Flying blind across AI pipelines—no view of cost or accuracy. Observability cut compute costs 87.5% and root cause from 30 hours to minutes.
Singapore's national media network, engaging 99 percent of the population weekly, manages a catalog of approximately 5 to 6 million images, 150,000 hours of video, and 16,000 hours of audio, with volumes growing every month.
As Mediacorp scaled AI across its metadata enrichment pipelines, it had no integrated view of whether models were producing accurate results or...
“Using Amazon CloudWatch, we can observe which model works better and then make informed decisions based on the data we actually see.”
National media network and public broadcaster of Singapore.
Helped Mediacorp implement Amazon CloudWatch observability for its generative AI workloads.
Cloud computing platform and on-demand infrastructure services.
Mediacorp's AI pipeline monitoring is part of this use case:
Related implementations across industries and use cases
Agents looked healthy — 200s, no errors — while decisions quietly deteriorated. Unified tracing across every layer now surfaces the why.
Vague feedback on unrecorded streams slowed fixes. AI now diagnoses live issues instantly, lifting user satisfaction 30%.
Traditional fantasy productions lock up hundreds of staff for two years. Ninety people delivered 30 episodes in 4 months—while it broadcast.
Agents looked healthy — 200s, no errors — while decisions quietly deteriorated. Unified tracing across every layer now surfaces the why.
Scattered monitoring across 125+ AI models slowed debugging. Unified telemetry lets teams trace issues from user sessions down to the GPU.
HR spent days manually exporting data for multi-currency calculations. Now, they query AI for instant answers without running reports.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
Up to an hour per alert, dozens daily—manual triage had hit a wall. AI personas now debate each in minutes; humans authorize the response.
Flying blind across AI pipelines—no view of cost or accuracy. Observability cut compute costs 87.5% and root cause from 30 hours to minutes.
Singapore's national media network, engaging 99 percent of the population weekly, manages a catalog of approximately 5 to 6 million images, 150,000 hours of video, and 16,000 hours of audio, with volumes growing every month.
As Mediacorp scaled AI across its metadata enrichment pipelines, it had no integrated view of whether models were producing accurate results or...
“Using Amazon CloudWatch, we can observe which model works better and then make informed decisions based on the data we actually see.”
National media network and public broadcaster of Singapore.
Helped Mediacorp implement Amazon CloudWatch observability for its generative AI workloads.
Cloud computing platform and on-demand infrastructure services.
Mediacorp's AI pipeline monitoring is part of this use case:
Related implementations across industries and use cases
Agents looked healthy — 200s, no errors — while decisions quietly deteriorated. Unified tracing across every layer now surfaces the why.
Vague feedback on unrecorded streams slowed fixes. AI now diagnoses live issues instantly, lifting user satisfaction 30%.
Traditional fantasy productions lock up hundreds of staff for two years. Ninety people delivered 30 episodes in 4 months—while it broadcast.
Agents looked healthy — 200s, no errors — while decisions quietly deteriorated. Unified tracing across every layer now surfaces the why.
Scattered monitoring across 125+ AI models slowed debugging. Unified telemetry lets teams trace issues from user sessions down to the GPU.
HR spent days manually exporting data for multi-currency calculations. Now, they query AI for instant answers without running reports.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
Up to an hour per alert, dozens daily—manual triage had hit a wall. AI personas now debate each in minutes; humans authorize the response.