Data Needs Some Help to Get the Most From AI Inference Presented by CTERA
Tech Field Day, Wednesday, July 29th, 2026
CTERA discusses preparing unstructured corporate data for AI agents through tagging and automated extraction.
Unstructured corporate data requires preparation to be ready for AI agents and inference. CTERA's approach involves discovering data where it resides in file shares and object stores while preserving permissions.
The solution uses automated tagging, text extraction, audio and video transcription, and summarization to prepare data. CTERA advocates storing derived data alongside original files in the file system rather than in proprietary platforms, enabling reusability for AI applications.