The Internet of Everything and the Research on Big Data


In recent years, we have seen the beginning of a huge transformation of the society. A new industrial revolution is already taking place, dramatically transforming businesses, the government, the environment, our work and our lives as a whole. This revolution is due to the Internet of Everything (IoE). In the near future, almost all devices will have sensors that will be connected and will continuously generate data to be consumed by other devices and the people. Opportunities created by the availability and integration of all these data are countless, but so are the challenges to be addressed. In this talk, we will present an overview of the main challenges related to Big Data research within the context of IoE. We will start by analyzing the challenges and opportunities related to Big Data management within the context of IoE, including data acquisition, storage, transformation at various stages, mobility and consumption. We will also discuss how industries and people can benefit from the data integration at a very large global scale. Such an integration will make viable the accurate contextualization of all kinds of processes using all information available. This is essential for efficient prediction and decision support and will lead automation to levels that would be considered unthinkable a few years ago..


Dr. Angelo Ciarlini has MSc and PhD degrees in Databases and Artificial Intelligence from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). He has more than 25 years of experience in Software Development and Computer Science research. As part of his activities as Research Head, Angelo manages a team of researchers and interacts with Academia and industrial partners to execute research projects. The R&D Center is focused on Big Data and Angelo manages projects related to various industries, such as Oil&Gas, Health Care, Transportation and Entertainment. Before joining EMC (now Dell EMC), Angelo worked on the development of systems for the industry and as a professor from Universidade Federal do Estado do Rio de Janeiro (UNIRIO). He has actively been working on research related to large scale data processing, parallel algorithms, Databases, Artificial Intelligence, Knowledge Representation and Reasoning, Planning, Simulation and Decision Support. Angelo published more than 50 papers in conferences and journals and is the author of more than 20 inventions.