The deep integration of digital information technology and power technology is driving innovation in power system applications and business domains, making digital-intelligence technology a key enabler for the construction of new power systems and the digital-intelligence transformation of the power industry. First, this paper explores the characteristics of the entire process of data acquisition, processing, transmission, storage, and utilization in new power systems, providing an overview of typical data research methods for each stage. Then it summarizes and analyzes typical business scenarios across the “generation-grid-load-storage” segments of new power systems, discussing the current state and future directions of key digital-intelligent technology applications in each scenario. Finally, this paper envisions innovative business scenarios for future power system digital-intelligent transformation, assessing key development trends such as the construction of an information security framework, data-sharing blockchain platforms, comprehensive IoT ecosystems, and industry-specific large AI models. This study provides theoretical foundations and strategic guidance for the iterative development and application of digital-intelligent technology in new power systems, promoting the low-carbon and digital transformation of the power industry.