Prof. Mike P. Papazoglou


Executive Director of the European Research Institute in Services Science (ERISS), Univ. of Tilburg, Tilburg, The Netherlands


From Smart Data to Smart Industrial-Purpose Applications: Solving Problems & Creating Opportunities

Abstract

Smart data systems and applications support the processing and integration of data into a unified view from disparate big data sources, sensors and devices in the Internet of Things, social platforms, and databases, whether on-premises or cloud, and software-as-a- service applications to enable more effective decision making. The decisive criterion here is not necessarily the amount of data available, but smart content techniques that promote not only the collection and accumulation of related data, but also its context, and understanding. This requires discovering associations between the data, prioritizing results, finding useful insights, discovering patterns and trends within the data to reveal a wider picture that is more relevant to the problem in hand and react to them. The mechanisms that convert stale data to smart data focus on knowledge-based meta-data representation techniques that structure and associate the data sets and content, annotate them, link them with associated processes and software services, and deliver or syndicate information to recipients. Smart Industrial-Purpose Applications are a new generation of software applications that combine the benefits of smart data and advanced analytics to help organizations manage their resources (including humans), data, sensors, processes and systems more efficiently. They promise to bring greater speed and efficiency to industries as diverse as smart agriculture, smart cities, smart manufacturing, and smart healthcare delivery where they can provide meaningful insights to decision makers and help them solve complex problems. This talk will focus on the role, characteristics, potential of smart data and applications for diverse domains, and their enabling technologies. To illustrate the potential of smart data and applications, the talk will draw on examples that highlight the interplay of medical and technical aspects of smart healthcare applications. Smart healthcare involves deploying computing, information, service, sensor and visualization technologies to aid in preventing disease, improving the quality of care and lowering overall cost. The talk will also examine the design and deployment requirements, particularly for point -of-care medical applications, which emerge from the interplay of the actual clinical situation and the novelty of the smart healthcare application.

Short Bio

Michael P. Papazoglou is a highly acclaimed academic with noteworthy experience in areas of education, research and leadership pertaining to computer science, information systems, industrial engineering and digital manufacturing. He is the executive director of European Research Institute in Service Science and holds the Chair of Computer science at Tilburg University, the Netherlands. He is noted as one of the original promulgators of ‘Service-Oriented Computing’ and was the scientific director of the acclaimed European Network of Excellence in Software Systems and Services (S-CUBE). He is renowned for establishing local ‘pockets of research excellence’ in service science and engineering in several European countries, China, Australia and the UAE. Papazoglou is an author of the most highly cited papers in the area of service engineering and Web services worldwide with a record of publishing 32 (authored and edited) books, and over 200 prestigious peer-refereed papers along with approx. 18,000 citations (H-index factor 53). He holds distinguished/honorary professorships at 11 universities around the globe. He has delivered over 45 keynote addresses since 2000 and chaired 12 prestigious international peer refereed conferences. Papazoglou is the founder and editor-in-charge of the MIT Press book series on Information Systems as well as the founder and editor-in-charge of the new Springer-Verlag book series on Service Science.

Early Bird registrations

Until September 30th, 2018