FAQ from WhyLabs AI Observability Platform
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.