Organizations face challenges analyzing unstructured data, which constitutes a significant portion of their stored data. Traditional methods struggle with unstructured data, requiring manual effort and limiting scalability. Google Cloud introduces "smart storage" features, specifically auto annotate and object contexts, to address these issues. Auto annotate automatically generates metadata for objects, enhancing data discovery and curation. Object contexts allow attaching custom metadata to objects, enriching them with actionable information. These features transform passive data into active assets, enabling applications like improved data discovery and model training. Businesses can leverage auto annotate to find specific images or information within vast datasets. The technology facilitates data curation by automating the identification of attributes for balanced datasets, reducing bias. Furthermore, these features aid in governing unstructured data by identifying sensitive information and triggering automated actions. These new features facilitate a more efficient and manageable data environment, promoting innovation. Users can employ these features to unlock the full potential of their data. The integration of auto annotate and object contexts simplifies data analysis and management.