Involving domain experts early in AI initiatives enhances the AI's efficiency, adoption, and competitive advantage by incorporating industry-specific nuances. This guide offers a structured approach to embedding domain expertise into AI, focusing on the importance of curated data, domain-informed training, intelligent user design, and continuous improvement. Using supply chain optimization as an example, it illustrates practical tips for starting small, refining data annotation, generating synthetic data, and designing user-friendly interfaces to ensure AI systems are both effective and trustworthy.
Table of contents
Injecting domain expertise into your AI system1. Data: The bedrock of expertise-driven AIData source selection: Start small, expand strategicallyData annotationSynthetic data: Preparing AI for rare but critical eventsIntelligence: Making AI systems smarterDesigning ergonomic user experiencesConclusion1 Comment
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