The form of war is accelerating towards intelligence, and the intelligent transformation in the military field is not simply a combination of technology, but a systematic change supported by data, algorithms, and computing power. The three are mutually empowered and organically integrated, forming the technological foundation for the generation of new combat capabilities. To accelerate the intelligent development process in the military field, we should deeply grasp the technological logic of intelligent transformation, consolidate the foundation of data, activate algorithm engines, and strengthen computing power support, providing solid guarantees for winning future intelligent wars. Combat data: The "digital cornerstone" of intelligent transformation. Data is the "blood" of intelligence. Without high-quality, large-scale, and multi-dimensional accumulation of combat data, military intelligent transformation will become a water without source and a tree without roots. In intelligent warfare, the entire process of battlefield perception, command decision-making, and combat operations is essentially the process of data generation, circulation, processing, and application. The completeness, accuracy, and timeliness of combat data directly determine the perception accuracy, decision-making speed, and strike accuracy of intelligent systems, and are indispensable cornerstones for the intelligent transformation of the military field. The core value of combat data lies in breaking the "fog of war" and achieving a transition from experience driven to data-driven. In traditional warfare, commanders mainly rely on battlefield reconnaissance, intelligence analysis, and practical experience to make decisions. Due to the breadth and depth of information acquisition, decisions often have certain subjectivity and limitations. In the era of intelligent warfare, a reconnaissance drone can transmit 5GB of image data per second, satellite networks constantly track thousands of ground targets, and the rate of battlefield data generation increases exponentially. These combat data from multiple domains such as land, sea, air, space, internet, electricity, and psychology, after standardized processing and deep mining, can build a transparent battlefield situation across the entire domain, providing precise decision-making support for commanders. To build a comprehensive combat data resource system, it is necessary to focus on key aspects of the entire lifecycle governance. In the data collection process, it is necessary to base on the needs of global combat, broaden the channels of data sources, and achieve full coverage of data in both traditional and new domains. Traditional space should focus on traditional fields such as land battlefield, naval battlefield, and air battlefield, and accurately collect data on troop deployment, equipment performance, terrain and landforms; The new domain space should extend to areas such as space, deep sea, polar regions, and cyberspace, with a focus on collecting data on space target trajectories, deep sea environmental parameters, and cyberspace situations. In the process of data fusion processing, it is necessary to establish a unified data standard system, solve prominent problems such as "one number, multiple values" and "inconsistent formats", and achieve interconnection and intercommunication of data from different sources and types. In the process of data sharing, it is necessary to establish a sound cross domain sharing mechanism, establish hierarchical classification sharing rules, break down barriers between military branches, departmental boundaries, and network isolation, and build a "ubiquitous, inclusive, and interconnected" data sharing environment to achieve the maximum utilization of data resources. The key to maximizing the combat effectiveness of combat data lies in cultivating data thinking and building a strong professional team. Data thinking is a prerequisite for activating the value of data. It is necessary to guide officers and soldiers to develop the behavioral habits of "thinking with data, speaking with data, managing with data, and making decisions with data", and abandon the traditional thinking mode of relying on experience and intuition. In combat planning, quantitative analysis should be based on data; In training evaluation, precise measurement should be based on data as the standard; In equipment development, iterative optimization should be supported by data. At the same time, efforts should be made to build a specialized team of data talents, clarify the responsibilities of each link, and connect the entire process from data generation to data application. Through various methods such as institutional training, job experience, and specialized training, we aim to enhance the professional skills of officers and soldiers in data collection, processing, analysis, and application, and build a composite talent team that understands both military business and data technology, providing talent support for the release of data value. Professional Algorithm: The "Digital Engine" for Intelligent Transformation If data is the "fuel" for intelligence, then algorithms are the "engine" that converts fuel into power. Professional algorithms, as the core driving force of military intelligence, are a key link in achieving the transformation of data into knowledge, knowledge into decision-making, and decision-making into combat effectiveness. In intelligent warfare, the quality of algorithms directly determines the response speed, decision-making accuracy, and combat effectiveness of the combat system, becoming the engine for the intelligent transformation of the military field. The core advantage of the algorithm lies in reconstructing the combat chain and achieving rapid iteration of OODA cycle. In traditional warfare, the chain of observation, judgment, decision-making, and action is long and limited by manual processing capabilities, often making it difficult to adapt to the rapidly changing battlefield situation. And intelligent algorithms can rely on machine learning, deep learning and other technologies to process massive combat data in seconds, analyze and mine patterns in real time, greatly shortening the decision-making cycle. In the simulation testing of foreign AI military command systems, multiple complete combat plans were generated in a very short time, with response speed and decision-making efficiency far exceeding that of human command teams, fully demonstrating the huge advantage of algorithms in accelerating the decision-making process. In combat operations, algorithms can run through the entire chain of reconnaissance perception, command decision-making, firepower strikes, and effectiveness evaluation, building an autonomous closed-loop "kill chain". From target recognition to threat ranking, from scheme generation to firepower allocation, from strike implementation to damage assessment, algorithms can autonomously complete a series of complex tasks, achieving the combat effect of "discovery and destruction". To enhance the practical application efficiency of algorithms, it is necessary to strengthen technological innovation and scenario empowerment. In terms of technological innovation, it is important to keep up with the development trend of artificial intelligence and