The utilities industry is facing significant challenges, including updating grid infrastructure and responding to a rapidly evolving regulatory landscape. Innovative companies are exploring the use of Artificial Intelligence and IoT to optimize business models and meet changing customer expectations, with Spatial Data Science playing a crucial role in driving success. Many utility providers intend to ramp up their investment in geospatial capabilities, but face challenges in attracting top talent due to high demand from tech giants and financial services. Geospatial data science is being used to address various business problems, including EV infrastructure rollout, solar potential analysis, and churn reduction. For example, spatial analysis can help utilities companies understand the location of electric vehicle buyers, optimize charging infrastructure placement, and identify areas with high churn rates. By leveraging location intelligence, utilities providers can increase occupancy profitability, customer satisfaction, and revenue generation from public charging points and home charging services.