Amid the tidal wave of rapid development in artificial intelligence and Internet of Things technologies, Shanghai Dishan Technology Co., Ltd. is advancing with firm strides to drive a profound transformation centered on intelligent inclusiveness.
The company has explicitly put forward its vision of "accelerating the application of AI and IoT to build a world where edge AI is accessible to all". This vision not only demonstrates its strategically forward-looking technological layout, but also underscores its strong sense of social responsibility to empower intelligent technology to truly serve the general public.
Edge AI refers to a technology that shifts artificial intelligence computing capabilities closer to data sources. It enables faster data processing and response, reduces reliance on the cloud, and thereby delivers a more efficient and intelligent local service experience to users.
As a pioneer in the industry, Dishan Technology is leveraging technological innovation, ecosystem construction and the fulfillment of corporate responsibilities to pave a practical and viable path for the popularization of edge AI—moving intelligent technology "from the cloud to the user's side" and "from the laboratory into daily life".
AI+IoT: Building the Cornerstone of Edge Intelligence and Ushering in a New Era of the Intelligent Internet of Everything
Artificial Intelligence (AI) endows devices with the capabilities of "thinking" and "decision-making", while the Internet of Things (IoT) connects everything to form a vast data network. Dishan Technology has keenly recognized that the in-depth integration of the two is the key to achieving true intelligence.
By deploying AI algorithms at the edge—i.e., on devices or gateways close to data sources—the company is building an intelligent ecosystem characterized by low latency, high efficiency and enhanced security. This Edge AI model avoids network latency and bandwidth pressure associated with traditional cloud computing, enabling faster intelligent responses. It is particularly suitable for scenarios with stringent real-time requirements, such as healthcare monitoring, smart manufacturing and intelligent transportation.
For example, in the field of intelligent transportation, Edge AI can analyze data from road intersection cameras in real time and adjust traffic light durations in milliseconds, effectively alleviating urban traffic congestion. On industrial production lines, AI algorithms embedded in sensors can instantly detect equipment anomalies and automatically adjust parameters, reducing the downtime rate caused by faults by over 30%.
In addition, Edge AI has distinct advantages in privacy protection: data is processed locally without being uploaded to the cloud, greatly enhancing users' sense of security.
Technological Breakthroughs: From Core Algorithms to System Integration, Building Full-Stack Edge AI Capabilities
Dishan Technology has continued to deepen its efforts in the field of core AI technologies, building a full-stack technology system that spans from algorithm R&D to system integration. Leveraging advanced machine learning and deep learning algorithms, the company has achieved remarkable results in natural language processing, computer vision and speech recognition.
Its newly developed intelligent dialogue system integrates speech recognition, language models and text-to-speech conversion technologies, delivering a highly human-like interactive experience. This system is not only applicable to scenarios such as customer service, education and medical consultation, but also provides a mature paradigm for localized interaction in edge AI applications. For instance, in smart communities, residents can control home devices and inquire about community services via voice commands—all interaction data is processed locally on edge devices without relying on the cloud, ensuring uninterrupted service even when the network is down. In addition, the system has been applied to intelligent in-vehicle assistants and smart home control, greatly enhancing the convenience of users' daily lives.
Meanwhile, the company is actively exploring the application of AI in vertical domains such as medical image diagnosis and financial risk control. Its AI system can assist doctors in accurately identifying lesion areas, improving diagnostic efficiency; in the financial sector, it can monitor transaction behaviors in real time and effectively alert risks through behavioral analysis models. Taking the medical field as an example, the AI image diagnosis system developed by Dishan Technology has been piloted in multiple Grade A tertiary hospitals. Compared with traditional methods, it has increased the detection rate of pulmonary nodules by 20% and reduced the misdiagnosis rate by 15%, significantly lightening the workload of medical professionals. These practices have accumulated valuable experience for the implementation of AI+IoT in edge scenarios.
Furthermore, the company has developed lightweight AI models. Through model compression technology, the algorithm size has been reduced to 1/10 of that of traditional models, ensuring smooth operation even on edge devices with limited computing power and laying a solid technical foundation for the popularization of AI.
People-Oriented: Promoting the Popularization and Accessibility of Edge AI to Bring Intelligence to the Masses
"Building a world where edge AI is accessible to all" is not merely a technological goal, but a social vision. Dishan Technology adheres to a market demand-oriented approach and is committed to lowering the technical barriers and deployment costs of edge AI. Through modular design, lightweight model compression technology and an open development platform, small and medium-sized enterprises (SMEs) and even individual developers can conveniently integrate and apply edge AI capabilities.
