I came across this article from Piethein Strengholt a few weeks ago, and have since brought this article up in multiple conversations. It’s such a simple yet powerful way to visualize the deep architectural underpinnings required for Agentic AI adoption. Often, discussions on this topic get lost in abstractions — but this framing makes it accessible while still capturing the complexity behind it. Highly recommend giving it a read if you’re exploring how to design data and system foundations for the Agentic AI era. #dataarchitecture #openarchitecture #lakehouse #dataobservability #dataquality #agenticworkflow
Unstructured data often contains the most distinct and proprietary content that remains untapped within enterprises. When operationalized through Agentic AI workflows and Large Language Models (LLMs), this data becomes actionable, driving tangible business value. Yet, the challenge lies in managing the inherent complexity of unstructured data at scale. Piethein Strengholt highlights how the Medallion Architecture, traditionally focused on structured data, can be repurposed into a unified, layered framework designed to handle unstructured data effectively. He discusses how: ✅ Bronze, Silver, and Gold layers can be extended to ingest, validate, and contextualize unstructured data. ✅ LLMs and RAG patterns can transform raw documents into reliable, AI-ready inputs. ✅ Governance and new roles (context engineers, value engineers) will be essential to translate unstructured data into business value. Click on the link below to learn more https://lnkd.in/gwxcjgKR #UnstructuredData #MedallionArchitecture #DataQuality #AIready #Datatrust #DataArchitecture
