WhyLabs AI Observatory

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What is WhyLabs AI Observatory?

WhyLabs AI Observability Platform is a tool that allows users to monitor both structured and unstructured data, including ML models like LLMS.By leveraging the innovative WhyLogs open-source standard data logging, users can generate privacy-preserving dataset summaries known as WhyLogs profiles to ensure data integrity and compliance.

With Langkit integration, the platform provides guardrails, evaluations, and observability for LLMS, enabling data-driven enterprises in various verticals to extract actionable insights and ensure AI models' accuracy and reliability.

The platform serves industries such as financial services, logistics, manufacturing, retail, e-commerce, and healthcare by safeguarding against AI bias, opaqueness, business risks, and ensuring patient safety.

Through continuous monitoring of data quality, model drift, and key performance metrics, WhyLabs enables teams to proactively address issues, prevent data leakage, and improve AI applications through user feedback and cross-team collaboration.

Compatible with both structured and unstructured data, the platform supports batch and streaming processing and seamlessly integrates with existing data pipelines and multi-cloud architectures for real-time actionable insights at scale.

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⭐ Core features & benefits

WhyLabs AI Observatory offers a variety of features and benefits that make it a top choice for a variety of use cases. These are some of the key features:

  • ✔ī¸ Monitor structured and unstructured data
  • ✔ī¸ Generate privacy-preserving dataset summaries
  • ✔ī¸ Provide guardrails, evaluations, and observability for ML models
  • ✔ī¸ Continuous monitoring of data quality, model drift, and key performance metrics
  • ✔ī¸ Support batch and streaming processing

⚙ī¸ Use case ideas for WhyLabs AI Observatory

  1. Enhance data integrity and compliance in the financial services industry by using WhyLabs AI Observability Platform to generate WhyLogs profiles for structured and unstructured data, ensuring privacy-preserving dataset summaries and proactively monitoring data quality and model drift for regulatory compliance and risk mitigation.
  2. Improve patient safety and accuracy of AI models in healthcare by leveraging the Langkit integration in WhyLabs AI Observability Platform to provide guardrails, evaluations, and observability for LLMS, enabling continuous monitoring of key performance metrics and actionable insights for enhancing diagnostic accuracy and treatment outcomes.
  3. Optimize supply chain operations in the logistics industry with WhyLabs AI Observability Platform to monitor model performance and data quality in real-time, preventing data leakage, addressing issues proactively, and improving decision-making through actionable insights and cross-team collaboration for efficient inventory management and delivery logistics.

🙋‍♂ī¸ Users who use this tool

WhyLabs AI Observatory is used by many user groups, including but not limited to some of the following:

Data scientists
Machine learning engineers
Data engineers
Ai project managers
C-level executives in industries using ai

💰 WhyLabs AI Observatory Pricing

WhyLabs AI Observatory uses a Freemium pricing model , meaning there is a limited free tier or trial period along with other options. It also offers 3 pricing packages matching different needs and use cases.

** Prices are subject to change. Always verify pricing information.

Starter

$0

Expert

$125/mo

Enterprise

custom

ℹī¸ Find more

In summary The WhyLabs AI Observability Platform monitors structured and unstructured data, including ML models, through privacy-preserving dataset summaries, accurate guardrails, and proactive issue prevention for multiple industries.

WhyLabs AI Observatory provides programmatic access via an API which makes it easy to use it in your own applications or integrate it with other tools.

Follow WhyLabs AI Observatory on social media to stay updated with the latest news and features:
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AI data monitoring ML model observability AI model performance evaluation
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