Connecting AI Agents
with External Data:
5 Key Use Cases
The case for incorporating external data into your data environment is clear. By tapping into third-party data sources — everything from research reports and breaking news to geospatial data and weather forecasts — AI agents get the context they need to deliver deeper, more complete responses and recommendations.
However, gathering and connecting external data sources with agents often involves a lot of time-consuming work by data engineering teams. Snowflake streamlines this process with Cortex Knowledge Extensions, which offer quick access to high-quality data from trusted providers and publishers that is already prepared for AI and ready to use.
In this ebook, you’ll learn:
- Why external data is critical to enterprise AI success
- Where current external data approaches fall short
- How Snowflake streamlines external data enrichment for AI
- Top use cases showing how companies can use Snowflake Cortex Knowledge Extensions to unlock higher-quality AI-driven insights
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