Aporia
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