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Comment by dragostudor

My thoughts exactly. Knowledge transfer in manufacturing / industrial environments is something that I'm working on.

- Language models / NLP applications for processing large amount of technical text data (SOP, documentation, technical data, machine text logs, voice to text, video data processing for speeding up corrective action, training, onboarding and highlighting areas of improvement / bottlenecks), digitising documents and extracting failure reasons / equipment names / spare parts / processes involved and making associations between them for pareto analysis, better search or process improvement recommendations

- Recommending the next steps to fix something / remote intervention / do something etc. Lowering the expertise threshold required for technicians, electricians, mechanics or reliability engineers to be effective.

- Enabling operators to become data scientists by enabling to train AI models via their day to day activities / analysis. Building better UX in general and providing simple tools that even a toddler could use.

- Autonomous factory use-cases / supply chain automation.

Would love to discuss with people who find these things exciting

parent dragostudor 4 years ago

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