Keynote Speaker

Knowledge Graph Induction using Distantly Supervised Deep NetsInformation Extraction (IE) analytics are needed to induce Knowledge Graphs (KGs) from text. Adapting IE to new domains is a labor-intensive process requiring Subject Matter Experts (SMEs), Data Scientists and Knowledge Engineers. In addition, a severe limitation of most IE systems is that they are typically unable to identify implicit relations between entities, severely limiting the applicability of KG induction technology to enterprise solutions. In this talk I will present the results of our long-term research program aimed at developing SME friendly technology to induce KGs from domain specific corpora with minimal effort. I’ll describe how to train deep nets for relation extraction using distant supervision and transfer learning by analogy from Linked Open Data and how to identify implicit relations in texts using unary relations, composite contexts and Knowledge Base Completion. Finally, I’ll present a knowledge induction framework able to induce taxonomies directly from text provided as input in any domain, enabling SMEs to easily customize them to their needs.

Biography

Alfio Gliozzo is a researcher with over 13 years of postdoctoral experience in the field of Artificial Intelligence. He manages the Knowledge Induction department at IBM T.J. Watson Research and he is a global leader for the area of Knowledge in IBM research AI. His research focuses on automatic induction of knowledge graphs from text and their exploitation for enterprise AI solutions. He published approx 100 scientific publications, including books, papers and patents. He was part of the Deep QA team that developed Watson, the system that defeated the Jeopardy! grand masters.

Keynote Speaker

The phenomenon we are experiencing and the model which is now simplistically called Industry 4.0, represents a global revolution in the way of "running businesses". What we are currently living is a radical change, that will impact companies worldwide, from the most traditional to the most innovative, from those with a substantial legacy to those born in more recent times, from the manufacturing to the service sectors.

Improving business processes and allowing talents to exploit and nurture the qualities they are endowed with, will be the conditio sine qua non for a correct use and amplifying effect of the benefits provided by the most current technologies enabled in the Industry 4.0 environment. The hyphen linking all successful companies is Global Excellence, as it is now conceived with the aim to reach the highest level of performances, in the least time possible, with the best manner, and by working synergically on three pillars: process optimization (Process Excellence), talents enhancement along with improved interpersonal behaviors (Human Excellence ) and lastly a proper use of new technologies (Digital Excellence).

Today the big issue is the lack of a cultural revolution which should have instead to go hand in hand with the technological one. A cultural revolution able to support of a truly effective technological development, starts from the training and the listening of the human needs, from the protagonist who is returning to be the master of the change in the human technology oriented model of the Society 5.0.

Biography

Visiting Professor (1998) and Guest Researcher (2000) at MIT (Boston, US).
He implemented and developed the first Six Sigma program in Italy (General Electric, 1996).
Chairman of Interuniversity Research Center “StEering” (Statistics for Engineering) promoted by University of Florence, Marconi University and University of Cassino and Southern Lazio.
Board Member of Machine Design Italian Scientific Society (ANVUR recognized).
Member of Editorial Advisory Board of International Journal of Lean Six Sigma.
Author of 130+ scientific papers and 11 books, including Lean Six Sigma: Kaizen Leader and Green Belt Handbook the most widely used book in Italy by industry experts and Lean Six Sigma in Healthcare system, presented in presence of the Italian Health Minister.
Research topics: Lean Six Sigma 4.0, Design for Six Sigma, Axiomatic Design, Design of Experiments, Global Excellence, Innovation.

Keynote Speaker

The 5G network has recently been launched and worldwide researchers, developers and analysts start to think about the next generation network. What will the next network be in 2030, what services will it provide and how will it be organized? In part, 6G will include all services and technologies that are not currently mature for 5G. Nevertheless, it will go further. The 6G network will be immersive in the environment in which people and objects will insist. The services will follow the user and in a seamless way they will be made available to human and to non-human users. The network will be equipped with the intelligence needed to process data, to predict what to make available to the user in real time and to fully integrate the real and digital world. Finally, the network will be sustainable and social. The network will be able to respect the environment and face the challenges of urbanization, growth and aging of the population and accessibility to social services (e.g. education, health care, well-being services) as well as manufacturing automation and verticals (health, transportations, agriculture, energy). This keynote will introduce the drivers and services that the 6G network will provide, what the communication enablers will be envisaged within 2030.

Biography

Romeo Giuliano graduated in Telecommunications Engineering with honors in 1999, received the Master in Business Engineering in 2001 and the PhD in Telecommunications and Microelectronics Engineering in 2004 at the University of Rome Tor Vergata, Italy.

From 2014, he is Associate Professor at the University of Guglielmo Marconi in the Department of Innovation and Information Engineering, teacher of courses in Networks and the Internet, Networks and Wireless Systems and Wireless Systems for Internet Access. From 2011 to 2014, he was a researcher at the University of Rome Tor Vergata in the Department of Enterprise Engineering. From 2001 to 2011, he was a researcher at the RadioLabs (www.radiolabs.it), a research consortium specializing in wireless communications. From 2005 to 2011, he was a contract professor of Radio Transmissions at the University of Rome Tor Vergata. From 1998 to 2000, RG was a researcher at the Telecommunications Research Consortium (CoRiTel).

The main research topics are: 4G, 5G and 6G radio systems, the fixed access unbundling and fiber optic network (e.g. VDSL, G.fast), Internet of Things (IoT) systems, indoor and outdoor positioning systems. Other research interests: UWB technology, unmanned aerial vehicle (UAV/drones), remote train control. He is the author of more than 110 works published on International Conferences and Journals.

From 2016 to 2019, he was responsible for ACME-CUBO at the NATO agency Industrial Advisory Group (NIAG) of the following studies: "ubiquitous communications" on issues related to aerial platforms, land, naval (SG-216), "Unified Vision" in the area of Joint Intelligence, Surveillance and Reconnaissance (Jisr) (SG-221) and "Big Data" (SG-225). In 2016, he was responsible for studies and research on vectoring and on ultra-broadband access technologies in a multi-operator scenario, at the technical table in AGCOM (Resolution 747/13 CONS). From 2011 to 2013, he was the technical responsible of local unit for ROAD NGN project (PRIN 2010): fixed access network over fiber optic copper.

Participation as a speaker at numerous seminars including the following: LTE, LTE-Advanced, LTE-SON, 5G, Small Cells, 5G ultra-broadband networks. He is currently involved or has been involved in some projects such as 4G technologies, new generation fixed networks and remote train control systems.

Keynote Speaker

Artificial Intelligence may accelerate the third Industrial Revolution exploiting Human Knowledge stored in Personal Data. Will the job market and your future job survive this third Industrial Revolution?

Biography

Fabio Massimo Zanzotto is an Associate Professor in the Department of Industrial Engineering of the University of Rome Tor Vergata. He has been working for more than 20 years in the field of Artificial Intelligence (AI) and he is author of many publications in the area of Natural Languange Processing (NLP), Machine Learning applied to NLP and to Medicine.

Recently, he has realized how disruptive our impact as AI researchers can be. Then, he has redesigned my research agenda to help to contribute to a fairer AI.