Every day, around 328.77 million terabytes of data are generated.
What’s even more amazing is that businesses and organizations use this massive sea of data to improve and benefit their operations.
But, to make sense of this data, they need powerful analytical tools that can quickly analyze data and generate insights. This is where Evidently AI comes in. Evidently AI is a platform that provides an extensive set of tools for model validation, data quality monitoring, and model performance tracking.
What is Evidently AI?
Evidently AI is an open-source Python library. It helps evaluate, test, and monitor ML models from validation to production. It aims to serve many users, regardless of technical expertise.
With Evidently AI, Firms can quickly and easily analyze their data and make informed decisions.
Also, it provides a user-friendly interface for data scientists and analysts, making it easy to visualize and understand complex data sets. This allows businesses to get started quickly by using the platform without the need for extensive training or support.
Moreover, Evidently AI provides many advanced features and functionalities. It supports a variety of data sources, including spreadsheets, databases, and APIs, making it easy to integrate with existing systems.
The platform also provides support for natural language processing, allowing users to ask questions and get answers in plain English.
Another great feature of Evidently AI is its machine learning capabilities. The platform offers a variety of ML algorithms, such as, random forests, decision trees and neural networks.
These algorithms allow users to analyze and make predictions about their data. In addition, it helps them to identify trends and make informed decisions.
Furthermore, EvidentlyAI has a monitoring service component that collects data and model metrics from an ML service. It can compute the same metrics and statistical tests as Dashboards and JSON Profiles.
Also, it calculates the metrics over the streaming data and emits them in Prometheus format.
There are pre-built Grafana dashboards to visualize them. The Monitors output the metrics that can be further logged elsewhere. It is currently recommended to use the Evidently monitoring service together with Grafana and Prometheus.
Evidently AI provides a metrics calculation layer, and Prometheus handles the storage of metrics. Grafana displays dashboards and manages alerts through a metrics calculation layer.
How Does Evidently AI Work?
Evidently AI has three main features:
Model Validation, Data Quality Monitoring, and Model Performance Tracking.
Model Validation
It ensures that the model is accurate and trustable to make predictions. Evidently AI provides several methods for model validation, including distribution analysis, feature importance analysis, and permutation feature importance.
- Distribution analysis compares the distributions of the training and test data sets to identify any differences that may affect the model’s accuracy.
- Feature importance analysis identifies which features have the most significant impact on the model’s predictions.
- Permutation feature importance is a technique that randomly shuffles the values of individual features to determine their impact on the model’s accuracy.
Data Quality Monitoring
It is the process of ensuring that the data used to train and test the model is accurate, complete, and up to date. Evidently AI provides data drift detection, missing value analysis, and outlier detection.
- Data drift detection compares the distribution of new data with the original data to detect any changes that may affect the model’s accuracy.
- Missing value analysis identifies any missing data in the training and test data sets.
- Outlier detection identifies any outliers that may skew the model’s predictions.
Model Performance Tracking
Model Performance Tracking is the process of monitoring the model’s performance over time to ensure that it produces accurate predictions. Evidently AI provides several tools for model performance tracking. It includes confusion matrix analysis, ROC curve analysis, and precision-recall analysis.
Benefits of Evidently AI
Evidently AI provides several benefits for businesses and organizations, including:
- Automated Model Validation
Evidently AI automates the model validation process, making it easier and faster for data scientists and analysts to validate their models.
- Data Quality Monitoring
Evidently AI monitors data quality, ensuring that the data used to train and test the model is accurate and up-to-date.
- Real-Time Model Performance Tracking
Evidently AI provides real-time model performance tracking, ensuring that the model continues to produce accurate predictions over time.
- Customizable Reports
Evidently AI provides customizable reports, allowing businesses and organizations to tailor the reports to their specific needs.
- Friendly User Interface
Evidently AI provides a user-friendly interface that makes it easy for data scientists and analysts to visualize and understand complex data sets.
Wrapping it up!
Evidently AI is an essential tool for businesses and organizations for model validation, data quality monitoring, and model performance tracking. Its automated tools make it easier and faster to analyze and understand complex data sets. With Evidently AI, businesses and organizations can ensure that their machine learning models are accurate and reliable and continue to produce accurate predictions over time.