Success stories / Media & Broadcasting

Transforming a Television News Station Through AI and Unified Digital Infrastructure

CNBC Africa logo
Client
CNBC Africa
Industry
Media & Broadcasting
Timeline
12 months

01 // The challenge

The Challenge

CNBC Africa, A leading television news network sought to modernize its digital and operational backbone. The goal was to unify scattered data sources, leverage AI for intelligent content retrieval, streamline event management, and build a scalable, secure video ecosystem to power both broadcast and online experiences.

01Disconnected financial and crypto market data sources producing inconsistent quotes across platforms
02Siloed video, audio, and article archives with no intelligent search or reuse mechanism
03Outdated content and event management systems that relied heavily on manual processes
04Growing demand for scalable, secure video delivery optimized for global audiences

02 // Our approach

Our Approach

We implemented a full-stack, AI-enabled infrastructure built on AWS and advanced machine learning frameworks, transforming the company's digital capabilities from the ground up.

  • 01Consolidated live data from multiple third party APIs (Refinativ, CoinMarketCap, and others) into a single intelligent API
  • 02Built a smart quote retrieval system that dynamically selects the most reliable data source per ticker symbol
  • 03Developed a backend powered by Node.js, Express and Redis to update quotes, news wires and financial data
  • 04Developed vector embeddings for video, audio, and text content to enable deep semantic search across the company's archive
  • 05Integrated RAG pipelines that allow AI models to generate insights, summaries, and contextual recommendations
  • 06Built a video CMS on AWS S3 with CloudFront CDN for global delivery and signed URL security for access control
  • 07Automated ingestion, transcoding, metadata tagging, thumbnail generation, and publishing workflows
  • 08Created a fully integrated event management system that automates planning, registration, and marketing
  • 09AI models extract and populate key fields—such as agenda, speakers, bios, and session details—directly from planning documents
AWSNode.jsExpressRedisVector EmbeddingsRAGS3CloudFrontMachine Learning

03 // The results

The Results

  • 01Unified real-time financial data feeds across platforms, improving consistency and accuracy
  • 02Cut editorial research and production prep time dramatically through AI-assisted retrieval
  • 03Reduced infrastructure costs while improving video speed and reliability
  • 04Automated and modernized event management operations, saving hundreds of staff hours per event cycle
  • 05Created a future-ready foundation that integrates content, data, and events under one cohesive AI-driven ecosystem
80%
Reduction in prep time
Research Time
100%
Across all platforms
Data Consistency
Reduced
With better performance
Infrastructure Costs
100s hrs
Saved per cycle
Event Planning

From the client

The transformation was comprehensive and game-changing. We now have a unified, intelligent infrastructure that connects our data, content, and operations in ways we never thought possible. Our teams are more productive, and our audiences get better, faster content.

Roberta Naicker, Managing Director
CNBC Africa

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