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At the Yunqi Conference, Alibaba's enterprise service brand Lingyang made a major announcement with the launch of Lingyang AgentOne - an enterprise-level AI intelligent agent platform. The company declared its commitment to driving enterprises from passive response to proactive intelligence transformation, helping them become "super companies" in the AI era.
Three Core Capabilities Build a New AI Engine for Enterprises
As an enterprise-level AI intelligent agent platform, AgentOne focuses on core scenarios such as "data-intensive, capital-intensive, and labor-intensive," and has already "gone live" with over 20 enterprise-level Agents that companies can use independently.
The platform has built an AI training ground that integrates the company's own data, models, and platform capabilities. For example, e-commerce brands can use Agents such as e-commerce customer service and new product innovation to deeply integrate Alibaba ecosystem capabilities like Dianxiaomi, TMIC (Tmall New Product Innovation Center), and Tmall Home Decoration, thus driving business growth through intelligent means.
In addition, for different industry and enterprise needs for intelligent agents, Lingyang AgentOne will collaborate with third-party ecosystems to launch more specialized Agents, building an open and win-win intelligent agent ecosystem.
Enterprise-Level Agents Become the Standard for Future Organizations
Peng Xinyu, CEO of Alibaba Cloud Intelligent Group Lingyang, stated that enterprise-level agents will become the standard configuration for future organizations. He proposed the core formula "Enterprise-Level Agent = Large Model × Good Data × Strong Scenarios," emphasizing that "large models don't need to be the best, but only the most suitable; data should shift from serving people to serving AI; and scenarios must focus on the 'three strong' scenarios with the highest intensity of labor, capital, and data."
Overcoming Three Challenges of AI Implementation
A recent survey conducted by Lingyang in collaboration with the Alibaba Cloud Research Institute found that among 500 managers and 1,500 AI-related professionals, enterprises generally face three challenges in implementing AI: technology, data, and organization.