Reporters spent hours manually identifying speakers. AI now recognizes 90+ MP faces and transcribes speeches for faster reporting.
A global news network based in Singapore reaching 150 million homes across Asia, Europe, and the US via digital, broadcast, and audio platforms.
Parliament sittings were long and arduous for reporters to cover manually, requiring significant time to identify speakers and transcribe speeches....
“We started experimenting with AI back in 2019—long before ChatGPT took the world by storm. Even then, we saw tremendous potential for AI to transform newsrooms. At that time, most editors saw AI as an assistive technology, something on the side to help them. I have a more aggressive view. First, AI capabilities are growing exponentially. Second, AI will fundamentally reshape how newsrooms operate—more so than the social media disruption two decades ago. Third, AI will become a foundational backbone technology.”
Multinational news organization covering Asian and global current affairs.
AI research and deployment company developing generative models and tools.
Channel NewsAsia (CNA)'s Newsroom operations is part of this use case:
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Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
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Reporters spent hours manually identifying speakers. AI now recognizes 90+ MP faces and transcribes speeches for faster reporting.
A global news network based in Singapore reaching 150 million homes across Asia, Europe, and the US via digital, broadcast, and audio platforms.
Parliament sittings were long and arduous for reporters to cover manually, requiring significant time to identify speakers and transcribe speeches....
“We started experimenting with AI back in 2019—long before ChatGPT took the world by storm. Even then, we saw tremendous potential for AI to transform newsrooms. At that time, most editors saw AI as an assistive technology, something on the side to help them. I have a more aggressive view. First, AI capabilities are growing exponentially. Second, AI will fundamentally reshape how newsrooms operate—more so than the social media disruption two decades ago. Third, AI will become a foundational backbone technology.”
Multinational news organization covering Asian and global current affairs.
AI research and deployment company developing generative models and tools.
Channel NewsAsia (CNA)'s Newsroom operations is part of this use case:
Related implementations across industries and use cases
Analysts lost 3 hours daily to manual tagging. AI now summarizes and scores 10,000 articles in 15 minutes.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Vague feedback on unrecorded streams slowed fixes. AI now diagnoses live issues instantly, lifting user satisfaction 30%.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Space static broke standard tools, requiring manual logs. Custom models now run a real-time check and make archives searchable.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.