A new paper on arXiv outlines a 2026 strategic framework for integrating machine learning into industrial value chains. It targets specific bottlenecks in big data management and heterogeneous sensing systems. Researchers emphasize the need for explainable AI to ensure reliability in high-stakes environments. This provides a technical benchmark for industrial automation practitioners.