For example, the company’s launched Edge AI Development Kit integrates commonly used algorithm modules and hardware adaptation solutions. Developers only need simple configurations to quickly build intelligent applications, reducing the development cycle by over 60%. In addition, Dishan Technology has established an Edge AI Application Marketplace, offering hundreds of pre-built AI models and solutions covering diverse fields such as smart retail, agriculture and security. Users can achieve intelligent upgrading with a plug-and-play experience.
Whether it is the smart home assistant in a smart household or the environmental monitoring system in an agricultural greenhouse, edge AI is gradually permeating every aspect of daily life. In the agricultural sector, Dishan Technology has collaborated with agricultural cooperatives to develop a Smart Greenhouse System. By leveraging edge AI to analyze data such as soil moisture and light intensity in real time, and automatically regulating irrigation and ventilation equipment, the system has increased crop yields by 15% and reduced water waste by 40%. This system has been promoted in multiple provinces, helping farmers achieve precision farming.
The company has also launched an AI Empowerment Program to provide technical support and financial subsidies for SMEs. To date, it has helped over 200 enterprises complete their digital and intelligent transformation, truly realizing the vision of "intelligence everywhere".
Responsibility and Collaboration: Co-building a Sustainable AI Ecosystem and Leading Industry Standards
Faced with the ethical and security challenges posed by AI technology, Dishan Technology has always maintained a responsible attitude. The company actively participates in the formulation of domestic and international AI policies and standards, advocating a path of AI development that is transparent, fair and interpretable.
For instance, it has incorporated an "Interpretability Module" into algorithm development to visualize the AI decision-making process and enhance user trust. This module can clearly demonstrate how AI conducts analysis and makes judgments, ensuring that users understand and remain in control of its decisions. In terms of data usage, Dishan Technology strictly complies with privacy regulations and adopts federated learning technology to enable collaborative modeling under the principle of "data non-exfiltration". This approach not only safeguards data privacy but also improves model accuracy.
Meanwhile, the company has extensively collaborated with universities, research institutions, and upstream and downstream enterprises in the industrial chain to build an open and collaborative innovation ecosystem. It has established "Joint Edge AI Laboratories" in partnership with institutions such as Tsinghua University and the Chinese Academy of Sciences (CAS) to jointly tackle core technical challenges. It has also engaged in in-depth cooperation with chip manufacturers and equipment producers to promote the standardization and cost optimization of edge AI hardware.
Through technology sharing, talent co-cultivation, and scenario co-creation, Dishan Technology has initially built a full industrial chain ecosystem covering the "cloud-edge-device" continuum, driving the large-scale application of edge AI technology. Additionally, Dishan Technology conducts regular security audits and risk assessments, and has set up a dedicated ethics committee to ensure that every technology application adheres to the highest ethical standards.
Looking Ahead: Toward a World-Leading AI Innovation Hub, Mapping the Blueprint for Inclusive Intelligence
Standing at the new starting point of the leap forward in artificial intelligence technology, Dishan Technology is closely following the trends revealed in the 2024 AI Index Report and continuously pushing the boundaries of technology. While AI still has room for improvement in areas such as visual reasoning and complex planning, Dishan Technology firmly believes that through sustained innovation and cross-border integration, edge AI is bound to embrace broader development prospects.
Over the next three years, the company will focus on overcoming the challenges of "multi-modal edge AI" technology to realize the real-time fusion and processing of multi-dimensional data such as voice, images and touch. At the same time, it will lay out technical reserves for "AI+6G" and explore new application scenarios for edge AI under ultra-high-speed networks. In terms of global layout, Dishan Technology plans to establish regional R&D centers in Europe and Southeast Asia, and cooperate with local enterprises to develop adaptive solutions, promoting the global popularization of edge AI. However, in this process, the company also faces challenges such as the uncertainty of technological R&D, the rapid changes in the global market and the intensification of talent competition, and needs to continuously adjust its strategies to address potential risks.
Looking ahead, Dishan Technology will continue to prioritize talent and take technology as its core, deepen the integrated application of AI and IoT, and drive intelligence from "specialized use" to "inclusive access" and from "single-scenario application" to "full-scenario coverage". The company’s vision goes beyond mere technological breakthroughs; it is more committed to building a social ecosystem of "intelligent inclusiveness": enabling students in remote mountainous areas to access AI-assisted education, small and micro enterprises to afford intelligent quality inspection systems, and every elderly person to obtain health monitoring services through edge AI devices. This is not only the mission of a technology enterprise, but also the due warmth and responsibility of the intelligent era.
With the continuous maturity of edge AI technology and the gradual improvement of its ecosystem, Dishan Technology is working hand in hand with all stakeholders to jointly map out a bright future where everyone can enjoy the convenience of intelligent technology.
