Aquabyte transformed the €275 billion aquaculture industry by deploying underwater AI cameras to solve critical challenges like fish mortality (54M deaths annually in Norway) and 70% feed waste. Their platform provides real-time monitoring of fish weight, sea lice, welfare, and behavior—replacing manual inspections with automated precision.
This case study highlights 5 Key Success Factors for AI Transformation: 1) Start with Real Pain Points 2) Make AI Transparent 3) Think Integration 4) Focus on User Experience 5) Build Partnerships

Retrieval-Augmented Generation (RAG) represents a paradigm shift in enterprise artificial intelligence, combining the generative capabilities of large language models with real-time information retrieval systems. RAG extends AI’s capabilities by referencing an authoritative knowledge base outside of its training data sources before generating a response. This approach addresses critical limitations of traditional AI systems, including outdated information, lack of domain specificity, and inability to access proprietary enterprise data.