accelerate the military application transformation of cutting-edge algorithms. Focusing on new technological directions such as generative AI, neuromorphic computing, and brain computer interfaces, exploring deep integration paths between algorithms and military requirements. In terms of scenario empowerment, it is necessary to build diverse algorithm typical scenarios based on practical needs, develop specialized algorithms for target recognition, situational analysis, virtual training, etc., break through the bottleneck of complex electromagnetic environment information processing, promote algorithm modularization and lightweight transformation, and quickly integrate and fuse with command and control systems and unmanned equipment systems, so that algorithms can continuously iterate and optimize in specific tasks of typical scenarios, and transform algorithm advantages into practical capabilities. Building a strong defense line for algorithm security is an important guarantee for ensuring the stable and far-reaching transformation of intelligence. While algorithms bring about improvements in combat effectiveness, they also face security risks such as tampering, deception, and abuse, and may even result in serious consequences such as' algorithm loss of control '. To establish an algorithm security review mechanism and conduct a full process security assessment of algorithm models in military intelligent systems, with a focus on reviewing the reliability, transparency, and controllability of algorithms to prevent issues such as algorithm bias and logical loopholes. Strengthening the research and development of algorithm adversarial technology requires not only enhancing the anti-interference and anti attack capabilities of our own algorithms, but also mastering the technical means of interfering and deceiving enemy algorithms, and taking the initiative in algorithm adversarial situations. At the same time, attention should be paid to the construction of algorithm ethics, clarifying the boundaries and rules of algorithm applications, ensuring that the development and use of algorithms comply with international legal and ethical standards, and avoiding situations that violate war ethics. Super intelligent computing power: The "digital energy" computing power of intelligent transformation is the fundamental ability to support data processing and algorithm operation, just like the "energy support" of intelligent systems. In the transformation of military intelligence, the explosive growth of data and the complex development of algorithms have put unprecedented demands on computing power. The scale, speed, and reliability of super intelligent computing power directly determine the operational efficiency and combat effectiveness of military intelligent systems, becoming the driving force for the intelligent transformation of the military field. The core role of computing power is to break through performance bottlenecks and support the efficient operation of complex intelligent tasks. The demand for computing power in intelligent warfare presents an "exponential growth" characteristic: an advanced AI command system needs to run thousands of algorithm models simultaneously when processing global battlefield data; A swarm of drones needs to perform real-time massive data exchange and decision calculation when executing collaborative combat tasks; A large-scale virtual adversarial training requires simulating the interactive behavior of tens or even hundreds of thousands of combat units. The completion of these complex tasks relies heavily on powerful computing power support. Without sufficient computing power, even high-quality data cannot be processed quickly, and even advanced algorithms cannot run effectively. Currently, computing power has become an important indicator for measuring the level of military intelligence. Whoever possesses stronger computing power holds the initiative in intelligent countermeasures. To build a computing power system that adapts to the needs of intelligent transformation, it is necessary to create a "cloud edge end" collaborative computing power layout. In the cloud, it is necessary to build a distributed cloud computing power center and construct a computing power base that covers the entire domain and has elastic scalability. Relying on infrastructure such as big data centers and supercomputing centers, integrating various computing resources to form a large-scale and intensive computing power supply capacity. At the edge, we need to promote the deployment of computing power and enhance the autonomous computing capability at the end of the battlefield. For special scenarios such as frontier positions, naval ships, and air platforms, we will develop small, low-power, and highly reliable edge computing nodes to transfer some computing tasks from the cloud to the edge. This can not only reduce the dependence on communication links, reduce data transmission delays, but also ensure that combat units can independently complete basic tasks such as target recognition, path planning, and collaborative cooperation in extreme environments such as communication interruptions or signal blackout, thereby enhancing the system's survivability. At the terminal, it is necessary to enhance the built-in computing power of equipment and improve the intelligence level of individual combat platforms. By embedding high-performance AI chips in platforms such as drones, unmanned vehicles, and missile weapons, equipment is endowed with the ability to perceive, make decisions, and act autonomously, making it an intelligent unit with independent combat capabilities, laying the foundation for cluster collaboration and system confrontation. To enhance the practical level of computing power assurance, it is necessary to strengthen technological innovation and security protection. In terms of technological innovation, it is important to keep up with the development trend of computing power technology and accelerate the military application of new computing technologies. Focusing on cutting-edge directions such as quantum computing, photon computing, and neural morphology computing, breaking through the performance bottleneck of traditional computing architectures, and developing disruptive new computing power equipment. At the same time, we need to strengthen the construction of computing power networks and build a high bandwidth, low latency, and anti-interference computing power transmission network. By integrating technologies such as 5G, 6G, and satellite communication, we ensure computing power collaboration and data exchange between cloud, edge, and terminal, achieving seamless connection and efficient scheduling of computing resources. In terms of security protection, it is necessary to establish a computing power security guarantee system to prevent the risk of computing power resources being attacked, hijacked, or abused. By using encryption computing, trusted computing and other technologies, ensure the security and privacy of data during the calculation process; Strengthen the physical and network protection of computing power facilities, build multi-level and all-round protective barriers, and ensure that computing power systems can operate stably during wartime without interference or damage from the enemy. (New Society)