Your AI Deserves Better Data
summary
Companies use domain experts and tighter pipelines to fix deployment failures: medical LLM data reannotation reduced hallucination from 12% to 2% and a retail recollect for low‑light and angle edge cases boosts accuracy from 78% to 95%. Objectways scales from 20 to 2,200 employees and 500M labels, runs 600–700 annotators to deliver ~10,000 frames/week, and offers SOC‑2, GDPR and TPN compliance plus the Tensoract air‑gap/SaaS platform for secure, multimodal collection and annotation.
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chapters (13)
- 0:00Introduction to AI data challenges
- 1:56Key data quality issues
- 3:23Real-world data necessity
- 5:32Data collection best practices
- 6:58Domain expertise in annotation
- 8:00Company capabilities overview
- 10:51Multimodal data annotation focus
- 11:33Case study medical data
- 12:57Case study retail vision model
- 13:38Evolving annotation methodology
- 14:39Quality validation methods
- 15:00From vendor to strategic partner
- 15:42Call to action premium data
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