Content
- Introduction to AI and business analytics?
- Addressing hype, myths, and realities.
- AI and business analytics in the wider context of Digital Innovation and Transformation.
- What are the ingredients required to successfully leverage AI & Business Analytics.
- Augmenting existing business processes using AI and Business Analytics
- AI and its application in business
- What business problems can be addressed with analytics?
- Demystifying the terminology and the tools
- Evaluating the performance of analytics technology.
- What business problems can be addressed with AI?
- Demystifying the terminology and the tools
- Evaluating the performance of AI technology.
- What are the risks associated with AI and analytics?
- Risk management with an emphasis on People, Governance, Culture and Technology.
- An ethical and regulatory perspective
- Real-world examples of the successful deployment of AI and analytics
- Real-world examples of challenges faced, drawn from areas such as Audit/Accounting, Customer Analytics, HR and People Analytics, Sports and Performance Analytics, Healthcare and Medtech, Energy, Transport, and Finance.
Meet the Faculty
Our dedicated team of faculty are widely recognised as skilled educators, ground-breaking researchers and accomplished authors. Through publishing, consulting and teaching they leverage their business expertise and field-based research to deliver programmes, encourage participants to develop new ways of thinking, widen their perspectives and to understand their own challenges and capabilities. The faculty present topics in a range of engaging methods such as ‘action learning’ projects, case studies, role plays, individual assessment and one-on- one coaching, to deliver a unique and lasting learning experience.
Professor Joe Peppard is Academic Director at UCD Smurfit Executive Development. Previously, he was a faculty member at MIT Sloan School of Management, ESMT Berlin, and at Cranfield School of Management, UK. A leading authority on digital transformation, his research studies contemporary issues and challenges that managers face in an environment of accelerating technological change. While academically rigorous, with his research he seeks to steer a pragmatic path. He recognises that managers want frameworks and models to help them understand their own predicaments, insights to figure out options and consequences, and clear actionable advice and guidance. In his writings and teaching, Professor Peppard seeks to help the busy manager to be successful. Last year, The Wall Street Journal cited his research on digital transformation as one of “10 tech events that will shape the future.”
Professor Michael O'Neill is Full Professor of Business Analytics in the UCD School of Business, and a founding Director of the UCD Natural Computing Research & Applications Group. He is currently Subject Area Head of Management Information Systems in the UCD College of Business, and has previously served in a number of senior leadership roles including Associate Dean - Director of the UCD Michael Smurfit Graduate Business School, Vice-Principal UCD College of Business (Research, Innovation & Impact), and Director of UCD's Institute for interdisciplinary research, the UCD Complex & Adaptive Systems Laboratory (CASL).
Dr. Annunziata Esposito Amideo is an Assistant Professor in Management Information Systems at UCD Quinn School of Business. She joined in October 2019 after earning a PhD in Management Science from Kent Business School, where she also served as a Lecturer. Annunziata holds a M.Sc. and B.Sc. in Management Engineering from University Federico II of Naples, both awarded cum laude. She has worked on research projects in optimization models and algorithms for communication and transportation networks. Annunziata is actively involved in several professional organizations, including EURO WISDOM, The UK OR Society WORAN, and UCD Women@STEM.
Dr. Mark Connor is an Assistant Professor at UCD School of Business and a member of the UCD Natural Computing Research & Applications Group. Previously, he was an Assistant Professor at the University of Suffolk and a Senior Data Scientist at EY, leading AI and analytics projects. He also served as Research and Innovation Lead at STATSports, focusing on wearable sports technology.
Mark earned his Ph.D. in Artificial Intelligence in 2023 and has over eight years of experience in industry and academia. His research interests include graph machine learning, federated learning for privacy, and adaptive learning systems for health and performance optimisation.
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