WhyLabs AI Observability Platform Features

WhyLabs AI Observability Platform Features. WhyLabs AI Observability Platform: Monitor models & data at any scale, detect issues faster, and prevent costly ML incidents. Cloud-agnostic & seamless.

Key Features of WhyLabs AI Observability Platform

  • Model and data health monitoring
  • Continuous tracking of model input and output drift
  • Detection of training-serving skew
  • Enhancement of AI performance through optimal model selection and feature identification
  • Traceability of cohorts impacting model performance and bias introduction
  • Preventive measures for data quality issues in feature pipelines and stores
  • LLM security for self-hosted and proprietary LLM APIs
  • Inline actions to counter malicious prompts and abuse risks
  • Security measures against OWASP Top 10 vulnerabilities
  • Continuous evaluation of LLM prompts for enhanced user experience
  • Enterprise-grade features like RBAC, SAML SSO, and advanced trigger configurations
  • Security compliance with SOC 2 Type 2 standards
  • Hybrid SaaS deployment model for sensitive models
  • Tools for root cause analysis and issue resolution
  • Intelligent monitoring algorithms for baseline and seasonal analysis
  • Seamless integration with existing tools and pipelines

Applications of WhyLabs AI Observability Platform

  • Financial Services: Mitigate AI bias and enhance transparency in financial operations
  • Logistics & Manufacturing: Drive competitive advantage through continuous AI optimization
  • Retail & E-commerce: Improve decision-making and model accuracy in retail settings
  • Healthcare: Ensure reliability, compliance, and patient safety in healthcare AI systems

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