🤖 AI is Rewriting Data Modeling and Architecture

The source, an article titled "The Silent Revolution - A Spotlight on Data Modelling" from datapro.news, investigates how Artificial Intelligence (AI) is profoundly transforming data engineering and architecture. The text explains that AI is making the traditional three-tier data modelling approach—conceptual, logical, and physical—obsolete through hyper-automation, significantly compressing project timelines, such as reducing the conceptual modelling phase from weeks to hours via the "Text-to-Schema paradigm." The article highlights a new structural change called "logical model bifurcation," requiring architects to design two parallel logical blueprints: a business-facing Semantic Layer and a specialised Logical Feature Model for machine learning workloads. Furthermore, the source details that AI-driven optimisation is now directly tied to cloud cost management in consumption-based environments, making cost governance a primary architectural concern, and concludes that professional roles are shifting from manual designers to orchestrators and governors of complex AI systems.

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