Transforming dormant archives into specialized AI assets is the key to enterprise survival.
Companies are shifting from SaaS consumption to becoming providers of high-fidelity domain-specific training data.
The transition requires upgrading standard databases into high-throughput, vectorized pipelines for model fine-tuning.
Enterprise data is often messy, requiring rigorous cleaning to avoid garbage outputs in vertical models.
As foundation models become commodities, differentiation now lies in the last mile of domain expertise.
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