Data pipelines, databases, storage models and analytical infrastructure.
Just-in-Time Ontologies: What Cheap Intelligence Means for Data — Hrishi Olickel, Southbridge AI
12d ago · en-US audio
A pipeline stripped the minus signs from loan amounts and turned a net $784,000 into $5.3 million of debt, with multiple models agreeing on the wrong result. Hrishi Olickel uses failures like this to explain why transforming data requires more than a universal schema or a confident agent. A customer means something different to billing, support and compliance. Useful structure depends on the source, the storage…
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Outlier score
This score was measured on Sun, 25 Oct 2026 03:19:04 GMT. Current view counts may differ.
45.4K views ÷ a 5.3K baseline = 8.5×. Compared with 19 earlier videos from the same channel, matching the format recorded at scoring time. Their counts were observed at comparable video ages.
YouTube snapshot: Sun, 25 Oct 2026 07:50:43 GMT. Counters may have changed.
Read the methodologyArtificial Intelligence & Data
Channel-balanced percentile: 77
Comparison details
38 videos from 28 other channels, with each channel weighted equally. Same format and language, with 100,000–999,999 subscribers. Observed at 304 hours after publication, within ±48 hours.
The comparison uses this broader topic because the specific niche has too few examples. This describes the collected sample, not all of YouTube. Updated Sun, 25 Oct 2026 08:22:53 GMT.
Niches & tags
Transcripts and detailed analytics are available for recent outlier Shorts up to three minutes. Research tools