从Data到Agent：华为云AI-Ready数据基础设施全链路能力亮相数博会
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TL;DR - Huawei Cloud unveiled an AI-ready data infrastructure stack that connects hybrid-cloud data management, multimodal data delivery, enterprise data agents, and trusted data exchange. It aims to turn fragmented enterprise data into governed inputs for model training, agent inference, and automated decision-making.
- Huawei Cloud Stack provides lifecycle capabilities spanning reliable data management, efficient provisioning, intelligent use, and trusted circulation across clouds, data centers, and production environments.
- AI DataLake targets faster, higher-quality multimodal data supply for model training and agent inference, while DataArts integrates IT, operational, engineering, and enterprise-knowledge data with more than 40 processing operators.
- Privacy computing, APIs, sandboxes, and blockchain support auditable, controlled cross-organization data exchange, with deployments cited in municipal, manufacturing, transportation, and utility projects.
- The architecture creates a feedback loop in which business interactions generate new enterprise data that can further improve models and agents.
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从Data到Agent：华为云AI-Ready数据基础设施全链路能力亮相数博会
Public signals
N/A
TL;DR - Huawei Cloud unveiled an AI-ready data infrastructure stack that connects hybrid-cloud data management, multimodal data delivery, enterprise data agents, and trusted data exchange. It aims to turn fragmented enterprise data into governed inputs for model training, agent inference, and automated decision-making.
- Huawei Cloud Stack provides lifecycle capabilities spanning reliable data management, efficient provisioning, intelligent use, and trusted circulation across clouds, data centers, and production environments.
- AI DataLake targets faster, higher-quality multimodal data supply for model training and agent inference, while DataArts integrates IT, operational, engineering, and enterprise-knowledge data with more than 40 processing operators.
- Privacy computing, APIs, sandboxes, and blockchain support auditable, controlled cross-organization data exchange, with deployments cited in municipal, manufacturing, transportation, and utility projects.
- The architecture creates a feedback loop in which business interactions generate new enterprise data that can further improve models and agents.