Principal Data Scientist
IBM
Jonathan Dunne has over 30 years industry experience working as a Software Developer, Systems and Performance Engineer and currently as a Principal Data Scientist. Jonathanreceived his PhD (Mathematics & Statistics) from Maynooth University in 2018.
Jonathan has co-authored over 20 conference and journal papers on cloud outage detection and network quality of service. He is also the holder of over 300 software patents. His research interests include Service time Modelling and Queueing Theory. He also holds a Level 3 - Distinguished Data Scientist certification from the Open Group. He is also a Data Science governance board member of the Association for Computing Machinery (ACM).
Talk Title: The Future of AI: In Four Pivotal Themes
Description:
In today's rapidly evolving technological landscape, integrating artificial intelligence (AI) has become ubiquitous, providing high-value solutions for clients across multiple industries. As we stand at the intersection of innovation and responsibility, it is imperative to prioritise human-centred AI, ethical considerations, and sustainability in AI development and deployment.
Jonathan’s keynote speech will delve into four pivotal themes shaping the future of AI: Human-Centered AI, AI Ethics, Sustainable AI, and AI Skills for the Future. Jonathan will explore how AI technologies can be designed and implemented to empower individuals, enhance decision-making processes, and foster inclusivity and diversity. Moreover, Jonathan will address the ethical challenges and considerations inherent in AI development, deployment, and governance, emphasising the importance of transparency, accountability, and fairness.
Additionally, Jonathan will underscore the critical role of sustainable AI in mitigating environmental impact and advancing societal well-being. By promoting energy efficiency and reducing carbon footprint, AI can provide a means for positive change when implemented responsibly. Finally, Jonathan will discuss the evolving skill sets and competencies required in the AI-driven future.
Service time Modelling and Queueing Theory