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WhyLabs AI Observability Platform

WhyLabs AI Observability Platform

WhyLabs platform enables MLOps with model and data monitoring for efficient issue detection and prevention.

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Introduction

The WhyLabs AI Observability Platform is a cloud-agnostic solution that enables MLOps by providing model monitoring and data monitoring capabilities. It supports monitoring of any type of data at any scale. The platform helps detect data and machine learning (ML) issues faster, delivers continuous improvements, and prevents costly incidents.

Key Features

Model and data health monitoring

Continuous monitoring for model input and output drift

Identification of training-serving skew

Improvement of AI performance by identifying the best model candidate and reliable features

Traceability of cohorts that contribute to model performance and introduce bias

Proactive resolution of data quality issues in feature pipelines and feature stores

LLM (Language and Learning Models) security for self-hosted and proprietary LLM APIs

Inline actions to protect against prompts with malicious intent and abuse risk

Protection against OWASP Top 10 vulnerabilities, such as prompt injections and data leakage

Continuous evaluation of LLM prompts and responses to ensure a positive user experience

Enterprise-grade features, including RBAC, SAML SSO, API controls, and advanced trigger and notification configurations

Security compliance (SOC 2 Type 2)

Hybrid SaaS deployment model for highly confidential models

Root cause analysis tools for issue investigation

Powerful monitoring algorithms for intelligent baseline and seasonal monitors

Seamless integration with existing pipelines and tools

Frequently Asked Questions

What is WhyLabs AI Observability Platform?

The WhyLabs AI Observability Platform is a cloud-agnostic solution that enables MLOps by providing model monitoring and data monitoring capabilities. It supports monitoring of any type of data at any scale. The platform helps detect data and machine learning (ML) issues faster, delivers continuous improvements, and prevents costly incidents.

How to use WhyLabs AI Observability Platform?

To use the WhyLabs AI Observability Platform, you need to integrate the purpose-built agents with your existing data pipelines and multi-cloud architectures. The platform provides secure integration with built-in agents that analyze raw data without moving or duplicating it, ensuring data privacy and security. You can then continuously monitor your predictive models, generative models, data pipelines, and feature stores using the integrated agents. The platform also supports monitoring of structured or unstructured data by running whylogs on your data and uploading the logs to the platform.

What types of data can be monitored with the WhyLabs AI Observability Platform?

The WhyLabs AI Observability Platform can monitor any type of data, whether structured or unstructured.

Is the WhyLabs AI Observability Platform compatible with multi-cloud architectures?

Yes, the platform is cloud-agnostic and can seamlessly integrate with multi-cloud architectures.

Does the WhyLabs AI Observability Platform support monitoring of language and learning models (LLMs)?

Yes, the platform provides LLM security and monitoring capabilities to implement guardrails, evaluations, and observability for LLMs.

Is the WhyLabs AI Observability Platform compliant with security standards?

Yes, the platform is SOC 2 Type 2 compliant and has been approved by security teams at healthcare companies and banks.

Can the WhyLabs AI Observability Platform handle large amounts of data?

Yes, the platform can process massive amounts of data and provide real-time actionable insights in minutes.

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Use Cases

  • Financial Services: Safeguard financial services businesses from the risks of AI bias and opaqueness
  • Logistics & Manufacturing: Ensure AI continuously delivers an advantage to logistics and manufacturing businesses
  • Retail & E-commerce: Optimize retail business decisions and ensure accurate and reliable models
  • Healthcare: Monitor AI systems used in healthcare to ensure reliability, compliance, and patient safety

How to Use

To use the WhyLabs AI Observability Platform, you need to integrate the purpose-built agents with your existing data pipelines and multi-cloud architectures. The platform provides secure integration with built-in agents that analyze raw data without moving or duplicating it, ensuring data privacy and security. You can then continuously monitor your predictive models, generative models, data pipelines, and feature stores using the integrated agents. The platform also supports monitoring of structured or unstructured data by running whylogs on your data and uploading the logs to the platform.