Case Study

Real-Time CMS Translation Integration Delivering 150+ Daily Translations for a Newspaper Publishing Organization

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Industry 

Newspaper Publishing

Expertise 

Amazon Bedrock, AWS Lambda, AWS IAM, Amazon CloudWatch, Amazon API Gateway, AWS CloudTrail

Offerings/solutions 

Real-time GenAI translation with enhanced efficiency and production-grade security

About the Client

The client is a flagship regional publication owned by Tiding Media & Communications Pvt. Ltd., headquartered in Kolkata. Known for its strong regional journalism, the client has built deep trust among Bengali-speaking audiences and now aims to evolve into a national multilingual news platform.

Highlights

Under 30 seconds per article

Reduced Translation Time

99%

Speed Optimization

80%

Improved Editorial Efficiency

The Challenge

Following the successful PoC and Phase-1 implementation, the client needed to transition to a production-grade model suitable for real editorial workflows. While Phase-1 automated scheduled ingestion and batch translation, it lacked real-time translation and direct CMS integration. Translation remained operationally disconnected from the publishing system, requiring manual steps to move translated output into production articles. This resulted in inefficiencies, delays, and limited ability to support breaking news or high-velocity publishing cycles. The absence of API-based translation triggers, along with limited observability and access control, made it challenging to operationalize GenAI translation as a reliable production capability.

Solutions

• Created secure REST API via Amazon API Gateway for real-time translation requests.
• Implemented AWS Lambda engine to analyze metadata, construct domain prompts, and invoke Bedrock Claude Sonnet 4.
• Returned structured JSON output for direct CMS publishing without reformatting.
• Configured Amazon CloudWatch monitoring with logs, metrics, and operational dashboards.
• Secured access using API Keys, AWS IAM controls, and AWS CloudTrail auditing.
• Utilized serverless auto-scaling architecture to support variable publishing loads.
• Integrated API into editorial workflow for instant multilingual publishing.

The Results

Achieved sub-30 second translation, 80% editorial efficiency improvement, 150+ daily capacity, 99% structure retention, and production-grade security through real-time GenAI CMS integration.

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