Group 1 - The project utilizes the self-developed Xinghai·IMS development platform by Guoneng Xinkong, achieving a transition from "manual-driven" to "data-driven" operations in power maintenance through advanced visual operation and intelligent knowledge integration [2] - The platform significantly reduces technical barriers by employing visual operation middleware, allowing for graphical encapsulation of operations and zero-code driving, leading to a 50% reduction in new product deployment cycles and a 45% decrease in maintenance labor costs [2] - The implementation of dynamic knowledge graphs and AI technology enhances decision-making and operational efficiency, enabling junior maintenance personnel to perform 80% of mid-to-high-level operations, effectively addressing the shortage of specialized talent [2] Group 2 - The TiD2025 conference focuses on "new quality productivity, supporting high-quality software development," discussing disruptive practices such as AI-native development and large model-driven testing [3] - The evaluation of excellent cases is based on four dimensions: innovation, applicability, completeness, and effectiveness, reflecting the latest achievements in digital transformation and high-quality development within the software industry [3] - Selected cases highlight the unique innovations in software development, testing, agile methodologies, and financial technology, showcasing the industry's progress in enhancing operational efficiency and effectiveness [3]