
Cliente: Snowflake Computing GmbH
Formato: Documento técnico
Tamanho: 6 MB
Língua: Inglês
Data: 17.11.2025
A PRACTICAL GUIDE TO AGENTIC AI FOR CUSTOMER EXPERIENCE: Key concepts and use cases to optimize CX and drive marketing ROI
Imagine a world where intelligent systems seamlessly enhance every touchpoint customers have with a brand — that’s the power of AI agents to revolutionize customer experience. AI agents are like computer programs that can perform tasks independently using artificial intelligence. They can significantly boost business productivity by handling complex, multi-step operations quickly. To work effectively, these agents need access to an organization’s data, which can be both structured data — patient records at hospitals or transaction details at a department store, for example — and unstructured data, like video files or social media posts.
The potential for AI agents is massive, but the quality of work depends heavily on the data they uses and how accurately it can find the right information. Organizations often struggle with this because how AI understands data doesn’t always match how the data is stored.
The potential for AI agents is massive, but the quality of work depends heavily on the data they uses and how accurately it can find the right information. Organizations often struggle with this because how AI understands data doesn’t always match how the data is stored.