Hakan Boz,Jonathan Spiteri,Eleftherios Thalassinos Pdf
This special edition of Contemporary Studies in Economic and Financial Analysis offers seventeen chapters from invited participants in the International Applied Social Science Congress, held in Turkey between the 19th and 21st April 2018.
Contemporary Issues in Social Science by Simon Grima,Ercan Özen,Hakan Boz Pdf
This international exploration on different economic systems provides a comprehensive account which brings a wide range of countries to the forefront in terms of both comparability and accountability, this study shines a light on the differences in systems between states, and provides information to equip readers to minimize those differences.
Business Intelligence and Performance Management by Peter Rausch,Alaa F. Sheta,Aladdin Ayesh Pdf
During the 21st century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates. Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others. Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.
