Mantel's AI Factory drives rapid AI adoption in Australian media company
Key takeaways
- Successfully moved AI pilots into full-scale production, establishing a clear path for lasting business value
- Increased digital engagement and audience growth by using AI-generated insights to improve advertising strategies
- Solved critical data quality issues through assessment, cleansing, and automation of data pipelines
- Demonstrated the real value of models in production and their impact on customers, unlocking further investment.
Key services
- Use case identification and prioritisation
- Pilot development
- Data foundation
- Production development
- AI factory framework
One of Australia’s most prominent media companies, a key producer of Australian news, sport and entertainment content, reaching over 19 million people monthly across broadcast television, publishing, and digital. It owns and operates market-leading platforms, including a free-to-air network, digital streaming service, and major newspaper titles. The company is a key producer of Australian news, sport, and entertainment content.
The challenge: Accelerating AI adoption and revenue growth
Our client needed to grow ad revenue by increasing digital engagement, audience growth, and the use of AI-generated insights to improve advertising strategies. The organisation also faced further challenges around accelerating AI initiatives, bridging the gap between AI concepts and tangible business outcomes, and building a clear pathway to move AI pilots into full-scale production and deliver lasting business value.
Implementing a structured AI Factory for media insights
Mantel partnered with our client to deploy an AI Factory, structured around five core components to enable rapid AI adoption:
- Use Case Identification and Prioritisation: Targeting high-value, feasible projects to kickstart the process.
- Pilot Development: Rapidly building and showcasing Proofs of Concept (PoCs) in two-week, cross-functional sprints.
- Data Foundation: Establishing a robust data environment through quality assessments and automated pipelines.
- Production Development: Deploying solutions that leverage the Data Foundation, such as Genie for interactive data exploration, Daily Forecast Prediction for viewing minutes, and Lapsed Audience for proactive engagement.
- AI Factory Framework: Governing the entire initiative, ensuring iterative development, a fail fast strategy, and clear executive reporting.
Our solution delivered outstanding results
The partnership between Mantel and our client successfully helped address the challenges our client faced. Boosted digital engagement resulted in increased ad revenue, audience growth, and optimised advertising strategies, powered by AI.
Additionally, to accelerate AI initiatives, the organisation focused on resolving data quality issues, which involved assessment, cleansing, and pipeline automation, all aimed at bridging the gap between theoretical AI concepts and measurable business outcomes. This effort also established a clear pathway for moving AI pilots into full-scale production, ensuring the delivery of lasting business value.
