Data Forum

Good quality data is key to applications of AI. Whilst there is an increased focus on how AI can transform how we work, live and travel, the focus on how we ensure we have the right data will become increasingly vital.  How can we enhance and work with data to create more opportunities through aspects like machine learning, LLM, machine vision and other forms of AI?

In this session we will be sharing the latest from across the industry as well as practical examples and case studies, to show how to make data more suitable.  To enable this exploration and discussion, we are pleased to confirm speakers from the Open Data Institute, WSP, Zircon Software, Transport for Greater Manchester, Department for Transport (invited) and a presentation on Kaiasm's work with National Highways. 

A provisional agenda is available below and we plan to issue a full one with more details very soon but in the meantime please do register your place for this event below. 

Agenda

12:00  Arrivals and Lunch

13:00  Welcome and Introduction from WSP

13:10  A Data strategy update and future impact of AI 
Presentation from Department for Transport (invited) 

13:30  How should data be made more AI-ready - and why
Neil Majithia, Researcher, Open Data Institute

13:55  Kaiasm’s work with National Highways to build their ontology – an academic angle
Liam McGee, Chief Scientist, Kaiasm

14:20 Data Quality: How to future proof your AI and Data Solutions
Peter Overbury, Head of AI, Zircon Software

14:45 Break

15:00 Presentation from Transport for Greater Manchester
Sam Li, Senior Innovation Officer, Transport for Greater Manchester

15:20 Q&A Session 

15:40 Closing Remarks and Next Steps 

16:00 End of Event