Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
Cloud & Infrastructure
The New Stack·Jun 17·5 min read
Your AI isn’t broken. Your data is.
TL;DR
Many enterprises invest heavily in AI but often receive poor results due to low-quality data, termed data ROT (redundant, obsolete, and trivial). Clario has developed a platform aimed at addressing this issue by cleaning and optimizing data for AI projects.
✦ Why It Matters
Engineers can leverage Clario's platform to enhance data quality, leading to more effective AI solutions.
Key Takeaways
- Assess your stored data for redundancy and obsolescence.
- Implement a data cleanup process to improve AI performance.
- Utilize Clario's platform for automated data classification.
- Monitor data quality continuously to avoid future issues.
How It Works
Clario connects to various enterprise file systems and scans metadata to identify garbage data using heuristics like file checksums and access timestamps. When a file is flagged, it triggers a notification workflow, allowing users to decide its fate, which helps the system learn and improve over time.