As available geoscientific data increase both in volume and in quality, and processing technologies evolve constantly, the Geological Survey of Namibia (GSN) needs to integrate innova-tive solutions to meet global standards and help attracting investment into the country. By implement-ing Artificial Intelligence (AI), GSN can further mineral exploration, make geological mapping more accurate, and better monitor the environment. Big data analytics can process large amounts of geolog-ical data for instance for mineral potential mapping, while advanced geospatial technologies provide real-time information on issues such as environmental and natural hazard monitoring to a variety of stakeholders. Challenges including technical skills required to handle complex data and the need for powerful computers, as well as ethical concerns must be addressed, but by adopting these new technol-ogies GSN can contribute to Namibia’s sustainable development. Keywords: Geoscience, Geological Survey of Namibia, artificial intelligence, big data analytics, machine learning, geospatial technology.