

Google Cloud and AI Agents Impact on Databases
10 snips Aug 28, 2025
Yasmeen Ahmad, Managing Director of Data Cloud at Google, dives into the revolutionary impact AI agents have on the database market. She discusses how databases are evolving from passive systems to active, reasoning tools that enhance AI capabilities. Ahmad highlights the shift from traditional data management towards multimodal systems. She emphasizes the importance of Google’s infrastructure in optimizing costs and ROI concerns, and shares insights on how various industries are effectively integrating Generative AI technology.
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Databases Become Reasoning Engines
- Databases are evolving from passive stores into active reasoning engines that ground AI agents.
- They act as memory backends, synthesize insights, and proactively surface actions for agents.
Bring AI To Where Data Lives
- Bring AI to the data to avoid copying and reduce cost and latency by 8–16x and 4x respectively.
- Optimize agent workflows with compression, caching, and model rerouting to lower inference costs.
Optus Network Agents Example
- Optus deploys network agents that analyze traffic in real time and open ServiceNow tickets for predicted issues.
- The agents perform root-cause analysis and proactively alert engineers weeks before problems manifest.