The work approaches the archive not as the chronological record of a company, but as a record of its shifting forms of contact with society and culture over the years. Visual, textual, and auditory data from Garanti BBVA's 80-year archive were processed through artificial intelligence-based analytical methods, then transformed into a multilayered memory environment.
Thousands of archival materials were reclassified through semantic relationships, textual content, color, composition, and motion data, and reconstructed as a semantic map — forming the basis of a spatial experience structured across four screen surfaces around the concepts of memory, analysis, narrative, contact, and transformation.
The AI-driven installation offers a sensory experience interweaving data visualization, motion graphics, and spatial sound design. The work explores ways of perceiving archival data and engaging with it in new forms.
The work approaches the archive not as the chronological record of a company, but as a record of its shifting forms of contact with society and culture over the years.
The work approaches the archive not as the chronological record of a company, but as a record of its shifting forms of contact with society and culture over the years.
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This map forms the basis of a spatial experience structured across four screen surfaces around the concepts of memory, analysis, narrative, contact, and transformation.
This map forms the basis of a spatial experience structured across four screen surfaces around the concepts of memory, analysis, narrative, contact, and transformation.