Will AI Agents Revolutionize How We Query and Use Data?
Snowflake just announced AI Data Agents in Cortex, a new way to automate and streamline data workflows with AI. Instead of just querying data or calling APIs, these agents can dynamically decide which tool to use—whether it's SQL, LLMs, or external APIs—depending on the task at hand.
This feels like a shift from traditional “query-driven” workflows to “goal-driven” automation, where agents choose the best approach rather than relying on static logic.
I’m particularly excited about building agents that select the right tool for the right job—instead of forcing everything into SQL, Python, or one ML model.
What do you think? Will AI-powered agents change how we interact with data? Or will traditional query-based approaches remain dominant?
This feels like a shift from traditional “query-driven” workflows to “goal-driven” automation, where agents choose the best approach rather than relying on static logic.
I’m particularly excited about building agents that select the right tool for the right job—instead of forcing everything into SQL, Python, or one ML model.
What do you think? Will AI-powered agents change how we interact with data? Or will traditional query-based approaches remain dominant?
https://www.snowflake.com/en/blog/ai-data-agents-snowflake-cortex/