What’s new in data agents: Supercharging your AI workflows (opens in new tab)
The rise of AI agents is fundamentally disrupting applications and analytical systems. Generic AI platforms don't usually have access to the context stored within enterprise databases. This is because traditional data architectures often lack context for agents across the data estate, which can lead to agents being inaccurate. They’re also prone to security gaps due to a lack of granular access controls. Google’s Agentic Data Cloud is an AI-native system of action that includes both operation...
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