WhyLabs
The WhyLabs AI Observability Platform oversees structured and unstructured data, providing actionable insights and safeguarding sectors against AI bias and business risks, with features including WhyLogs profiles, Langkit integration, and continuous monitoring.
Description for WhyLabs
The WhyLabs AI Observability Platform is designed to oversee structured and unstructured data, LLMS, and other ML models. It leverages WhyLogs for data logging, Langkit for observability, and provides actionable insights to ensure the precision and reliability of AI models.
Features of WhyLabs:
- WhyLogs Profiles: Utilize WhyLogs open-source standard for data logging to generate privacy-preserving dataset summaries.
- Langkit Integration: Furnish LLMS with observability, guardrails, and evaluations for ensuring model precision and reliability.
- Sector Protection: Safeguard financial services, logistics, manufacturing, retail, e-commerce, and healthcare sectors against AI bias and business risks.
- Continuous Monitoring: Monitor critical performance metrics, model drift, and data quality to take preventative measures and enhance AI applications.
- Data Compatibility: Compatible with both structured and unstructured data, supporting batch and streaming processing.
- Integration: Seamless integration with pre-existing data pipelines and multi-cloud architectures for scalable, real-time actionable insights.
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