Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
A European media group operating across five countries publishes over 30 independent news brands, managing a vast archive containing millions of historical articles.
Journalists struggled to efficiently access historical context, with background research for a single story taking up to 30 minutes. This latency...
“Our methods for accessing our archives clearly could be more efficient: Researching and finding background information for a story could take up to 30 minutes. When you're reporting news continuously, this situation is no longer tenable.”
European media group publishing newspapers, magazines, and digital news brands.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Helped Mediahuis implement AI solutions like NewsSearch using Google Cloud and Gemini models.
Related implementations across industries and use cases
Readers hit dead ends with rigid search. Conversational AI now connects topics, boosting monthly searches from 30k to 500k.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Proprietary APIs offered zero control. Moving to managed open models secured 2-second answers and fixed pricing for news search.
Readers hit dead ends with rigid search. Conversational AI now connects topics, boosting monthly searches from 30k to 500k.
Analysts lost 3 hours daily to manual tagging. AI now summarizes and scores 10,000 articles in 15 minutes.
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.
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
A European media group operating across five countries publishes over 30 independent news brands, managing a vast archive containing millions of historical articles.
Journalists struggled to efficiently access historical context, with background research for a single story taking up to 30 minutes. This latency...
“Our methods for accessing our archives clearly could be more efficient: Researching and finding background information for a story could take up to 30 minutes. When you're reporting news continuously, this situation is no longer tenable.”
European media group publishing newspapers, magazines, and digital news brands.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Helped Mediahuis implement AI solutions like NewsSearch using Google Cloud and Gemini models.
Related implementations across industries and use cases
Readers hit dead ends with rigid search. Conversational AI now connects topics, boosting monthly searches from 30k to 500k.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Proprietary APIs offered zero control. Moving to managed open models secured 2-second answers and fixed pricing for news search.
Readers hit dead ends with rigid search. Conversational AI now connects topics, boosting monthly searches from 30k to 500k.
Analysts lost 3 hours daily to manual tagging. AI now summarizes and scores 10,000 articles in 15 minutes.
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.