The perpetual interplay between the advancement in information and communication technologies (ICTs) and the development of real-world issues has been continuously accelerating the progress of the digital economy. As such, data has become an increasingly valuable driver transitioning societies to Post-Fordist Data-Driven Economies characterized by rapid innovation and the high value placed on education.
Aim & Scope
Today, big data is an economic resource not unlike oil; and those who are able to collect, retain, transform, and use data; are in power. Therefore, intelligence gathered by the process of analyzing and learning from data improves our knowledge through Artificial Intelligence (AI) and Computational Intelligence (CI). CI Systems form a set of human information processing methodologies that are developed to address complex real-world big data-driven problems that can no longer be solved and optimized using traditional techniques. It a major role in developing successful intelligent systems, including games and cognitive developmental systems. Recently, there more attention has been given to issues such as convolutional neural networks as it has become the fundamental basis of AI, where nearly most successful AI systems are based on CI.
Due to the holistic nature of the topics, this workshop is of interest to economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students. What differentiates this workshop from others, is that it brings together two important areas, intelligence systems, and big data in the digital economy, with special attention given to the opportunities, challenges, and threats for education, business growth and economic progression of nations. It hereby focuses on how societies can take advantage of and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and intelligence. Therefore, welcomed participating in this workshop are only those who are getting their chapters published in the Springer book series ‘Studies in Computational Intelligence.’ Unlike other books, the chapters as listed below offer an in-depth insight into approaches that will support economic development strategies and add to the efforts made by the UN towards achieving their goal.
Topics include, but not limited to
Convolutional neural networks
AI & CI in the era of the digital economy
AI & Blockchain
Technological implications on businesses
Digital learning & intelligent pedological systems