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Cloud & Infrastructure
Google Cloud Blog·Jun 15·5 min read
What’s new in data agents: Supercharging your AI workflows
TL;DR
Traditional AI platforms struggle with accessing enterprise data context, leading to inaccuracies and security issues. Google’s Agentic Data Cloud introduces new data agents and tools, enhancing automation and intelligence for various roles.
✦ Why It Matters
Engineers can leverage new data agents to enhance AI workflows and improve data-driven decision-making.
Key Takeaways
- Utilize Conversational Analytics for natural language data queries.
- Implement the Data Engineering Agent to automate data pipeline tasks.
- Leverage the Database Observability Agent for proactive performance monitoring.
- Explore the new tools in Google Cloud to enhance your AI workflows.
How It Works
Google Cloud's Agentic Data Cloud integrates AI across its data stack, allowing agents to access real-time enterprise data. This integration enables agents to perform tasks like root-cause analysis and automate actions based on data insights, significantly improving accuracy and efficiency.