To unlock the full value of AI in heavy industry, companies must shift from collecting big data to creating “smart data” enriched by domain expertise. This approach boosts model reliability, root-cause analysis, and scalability. Success depends on integrating process knowledge, reducing data complexity, and fostering agile, cross-functional teams. With proper implementation, companies can achieve significant operational improvements, including throughput gains and efficiency boosts. Upskilling process experts and aligning workflows across data science and operations are essential for sustainable impact and long-term digital transformation.

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