AI and the post-modern, modern data stack

of AI-powered applications and agentic AI is dramatically redefining the demands placed on data stacks. Rather than becoming irrelevant, the modern data stack is a major consideration as organisations attempt to embrace AI to increase decision velocity.

Organisations must think carefully about how their data stacks are structured so that their AI agents can operate effectively and deliver accurate, insightful information as quickly as possible.

First, it’s important to qualify what we mean by the data stack. At its core, it is (according to IBM): “…integrated, cloud-based tools and technologies that enable the collection, ingestion, storage, cleaning, transformation, analysis and governance of data.”

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