Data Privacy
A data and artificial intelligence term used to analyse, automate or optimise infrastructure decisions.
Data Privacy Explained
Data Privacy is a key term within ai & data analytics, where it is used across construction, infrastructure, transport and industrial project delivery. In practical terms, it helps describe how work is planned, specified, delivered, measured or maintained on real sites and assets. Understanding data privacy is useful because the same language is often shared by contractors, designers, suppliers, asset owners, public authorities and investors.
Within Highways.Today’s Dictionary, data privacy should be read as part of the wider vocabulary of artificial intelligence, data science, analytics and automation terms used in infrastructure and construction. It may appear in technical specifications, tender documents, project reports, equipment guides, safety plans, design models, maintenance schedules or news articles. Exact requirements can vary by country, project type, contract form, standard and manufacturer, so readers should always check the relevant local guidance, drawings, regulations and professional advice before relying on the term for design, procurement or operational decisions.
Articles Featuring Data Privacy
Navigating the Crossroads of Data Privacy and Connected Cars
5th November 2023
Navigating the Crossroads of Data Privacy and Connected Cars The landscape of connected technology, deeply interwoven into our daily lives,…
Data Privacy trends and predictions for 2021
30th January 2021
Data Privacy trends and predictions for 2021 Thursday January 28 marked Data Privacy Day, an international effort to empower individuals…
Editorial Note
The Highways.Today Dictionary is maintained as an editorial reference resource for construction, infrastructure, transport and industrial technology professionals. Definitions are intended to support understanding, discovery and research, and may be expanded over time as the Dictionary evolves into a broader illustrated industry reference.