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Home Machine Learning

The Case In opposition to Centralized Medallion Structure | by Bernd Wessely | Dec, 2024

Admin by Admin
December 9, 2024
in Machine Learning
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Good Structure Deletes the Indicators Your Agent Relies upon On

Retrieval vs. Reminiscence in Agentic AI System


I’ve seen too many articles praising the medallion structure because the go-to resolution for enterprise knowledge high quality. At first sight, the structured, three-layered method seems like a no brainer — manage your knowledge into neat bronze, silver, and gold layers, and you’ve got established an ideal knowledge high quality enhancement.

However on nearer inspection, my aversion to this architectural method grows ever better. Certain, it guarantees constant, scalable, and centralized data high quality enchancment. In follow, nonetheless, high quality issues are continually rectified too late and rigidly with the identical instrument, whatever the context.

Enterprises are complicated adaptive programs with wildly completely different knowledge sources, every with distinctive challenges concerning its data high quality. Why impose the identical inflexible course of on all of them? Forcing all of them into the identical centralized high quality framework will result in inefficiencies and pointless overhead.

I wish to problem the medallion structure because the supposed greatest reply to enterprise knowledge high quality issues. I’ll make the case for a extra tailor-made, decentralized method — one impressed by Complete High quality Administration (TQM) and aligned with…

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