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The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.
β’5 min readβ’
#deployment#agenticworkflows#compute
Level:Intermediate
For:Data Engineers, AI Architects, Cloud Computing Professionals
β¦TL;DR
Google has introduced a rebuilt data stack designed for AI agents to take autonomous actions, marking a significant shift from traditional enterprise data stacks that were built for humans to run scheduled queries. This new architecture is intended to support the increasing use of AI agents that act on behalf of businesses around the clock, addressing the limitations of existing data stacks.
β‘ Key Takeaways
- Traditional enterprise data stacks are becoming outdated as AI agents take on more autonomous roles.
- Google's new data stack is designed to support AI agents in taking actions, rather than just answering human queries.
- The rebuilt data stack aims to address the breakdown of existing architectures as AI agents increasingly operate around the clock.
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