Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
A national public broadcaster managing 90 years of history across millions of audio and video records, ranging from vintage newscasts to raw documentary footage.
Legacy transcripts often contained vague descriptions like "cricket game," forcing journalists to spend hours scrubbing through footage to find...
“This work strengthens one of the ABC’s greatest assets, our archive, by making its depth instantly accessible to our journalists. By generating rich, consistent metadata at scale, we’ve opened up decades of footage in a way that supports faster discovery, sharper storytelling, and better use of this valued national resource.”
National public broadcaster for news, television, radio, and digital media.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
Analysts lost 3 hours daily to manual tagging. AI now summarizes and scores 10,000 articles in 15 minutes.
Pitch prep took days of manual searching. AI retrieves clips from 10M assets in <300ms, cutting proposal timelines from 7 days to 2.
Vague feedback on unrecorded streams slowed fixes. AI now diagnoses live issues instantly, lifting user satisfaction 30%.
Shoppers searching unavailable brands hit dead ends. AI now surfaces relevant alternatives, cutting null results from 5% to near zero.
Teams manually reviewed tens of thousands of creatives image-by-image. Now, AI vision models verify policy compliance instantly.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
A national public broadcaster managing 90 years of history across millions of audio and video records, ranging from vintage newscasts to raw documentary footage.
Legacy transcripts often contained vague descriptions like "cricket game," forcing journalists to spend hours scrubbing through footage to find...
“This work strengthens one of the ABC’s greatest assets, our archive, by making its depth instantly accessible to our journalists. By generating rich, consistent metadata at scale, we’ve opened up decades of footage in a way that supports faster discovery, sharper storytelling, and better use of this valued national resource.”
National public broadcaster for news, television, radio, and digital media.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
Analysts lost 3 hours daily to manual tagging. AI now summarizes and scores 10,000 articles in 15 minutes.
Pitch prep took days of manual searching. AI retrieves clips from 10M assets in <300ms, cutting proposal timelines from 7 days to 2.
Vague feedback on unrecorded streams slowed fixes. AI now diagnoses live issues instantly, lifting user satisfaction 30%.
Shoppers searching unavailable brands hit dead ends. AI now surfaces relevant alternatives, cutting null results from 5% to near zero.
Teams manually reviewed tens of thousands of creatives image-by-image. Now, AI vision models verify policy compliance instantly.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.