Zenzic organises, supports and attends a programme of events in the UK and beyond. These events support the ongoing work to share evidence, knowledge and create alignment within the CAM ecosystem.
Over 500 exhibitors gathered in one arena. See the latest technologies and products from automakers, parts suppliers, materials & chemical manufacturers, IT and software companies, and many more, all supporting the future of mobility.
Now in its eighth year, MOVE brings together the visionaries who are shaping the future of mobility to knowledge-share, collaborate, innovate and inspire. MOVE will feature 250+ world-class speakers from automotive OEMs, fleet operators, CPOs, tech providers and their partners. Electric, autonomous, software-defined: The future of mobility starts here.
This webinar provides a practical overview of the frameworks that shape deployment across settings such as ports, airports and industrial sites.
The LCRIG Innovation and Learning Festival is the must-attend event for industry leaders and professionals dedicated to advancing highways maintenance and transport technology. Featuring live demonstrations, CPD technical training sessions, and facilitated workshops, this interactive event is focused on innovation, learning, and collaboration.
Join the UK Division of VINCI Construction for the fourth Innovation Inspiration Day. Embracing new technologies and materials, bringing together people with knowledge of the challenges alongside those who have knowledge of the solutions, to Innovate Better Together.
This session examines how the international CAM landscape has evolved since 2023, analysing legal, commercial and deployment trends across key international markets.
This webinar explores how supply chain capability and technology trends intersect to highlight the domestic areas of greatest opportunity.
North East England manufacturers and automotive supply chain businesses can access government funding for R&D, software, and CAM innovation, with expert guidance available across all stages from SMEs to large-scale transformation.
{{ teamMember.name }}
{{ teamMember.title }}