Snowflake AI agents

# Scope and Value: Lang.ai's Snowflake AI Agents empower data teams to create custom agents that derive actionable priorities from customer interactions, driving retention and growth. Our solution seamlessly integrates with your Snowflake data, enabling data teams to build and deploy AI-powered analytics tools for business teams without the need for complex setup or AI expertise. # Setup and Workflow: 1. Create a Snowflake view combining relevant data (e.g., for a retention AI agent it could be canceled customers, plan details, cancellation dates, support interactions, and surveys). 2. Select and configure an AI agent for your specific use case (e.g., retention analysis). 3. The agent automatically analyzes the data weekly, identifying patterns and insights. 4. Receive weekly actionable priorities that are most impactful for your business outcome (e.g., retention) via Slack or our web UI. # Data Sources: The custom AI agents can analyze data from any customer touchpoint available in your Snowflake instance. By creating appropriate views, you can include data such as: - Customer support tickets and chat logs - NPS and other survey responses - Product usage logs - Transaction and billing data - Website and app interaction data - Any other relevant customer data stored in Snowflake

搜集汇总

背景与挑战

背景概述

Snowflake AI agents是一个帮助数据团队创建自定义AI代理的工具，能够从客户交互数据中自动分析并提取可执行的业务优先级。该工具直接集成Snowflake数据源，支持分析包括客户支持记录、调查反馈、产品使用日志等多渠道客户数据，无需复杂设置即可生成业务洞察。