tgroenwals shared this post · May 14

Every failed AI project looks the same - great model, broken system. Architecture is the silent reason 90% of AI investments never deliver.

And that is exactly where business leaders keep getting it wrong - chasing the latest model while ignoring the architecture that decides whether AI actually works in production.

Here is AI architecture explained for business leaders 👇

✅ The Core Layers of AI Architecture
↳ Data Layer — collection, storage, pipelines.
↳ Model Layer — training, inference, LLMs.
↳ Application Layer — APIs, workflows, agents.

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Sunjana Ramana I like that data is called the starting point, not an afterthought. Many transformation programs still reverse that order and struggle later. Apr 28 1 like

Rathnakumar Udayakumar The production versus demo comparison is excellent. Controlled inputs and clean data disappear quickly once customers and real operations enter the picture. Apr 28 1 like

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