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Interview like artificial intelligence( AI). AI is poised to become a critical enabler of many shared goals within the transportation sector, such as safety, efficiency, economic competitiveness, and mobility.
Successful AI implementation in transportation organizations relies on several critical building blocks. They are essential for creating a robust and scalable AI pipeline that can support current and future needs. These building blocks are Leadership, Processes, Data, Technology, People, and Effective Delivery.
These building blocks are not standalone components; they are deeply interconnected. For example: high-quality Data feeds into Processes, ensuring accurate governance and model reliability. A skilled People function supports the Technology building block by driving innovation and execution.
In addition, some elements depend on external factors like system interoperability standards, digital infrastructure, connectivity, and evolving regulations. Achieving these
requires collaboration with stakeholders, including industry partners, academia, and other transportation organizations.
Leaders in transportation organizations must adopt a holistic approach, integrating these building blocks to create a unified, scalable AI pipeline. This will ensure readiness for both current AI demands and future innovations, enabling organizations to enhance safety, efficiency, economic competitiveness, and mobility in the transportation sector. ■
Dr Sinan Yordem www. cambridgeconsultants. com
Dr Sinan Yordem is Senior Vice President, Head of North America Advisory, Energy & Smart Infrastructure at Cambridge Consultants. Sinan grows and develops businesses through the power of innovation. With more than 15 years’ experience of leading start-up and corporate growth initiatives, he’ s delivered breakthrough physical products and digital services to government and industry clients across the world.
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