Expired50% confidenceFactTime unknown
Enterprise AI Agents may simultaneously access multiple data sources such as CRM systems, data warehouses, and external APIs.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Andrew Ng's New Course: A Practical Guide to Data Governance for Enterprise AI Agents
bilibili吴恩达大模型
Related Claims
Unverified插件指AI模型对接外部工具和数据源的能力扩展,使AI助手可以访问实时数据、调用第三方服务、连接企业内部系统73% similarUnverifiedEnterprise self-developed AI Agents have the advantages of keeping data within the internal network, highly controllable functionality, and fine-grained permission management.70% similarUnverifiedThe core technology stack of this workflow includes Feishu Multidimensional Tables (data hub), multiple AI Agents (execution units), and API automation (publishing endpoints).70% similarUnverifiedThe operation of AI Agents relies on large language model APIs, vector databases, tool-calling interfaces, third-party SDKs, and various rapidly iterating frameworks, resulting in an extremely long execution chain69% similarUnverifiedMost SaaS services are essentially 'database CRUD + business logic', which AI Agents can handle with significant cost advantages69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/49695API
curl https://kongchang.com/api/v1/knowledge/claims/49695MCP
get_claim(id=49695)