Why your AI pilot stalled at the context gap
Many AI projects are stuck. Don’t blame the models. The problem is a lack of trusted context. Here’s how you solve it.
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Many AI projects are stuck. Don’t blame the models. The problem is a lack of trusted context. Here’s how you solve it.
As AI scales, cracks in data trust and governance start to show. Here's what breaks first, and what it takes to fix it.
We were burning through Gong's API to feed AI. Modeling the transcripts in the warehouse with dbt cut token costs 20x.
Your compute platform and your transformation logic are two separate decisions. Most executives approve them as one.
How Fanatics cut warehouse compute by only rebuilding what's changed
Why do some AI deployments yield great successes while so many still crash and burn? The answer is in the data.