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6 articles on ai-strategy.
Your AI Agents Need a Metadata Layer First
Two enterprise stories on why the metadata and semantic layer is the prerequisite for AI agents that actually work — and what to fix in 90 days.
RAG vs Fine-Tuning vs Continued Pretraining
RAG, fine-tuning, and continued pretraining aren't substitutes — they solve different enterprise problems. The 2026 decision framework, with real costs.
Insurance Claims Classification with LLMs
Triaging insurance claims across 61 labels needs more than a model — it needs frozen eval sets, per-label thresholds, and a lakehouse built for documents.
Retail Personalization Beyond the Carousel
Most retail personalization stops at the recommendation carousel. The real lift lives in the inventory join and identity layer underneath.
Why Predictive Maintenance Pilots Stall
Most enterprise predictive maintenance pilots stall before payback. The fix isn't more sensors — it's the data foundation underneath. Here's the pattern.
Why Your AI Pilot Stalls at 80%
Most enterprise AI pilots hit 80% accuracy in a demo and never reach production. Here's the data-stage failure pattern behind it — and a concrete path to ship.