The Next Frontier:
The Internet of Everything 

Michael P. Papazoglou

Non-standard machine learning
problems in small and big data

Jose A. Lozano

Shared data infrastructures:
From Smart Cities to Education

Mathieu d'Aquin

IoT opportunities…
catch them all !

Jérôme Vercaemer

The Next Frontier: The Internet of Everything

 by Michael P. Papazoglou

European Research Institute in Service Science (ERISS)
University of Tilburg
The Netherlands

Abstract

Future IT applications promise to be transformative creating formidable opportunities for systems integration through analytical capabilities, masses of real-time networked data, business processes, all sorts of equipment and devices, and computation. New generation service systems promise increased efficiency and appropriate interaction between the business world, computer networks, service and control systems, the physical world (e.g., machines, devices, structures), and humans enabling “smart” systems and applications that offer increased effectiveness, productivity, and speed, as well as novel functions. Achieving these capabilities presents a number of complex science and engineering challenges that rely on use of the emerging paradigm of the Internet of Everything (IoE).

New generation IoE systems form the foundation for smart applications which combine technology, knowledge, masses of data, processes, information, and human ingenuity to develop and apply “intelligence” to every aspect of a smart application. New generation IoE-based service systems will support such diverse industries as aerospace, automotive, energy, healthcare, manufacturing, infrastructure, consumer electronics, and communications - to name but a few. Everyday life will become increasingly dependent on these systems - in some cases with dramatic improvements.

This talk will include examples from smart manufacturing applications.

Biography

Prof. Michael (Mike) 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 noted as one of the original promulgators of ‘service-oriented computing’. He is well-known for establishing local ‘pockets of research excellence’ in service science and engineering in several European countries, China, Australia and the UAE.
He is a contributor of innovations and first-rate science for resolving key scientific problems pertaining to software development, distributed systems, cloud computing, service oriented computing, and smart manufacturing research. 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 23 (authored and edited) books, and well over 200 prestigious peer-refereed papers. He is a distinguished/honorary professor at 11 universities around the globe. He has delivered numerous keynote addresses and chaired 12 prestigious international conferences.

Non-standard machine learning problems in small and big data

by Jose A. Lozano

Intelligent Systems Group
University of the Basque Country UPV/EHU
San Sebastian - Spain

Abstract

Recently the community around machine learning has encountered new problems that depart from the standar problems in classification and regression. These problems present different degrees of uncertainty in learning and also in prediction. In this talk we will provide a classification of non-standar machine learning problems illustrating each of them with case examples. We will also elaborate on their solution and evaluation. We will also deal with the add complexity of the current big amount of data for these problems.

Biographie

Jose A. Lozano received the PhD in computer science in 1998 and is full professor in the Department of Computer Science and Artificial Intelligence at the University of the Basque Country (Spain). His research interest ranged over several areas of computer science, particularly metaheuristic optimization, probabilistic graphical models and machine learning and their application to problems in biomedicine, bioinformatics, ecology and risk analysis, to name a few. Prof. Lozano has published more than 100 ISI journal papers receiving his works about 7600 citations in google scholar. He is currently associate editor of IEEE Trans. On Evolutionary Computation and member of the editorial board of Evolutionary Computation journal, memetic computing and several other journals on computational intelligence.

Shared data infrastructures: From Smart Cities to Education

by Mathieu d'Aquin

Knowledge Media Institute
Open University
UK

Abstract

Many initiatives have shown the value of opening up data, from eGovernment initiatives to corporate efficiency. The environment of Smart Cities is especially interesting, as it not only requires managing, curating and making available widely diverse datasets, but also involves, to be successful, creating an ecosystem in which data collection, processing, analysis and applications can develop through benefiting from a shared data infrastructure. In this presentation, I will describe ongoing research into enabling such ecosystems and data infrastructures, making data sharable, combinable and exploitable. I will also describe how the technological and organisational components required to address these challenges in the environment of a Smart City transfer to several other scenarios, including the one of analysing learners' behaviours through the data they generate (learning analytics).

Biographie

Mathieu d'Aquin is a senior research fellow and head of the Data Science Group at the Knowledge Media Institute of the Open University. He obtained his PhD in 2005 from the University of Nancy, where he worked with oncologist in applying semantic technologies and artificial intelligence techniques for decision support in cancer treatment. He has since become one of the leading researchers in the fields of knowledge engineering and the Semantic Web. Through a number of projects, Mathieu is now focusing on the areas of large scale data management and processing, data curation and governance, data integration, autonomous agents and personal data management, as connected through the concept of shared data infrastructures. Through various projects, he has applied his research to a several domains, including medicine, education and smart cities..

IoT opportunities … catch them all !

by Jérôme Vercaemer

Executive Director in charge of Cisco Consulting
Cisco
France

Abstract

The digital revolution is a source of value creation, Cisco has been able to anticipate and get benefits from the 3 previous main digital transitions of the past 30 year. The 4th one, combining IoT with Big Data and Artificial Intelligence will generate value like never. Digital enters into the tangible and real world, with connected objects. Connecting
people, processes and objects will generate $80Bn of incremental value by 2020 in France and represents a market potential of $15Bn. The world market potential for IoT is estimated to be 20 times this size in 2020 … We will explore what new capabilities and use cases IoT brings, we will have an overview of the early adopters market segments for IoT and we will explore some examples in the city and manufacturing. Finally, based on CIsco’s experience with IoT and connecting everything, we will review lessons learnt and key success factors to adopt broadly IoT and digitisation.

Biographie

Engineering graduate of ISEP, Jérôme Vercaemer joined Accenture in 1991 in charge of telecom projects in France, the Netherlands, Italy and South Africa. In 2003, he joined the public sector division of Accenture France with responsibility for projects in the tax, employment and customs sectors, and held positions in France and the European Union. In 2011, he was appointed Executive Director responsible for "Health and Public Service" in France and became a member of the Accenture France steering committee. Jérôme Vercaemer joined Cisco France on November 9, 2015, as the Executive Director in charge of Cisco Consulting France and a member of the Executive Committee. In this capacity, he coordinates the partnership initiated with the state to accelerate digital development in France and is also a member of the office of Cisco’s Executive Chairman, John Chambers.

He is also a member of the ISEP Board.