The center hosts the Forum on most Thursdays during Fall and Spring semesters (note schedule below) at 3:30-4:30pm in 5103 Jordan Hall, NC State Central Campus. Light refreshments and coffee are served at 3:00 pm in the 5th Floor lobby. Check the program below for topics that may interest you. We hope to see you at a future Forum!
The report, funded by the Geospatial Commission and published by PUBLIC, an organisation that helps technology start-ups work better with the public sector, analyses commercial opportunities for use of geospatial and location data, considers the maturity of each technology in the UK, and provides numerous case studies and success stories. Geospatial and location data is a valuable tool for both the public and private sectors, helping them make better decisions, which could range from tackling crime hotspots or finding the quickest routes for emergency services, to deciding where best to locate warehouses. The Geospatial Commission was launched in 2017, and supported by £80m of funding over that time to drive the move to use this data more productively. This work builds on wider Cabinet Office plans for cross-government digital transformation, including a new Technology Innovation Strategy, launched in June, which sets out the government's approach to boosting the adoption of new technologies across the public sector. Minister for the cabinet office, Oliver Dowden, said: "Government investment in geospatial data is helping to grow our economy and improve public services. I welcome this report and look forward to taking the opportunities of geospatial technology even further."
Over the years, Deep Learning has become the most popular approach to developing Artificial Intelligence (AI) – machines that perceive and understand the world. It empowers geospatial ecosystem by providing real-time near-human level perception; integrates into analytical workflows and driving data exploration and visualisation – automating the entire process of creating scalable insights from large amounts of data. Such machines will be able to'understand' geospatial information themselves and with deep learning, able to self-obtain geospatial information from their surroundings as per required to do their jobs, processing it in real time. This is truly an extraordinary time. AI and Deep Learning have been applied to a vast range of industries, from healthcare, to finance, advertising and retail, to manufacturing and transport.