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AI & the Smart Enterprise

Insight Centre for Data Analytics

Thursday, 7 June 2018 from 08:00 to 13:00 (IST)

AI & the Smart Enterprise

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Type End Quantity
AI & the Smart Enterprise 4 Jun 2018 Free  

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Event Details

Where does the enterprise go in the age of data and Artificial Intelligence? The modern enterprise will be more self-reflective, making it smarter through a broader and deeper understanding of its operations, its customers, employees and operating context, driving better services and better performance. More data than ever is available, providing opportunities and challenges. AI offers tools for data analysis and analytics through natural language understanding, computer vision, machine learning and automated decision making.

This seminar will present and discuss use cases, challenges and opportunities in applying AI for data analysis and analytics in the Smart Enterprise.


Event Format

Panel discussions with use cases from industry and academic research, followed by a networking lunch with demonstrator presentations.



08:00 - 08:30 Registration
08:30 - 10:00 Panel I (Moderator: Claire O'Connell, Irish Times)
Dr. Paul Buitelaar, Vice-Director Insight Centre for Data Analytics, NUI Galway
Natural Language Processing for the Smart Enterprise

Dr. Maciej Dabrowski, Chief Data Scientist, Genesys
Building Successful Machine Learning Products

Dr. Dave Tierney, Analytics Innovation Manager, AIB
AI in Retail Banking - Challenges and Opportunities

Dr. Suzanne Little, Insight Centre for Data Analytics, DCU
Talk title to be announced

Dr. Gurchand Singh, Head of Garda Síochána Analysis Service
Driving analytics in the public sector
10:00 - 10:30 Coffee break
10:30 - 12:00 Panel II (Moderator: Claire O'Connell, Irish Times)
Mr. Neil O’Connor, Director of Architecture & Innovation in Customer Engagement, Avaya
Evolving Customer Experience in the Data-Driven Age

Dr. Derek Bridge, Insight Centre for Data Analytics, UCC
Responsible Recommender Systems for the Smart Enterprise

Mr. Fintan O'Malley, Project Manager, Fidelity Investments
Talk title to be announced

Dr. Georgiana Ifrim, Insight Centre for Data Analytics, UCD
Explainable Machine Learning Models for Structured Data

Mr. Pat O'Sullivan, ‎IT Architect, IBM
Analytics, AI and Regulatory Compliance
12:00 - 13:00 Light lunch, networking and demonstrator/poster session



Mesut Kaya Intent-Aware Diversification using Item-Based SubProfiles
Kevin Mc Guinness Smart digital asset management with automatic brand and logo recognition.
Suzanne McCarthy Combining Web and Enterprise Data for Lightweight Data Marts
Jiang Zhou A Text Recognition and Retrieval System for e-Business Image Management
Rémi Venant Towards the automatic evaluation of the perceived diversity of a company based on its public communications.
Thu Le Pham A Semantic Framework for IoT-enabled Communication System for Smart Enterprises
Sina Ahmadi Cross-lingual data linking
Demian Gholipour Extracting Timelines from Decades of News
Mohamed Adel Rezk Building Smarter Government Enterprises through Discovery of collaboration opportunities in Open Government Data Catalogues.



Cécile Robin Smartie: The Irish Times Smart Insight Extractor
Andrew Parnell & Aidan Boland Dynamic Product Classification in E-commerce
Umair ul Hassan Towards Building a Collaborative Data Science Platform
Ian Wood MixedEmotions - a linked data friendly, scalable platform for multimodal emotion recognition
Andrea Visentin Scheduling software for production planning and what is scenarios.


Speaker Bios

Dr. Paul Buitelaar is Senior Lecturer of Informatics at NUI Galway and Vice-Director of the Insight Centre for Data Analytics, where he leads a research group in Natural Language Processing. Before joining NUI Galway in 2009 he was Senior Research Fellow at the German Research Centre for Artificial Intelligence (DFKI) in Saarbruecken, Germany. His main research interests are in the development and use of Natural Language Processing methods and solutions for semantic-based information access. He has been involved in a large number of national and EU funded projects in this area. In recent years his team developed the Saffron framework for knowledge extraction, which has been used in industry applications with Irish Times, Kennys and HP. Other lines of recent research have been on multilingual knowledge graphs and on development of the EU funded MixedEmotions platform for multilingual and multi-modal emotion analysis.

Dr. Maciej Dabrowski is the Chief Data Scientist for the AI group at Genesys, the market leader in customer experience, where he and his team focus on creating value and building AI driven products. Prior to joining Genesys Maciej was the Chief Data Scientist of Altocloud where he was responsible for the Machine Learning platform that uses Apache Spark to train hundreds of predictive models and apply them in real-time to millions of events a day. He is the founder of the Galway Data Meetup with over 250 members and received a number of awards for his work. He was shortlisted as one of the four finalists of the DatSci 2016 competition in the Data Scientist of the Year category.

Dr. Dave Tierney Hi! I'm Dave. I am the Lead Data Scientist on the Analytics Innovation team in AIB. My area of expertise is converting ideas into exciting new solutions using data science. My key area of focus are creating machine learning algorithms for business problems, determining our AI strategy and fostering a culture of innovation in AIB. Before working in finance I worked with NASA, ESA, USDOD & USDOE during my PhD in Astrophysics.

