Back
Business Explorer Breakfast Series: From Code to Capability - Guiding Businesses through AI Adoption
-
Date:Wednesday 10th December 2025 | 08:30am - 09:30am
-
Location:This session will be conducted via Teams
-
Price:FREE
Next up on the Business Explorer Breakfast Series: From Code to Capability – Guiding Businesses Through AI Adoption
The Business Explorer Team is pleased to invite you to this event featuring leading academics specialising in Artificial Intelligence and Machine Learning. Join our experts as they explore practical approaches to AI adoption and the opportunities it presents for SMEs. Gain key insights into the future of AI-driven innovation and discover real-world applications across multiple sectors.
Business Explorer is a funded programme aimed at connecting businesses directly with the technical specialist support they need to innovate. This event is aimed at SMEs considering new product development or process improvement.
Join us on Wednesday 10th December as we discuss:
- Steps to secure funding through the Business Explorer programme
- How to access support from technical specialists
- The impact of AI and Machine Learning on SME innovation
- Practical applications and real-world case insights
Featured Speakers
Prof. Michaela Black
Prof. Michaela Black is a leading expert in Artificial Intelligence at Ulster University, with over 70 publications and more than £7M in research and pedagogic funding. Her work spans telecoms, healthcare, finance, education, and marketing. She led the €4.5M EU-funded MIDAS project on health data integration and co-directs engage, a digital stakeholder platform influencing policy across Europe.
Michaela is an ambassador for NI’s AI Centre for Collaboration and City Deals, an advocate for STEM, and a champion for diversity through initiatives such as Athena Swan and EPSRC’s Inclusion Matters.
Dr Brian MacNamee
Dr Brian MacNamee is an Associate Professor at the School of Computer Science, University College Dublin, UCD Site Director at the Insight SFI Research Centre for Data Analytics, and Co-Director of ML-Labs, the SFI Centre for Research Training in Machine Learning.
Brian’s research focuses on interactive machine learning that places people and their expertise at the centre of the model training process. His work spans agriculture, space, medicine, and virtual reality. He is also Director of Training at Krisolis and co-author of the international textbook Fundamentals of Machine Learning for Predictive Data Analytics, published by MIT Press.