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business4h ago
How Hearst Is Using Data And AI To Transform A 140-Year-Old Business
- Hearst is using a federated data model, embedding data and ML in businesses while maintaining corporate governance.
- The goal is to make data usable, trusted, and durable to drive scalable business outcomes.
- Hearst plans to surface trusted content at scale to power AI platforms and hyper-scalers.
- Data architecture is being modernized to be more composable, accessible, and AI-ready.
- Vectorization, embeddings, and knowledge graphs are core to Hearst’s data foundation.
- AI agents are used to offload repetitive analytical tasks and enable rapid experimentation.
- Hearst measures value by adoption, business outcomes, and durability of assets.
- The data strategy supports Hearst’s entire product lifecycle from subscriber engagement to ad inventory.
- Hearst’s leadership views data and AI as core, not side initiatives for the business.
- Hearst aims for a scalable data program that supports multiple use cases across the organization.
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