Dr. Suzanne Little

Dr. Gurchand Singh heads up the Garda Síochána Analysis Service. Established in 2007 it aims to support policing, at both a strategic and operational level, through the provision of analysis that can deliver actionable insights. The work of the Service has been recognised both internally in An Garda Síochána and externally. Indeed, in 2017 the Analysis Service won the Data Science Award for the Best Use of Evidence in the Public Sector. Prior to this, Gurchand worked in the Home Office in various roles including Programme Director for Crime and Drugs Analysis and Research, Programme Director for Communities Analysis and Research, Head of the Race Relations Research Section. Gurchand started his career in academia, where he lectured on social research methods, social theory, and inequality. Gurchand is also a member of the Analytics Institute (the new professional body for Analysts in Ireland) and is part of their Industry Advisory Group.

Mr. Neil O’Connor is Director of Architecture & Innovation in Customer Engagement at Avaya. He is one of the limited cohort in Avaya, and the only in Europe, who holds the Distinguished Engineer designation for pioneering contributions to both Avaya and to the wider industry. Spanning a career of 20+ years, Neil has spent time working in the UK, Germany, and Ireland on a range of products and technologies from PSTN central office switching, to embedded VoIP, to enterprise applications. More recently Neil has been at the forefront of Avaya’s emerging suite of cloud-based products employing reactive architectural principles, and the strategic application of AI and ML services to the Customer Care industry. His skills and advice are sought at all levels in the largest and most complex customer care operations around the world. He is a named inventor of 42 granted US patents, and previously served on the Intellectual Property steering committee of the Insight’s predecessor, the Digital Enterprise Research Institute. Neil holds a BSc(Eng) degree from the University of Dublin, and a Diploma in Applied Project Management from UCC.

Dr. Derek Bridge holds a B.Sc. in Computer Science from Brunel University, and a Ph.D. in Computer Science, which was awarded in 1991 by the University of Cambridge. Between 1987 and 1989, he was a lecturer in the Department of Computer Science at the University of York. In 1989, he moved to take up a senior lectureship in the Department of Computer Science at University College Cork, where he founded the Knowledge Engineering Group and became an associate member of the Cork Constraint Computation Centre (4C), later to be incorporated into the Insight Centre for Data Analytics. Within Insight, he has been leading the Recommender Systems Group at national level. He has nearly thirty years' research experience in the field of Artificial Intelligence. His work spans many areas including: natural language processing, machine learning, formal concept analysis and ant algorithms. But he is best known for his work in two fields: case-based reasoning and recommender systems. He has published over 100 papers, and has won six best paper prizes.

Mr. Fintan O'Malley In his current role, Fintan oversees all R&D incentive programs at an Ireland and European level for Fidelity Ireland. His role encompasses the development of new services and products funded by or initiated through R&D and the contractual management and protection of IP associated with same. With research collaboration forming a key objective of Fidelity Ireland, part of Fintan’s role is to build stronger relationships with research institutions and develop a framework for engagement to encourage new business opportunities across Fidelity’s many business groups. Fintan joined Fidelity Investments in 2007 as a Software Development Manager within its Market Data division and moved into his current role in 2015. Prior to Fidelity, Fintan held a number of technology management positions with Nortel Networks. Fintan holds a B.Sc. in Information Technology  and an M.Sc. in Internet Engineering, both from DCU.

Dr. Georgiana Ifrim is an Assistant Professor at the School of Computer Science, University College Dublin, Ireland, and an SFI Funded Investigator with the Insight Centre for Data Analytics, Ireland. She holds a PhD (2009) and MSc (2005) in Computer Science (Machine Learning), from Max-Planck Institute for Informatics, Germany, and a BSc (2003) in Computer Science, from University of Bucharest, Romania. Dr. Ifrim's research focuses on developing scalable predictive models for machine learning and data mining applications. She has developed new methods for sequence learning, time series classification, text mining, and real-time prediction for news and social streams. Dr. Ifrim has worked on application domains ranging from Web mining, news and social media, energy, biology and online marketplaces. Her current research focuses on the design of effective and interpretable learning models for structured data (e.g., DNA, time series) and on real-time content recommendation and summarisation for text streams (e.g., news, Twitter feeds).

Mr. Pat O'Sullivan is the Senior Technical Staff Member (STSM) responsible for the evolution and development of the IBM Industry Models. Pat is responsible for various aspects of Models integration with technology such as Data Lake, Big Data/Hadoop, DW Appliances, ETL tools and Master Data Management. More recently Pat has been leading an initiative to incorporate Machine learning into the processes to integrate the IBM Industry Models into the Data Lake infrastructure. Previously Pat was involved for many years in the Banking Models development and was one of the original team that created the Banking Data Warehouse – a suite of Data Warehouse models that have been licensed by over 400 Financial Institutions worldwide. Pat has 25 years DW/Industry Models experience and holds a BSc in Computer Applications from Cork Institute of Technology.

Car Parking

For your convenience, the Helix has a fully secure multi-story car park conveniently located directly opposite the main building. Car park tickets can be purchased from Helix Café Bar at a reduced price of only €4 for the duration of your entire stay.
For more information about public transport, please check this page.


If you do not wish to use Eventbrite Inc, please email or phone 091 495008 and we will endeavour to register you for this event subject to the maximum of 120 attendees. Please note that persons under 18 years must have parental or guardian consent to register for the event.

Do you have questions about AI & the Smart Enterprise? Contact Insight Centre for Data Analytics

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When & Where

DCU, The Helix
DCU Campus, Collins Avenue,
D09 FW22 Dublin 9

Thursday, 7 June 2018 from 08:00 to 13:00 (IST)

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Insight Centre for Data Analytics

The Insight Centre for Data Analytics is a joint initiative between researchers at Dublin City University, NUI Galway, University College Cork, University College Dublin and other partner institutions. Insight brings together more than 400+ researchers from these institutions, 100m+ funding, and with over 80+ industry partners, to position Ireland at the heart of global data analytics research.

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