Insights from data are essential to many IoT applications. Digitization and exploitation of data in products, services, and processes makes it possible to find important patterns and to perform complex analysis and optimization through computation. Artificial Intelligence approaches are revolutionizing the potential of the depths and value for these insights, as well as the scale at which the benefits can be derived automatically.
The approaches enable new and more powerful, time-series analysis; audio, image, and video analytics; and they open the way for self-learning controls and contextual reasoning to derive actionable insights. In combination with novel speech and gesture based user interfaces, AI can support users in a new, natural way in performing their tasks. The compact form of IoT devices and the added value of AI enable both novel applications and business models. This all makes Artificial Intelligence a quickly evolving area in IoT-related research and in industrial applications.
Within the session we will discuss the potential of novel technologies as well as feasible applications of AI for IoT use cases and the experiences from actual deployments.
The session will investigate topics on:
- Automated Machine Learning
- Machine Learning on the Edge
- Semantic modeling and context learning
- Deep Learning for Control
- Constraint Optimization
- Ethics and Applications
Joern Ploennigs, IBM
Dr.-Ing. Joern Ploennigs is scientific researcher and manager at IBM Research – Ireland. He works on several aspects of enriching IoT by cognitive computing including machine learning, semantic reasoning, and natural interfaces to enable autonomous, highly scalable, and accessible IoT solutions for a sustainable future. Prior to joining IBM, he was heading the junior research group at Technische Universitaet Dresden, Germany, as well as the data analytics group in the Irish strategic research cluster ITOBO as Feodor-Lynen fellow of the Humboldt-Foundation. He holds a master in electrical engineering for automation and control and a PhD in computer science from Technische Universitaet Dresden. He is chair of the IEEE IES TC BACM and board member of the IEEE IoT initiative as well as program committee member of several renowned international conferences and journals.
Barry O’Sullivan, University College Cork
Professor Barry O’Sullivan is an award-winning academic working in the field of artificial intelligence, data analytics, AI and data ethics, constraint programming, and operations research, for more than two decades. He holds the Chair of Constraint Programming in the Department of Computer Science at University College Cork. He served as Head of Department, Computer Science, from 2012-2015. He is the founding Director of the Insight Centre for Data Analytics at UCC, and a Principal Investigator at the Confirm Centre for Smart Manufacturing which is based at the University of Limerick. He is an Adjunct Professor at Monash University, Melbourne, Australia.
Professor O’Sullivan is a Fellow and current Deputy President of the European Artificial Intelligence Association (EurAI), one of the world’s largest AI associations with over 4500 members in over 30 countries. Professor O’Sullivan was President of the International Association for Constraint Programming from 2007-2012. In 2013 he received a UCC Leadership Award and won the Association for Constraint Programming Distinguished Service Award in 2014. He was named Science Foundation Ireland Researcher of the Year for 2016, UCC Researcher of the Year in 2017, and elected to membership of the Royal Irish Academy in 2017, Ireland’s highest academic accolade.
Professor O’Sullivan has been involved in winning over €200 million in research funding, of which approximately €30 million has directly supported his research activities at UCC. He runs his own AI consulting firm, AI Machina, and welcomes opportunities to engage in projects with governments, multi-nationals, public bodies, and SMEs, alike.