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 Agilysis, WSP, Zircon Software, Transport for Greater Manchester, National Highways, and Kaism.

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
Chris Hutchins-Davies, Technical Director, WSP

13:20  Update from National Highways
Gergely Ruccuja, Principal Product Owner, & JJ van de Vyver, Engagement Manager, National Highways

13:40  Data and AI for policy makers in road safety - the balance of performance and useability
Nathan Harpham, Principal Consultant, Agilysis

14:00  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

14:40 Break

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

15:20 Q&A Session 

15:40 Closing Remarks and Next Steps 

16:00 End of Event