Prashanth ThipparthiDigital Transformation Leader
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Longer-form notes on AI, digitalisation, and building products for complex domains.

AIEngineeringData Quality2025-01-15

Why AI in Engineering Must Start With Data Quality

Everyone wants AI to "predict" and "optimise". But in most engineering environments, the real battle is much more basic: getting clean, complete, and consistent data.

ProductAI UXEnterprise2025-01-20

Designing AI Products for Non-Technical Users

The best AI products don't shout "AI" on the screen. They quietly remove steps, reduce stress, and help people feel more confident in their work.

RAGAIKnowledge2025-01-27

RAG for Industrial Domains – More Than Just a Vector Database

Retrieval-Augmented Generation is powerful, but in heavy domains like engineering, the design of your documents, schemas, and metadata matters as much as your embeddings.

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