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Updated 02/24/2024
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Monitor your ML models in one comprehensive dashboard to ensure optimal machine learning model performance.

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Aporia is an advanced Machine Learning (ML) observability platform that offers a centralized, real-time view of model health and performance. It is designed to monitor ML models in one comprehensive dashboard, ensuring optimal performance.

Key Features

  • ML Observability Dashboards: Provides a centralized, real-time view of model health and performance.
  • Explainability: Offers insights into the logic behind your models' predictions.
  • Root Cause Analysis: Helps to identify patterns, new opportunities, visualize unstructured data, and pinpoint the root cause.
  • ML Monitoring: Detects drifts, bias, and data integrity issues.
  • Live Alerts: Sends live alerts to Slack/MS Teams on any drift, bias, or data integrity issues.
  • Big-Data Support: Connects directly to your data lake - Redshift, S3, Athena, Databricks, Snowflake, and BigQuery - without duplicating your data.
  • Customization: Allows tailoring dashboards to track inference trends, data behavior, and performance.

Use Cases

The platform can be used in various ML use cases such as:

  • Recommender Systems
  • Customer Lifetime Value (LTV)
  • Dynamic Pricing
  • Demand Forecasting
  • Churn Prediction
  • Fraud Detection
  • Credit Risk
  • Natural Language Processing (NLP)
  • General AI Use cases like Chatbots, Virtual assistant, Writing companion, Employee empowerment, Responsible AI, ML Integrity, Bais & Fairness, Compliance & Security

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