FIAT/IFTA World Conference 2026

This presentation reflects on how a practical archival task inside a Uruguayan television broadcaster evolved, over sixteen years, into a knowledge-driven system for managing, contextualising and reusing audiovisual memory.
The project began in 2010, when I was assigned the recovery of a historical television archive using only handwritten paper notebooks as the primary access tool. At the same time, much of the collection still existed on ageing analogue and early digital videotape formats (1-Inch Tape, U-Matic). To make the material accessible, I had to learn through experimentation how to clean, restore and digitise playback machines that were already several decades old.
Coming from a generation that experienced both analogue video culture and the first stages of digital editing, I combined broadcast operational knowledge with self-taught experimentation. Early attempts using Word documents and spreadsheets quickly proved insufficient for the speed and precision required in daily television production. This operational pressure led me to begin learning programming and databases in order to recreate the logic of the paper workflow in digital form: locating content quickly, identifying the correct tape, and later the precise timecode inside the material, find actors etc.
As newsroom demands increased, the system evolved continuously through real-world use, driven by requests from colleagues who relied on rapid access to historical footage. Even after the archive department was closed in 2020, the project continued independently, incorporating long-term preservation logic, production workflows, contextual metadata, artificial intelligence support and large-scale efficiency testing using a personal dataset of more than one million media assets collected over years of archival practice.
This case study explores how necessity, situated learning and broadcast reality can generate technological innovation from within archival work itself.
That's my story.