A Modular ML Classification Solution for Global and Scalable Data Search and Discovery

Summary The abstract presents a scalable machine learning-based workflow designed to classify critical information from over 8 million unstructured technical reports. Guided by subject matter experts, this classifies documents, tables, and images, enabling semantic and contextual search through a high performance platform. This approach allows for continuous improvement while ensuring accuracy and traceability. The proposed workflow significantly reduces manual effort and speeds up decision-making in complex, data-rich environments.