🗂️ Tools, Platforms & Infrastructure · View mindmap

• “data”
  • “ai”
  • “unstructured-data”
  • “data-processing”
  • “natural-language-processing”
  • “computer-vision”
  • “data-transformation”
  • “embedding-models”
  • “retrieval-augmented-generation” aliases:
  • “non-structured-data” group: data-pipelines-sync-storage

Unstructured Data

Data lacking predefined structure or organization, such as text documents, emails, social media posts, images, and audio. Difficult to process with traditional database systems without AI/ML techniques.

Key Characteristics

• No fixed schema or format
• High volume and diversity
• Requires transformation for analysis (e.g., NLP, computer vision)

Processing Tools & Techniques

• Natural Language Processing: For text-based unstructured data.
• Computer Vision: For images and video.
• Image Decision Models: Advanced models enabling direct decision-making from visual inputs (forms, scans, screenshots) within automation workflows, reducing reliance on rigid step-by-step RPA logic. See Jev Image Decision Models for RPA: Direct Unstructured Data Decisions for details on applying these models to automate complex visual tasks.

References

• Sam Witteveen. “Image Decision Models for RPA: Forms, Scans and Screenshots”. Jev Image Decision Models for RPA: Direct Unstructured Data Decisions.