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IoT and AI Capability With the rapid growth of IoT and AI, fully-connected devices are able to provide more convenient and efficient management, integrate terminal devices with perception and monitoring capabilities, help customers explore data value using AI on HUAWEI CLOUD, and
Data-AI convergence: AI and government models facilitate the data governance pipeline. Professional data governance service that adopts Huawei's data governance methodology.
PaaS capabilities cover big data analysis, heterogeneous algorithms, AI, and block chain. Digital Hospital, as a part of the inclusive AI strategy, offers more intelligent, efficient, and cost-effective hospitals. It also enables upper-layer services in the healthcare industry.
Solution AI pushes the accuracy of energy data analysis up to over 95%. AI enables intelligent collaboration between different energy equipment systems, such as cooling stations and air compressors.
Combining big data with AI is a growing trend of big data applications.
HUAWEI CLOUD integrated emerging technologies such as edge computing and AI into this scalable and reliable solution to safeguard the perimeter of campuses. • Trends and Requirements As new technologies, such as cloud computing, edge computing, big data, IoT, and AI, become widely
Learn More ModelArts ModelArts is a one-stop AI development platform built by HUAWEI CLOUD. It provides out-of-the-box capabilities, helping users quickly develop and train AI models and deploy services.
DeepSeek-R1 is a high-performance AI inference model focused on mathematical, coding, and natural language inference tasks.
Contact Us Business Description •Applications of Personnel Trace Analysis In the field of campus video analysis, artificial intelligence (AI) applications are used to deliver intelligent, precise, and fast facial comparison.
The power of biometrics, AI, and the latest technologies assists you to simplify remote customer onboarding and authentication process cost-effectively.
The power of biometrics, AI, and the latest technologies assists you to simplify remote customer onboarding and authentication process cost-effectively.
resources Learn More Optical Character Recognition (OCR) Efficient telecom service handling Learn More DevCloud A cloud native development platform for telecom innovation Learn More Huawei Cloud Stack An intelligent cloud foundation for telecom, with evolvable on-premises gPaaS & AI
Learn More Enterprise Cloud Box Content management powered by AI and cloud computing for efficiency, security, and ease of use Learn More Customize a Website Looking for a customized website with robust functions? Our experts will support you through a 1-on-1 session.
Linewell Software Group Founded in 2002, Linewell is dedicated to data + AI government services built on large models, data elements, and innovation systems. It aims to enhance digital government management and operations by streamlining services, governance, and office work.
Customer benefits: Big data and AI technologies enable automatic allocation of service tickets in seconds, significantly cutting labor costs.
EnginePlus About EnginePlus About EnginePlus EnginePlus, is a new generation of cloud-native big data AI platforms that can create a one-stop closed loop for data input, processing, model training, and online inference by integrating big data with cloud computing and artificial intelligence
Shared Digital Platforms Shared Digital Platforms Government departments at all levels are supposed to share unified platforms for video sharing, converged communications, spatiotemporal information, and AI, instead of reinventing the wheel themselves.
LLM for Quick Decision-Making Leverage AI and machine learning, along with pre-defined file classification and data rules, for access to internal knowledge anytime, anywhere.
AI-Powered Full-Stack Solution HUAWEI CLOUD provides a full-stack solution that includes the AI development platform, AI chips, and functional APIs, meeting diverse AI algorithm requirements.
Offer on-demand resources with resource decoupling and flexibly scaling, greatly reducing the cost of computing cluster resources required for traditional big data analysis and AI model training. This allows customers to focus on service innovation.
