eBook
AI Can't Wait: Why Real-Time Systems Demand Upstream Data Quality
Stop AI hallucinations at the source. Learn to enforce data quality before bad data reaches your models.
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Bad data in, bad AI out. Schema drift, missing fields, and corrupted streams cause hallucinations, compliance failures, and broken models—often before anyone notices.
The Real Cost
- Silent failures: Models drift without alerts
- Compliance risk: Bad data triggers regulatory issues
- Wasted compute: Retraining on garbage data
What You'll Learn
- The data quality issues that break AI pipelines
- How to enforce quality at the source, not downstream
- Building reusable data products teams can trust
Who This Is For
CDOs, platform engineers, and data scientists building real-time AI systems—RAG, LLMs, or real-time decisioning.