AI Model Monitoring Tool

What is evidentlyai.com?

Evidentlyai.com is the official website of Evidently AI, a company specializing in the development of an open-source tool tailored for the evaluation, testing, and monitoring of machine learning models. This versatile tool accommodates a wide range of data types and application scenarios, including but not limited to tabular data, natural language processing, recommender systems, and fraud detection. Evidently AI has primarily designed this tool to cater to the needs of data scientists and machine learning engineers who seek a reliable solution for deploying machine learning systems into production environments. To gain a deeper understanding of Evidently AI and their tool, you can explore their website or delve into their case studies, which offer insights into their contributions to the field of machine learning system design.

How does evidentlyai.com work?

Evidentlyai.com provides an open-source Python library designed to assist data scientists and ML engineers in the comprehensive evaluation, testing, and monitoring of data and ML models, spanning from the validation stage to production deployment. This library offers support for a variety of data types, including tabular data, text data, and embeddings, utilizing a modular framework comprised of three key components: reports, test suites, and a monitoring dashboard. Its user-friendly nature is further highlighted by its simple, declarative API and a library that houses an array of built-in metrics, tests, and visualizations.

Some of the tasks that can be accomplished using evidentlyai.com include:

1. Conducting exploratory data analysis and data profiling with just a single line of code.
2. Evaluating data stability, data quality, and model performance both before and after deployment.
3. Ongoing monitoring of all aspects related to your data, models, and test results over time.
4. Generating visual HTML reports and ML model cards for enhanced insights.
5. Seamless integration of an evaluation step within your data/ML pipeline, along with the ability to log outputs for further analysis or visualization.

Additionally, Evidentlyai.com offers a cloud-based solution, enabling users to self-host an ML monitoring dashboard, allowing for the tracking of metrics and performance indicators over time. To gain a more in-depth understanding of how to utilize evidentlyai.com effectively, you can explore their website, consult their documentation, or join their Discord community for valuable insights and support.

What are the benefits of evidentlyai.com?

Evidentlyai.com offers several advantages for data scientists and ML engineers seeking to effectively manage ML systems in production:

1. Simplified Monitoring and Evaluation: The platform provides a user-friendly, declarative API along with a comprehensive library of built-in metrics, tests, and visualizations for efficiently assessing, testing, and monitoring data and ML models throughout the entire validation-to-production cycle.

2. Versatile Support for Data Types: EvidentlyAI accommodates a wide range of data types and use cases, including tabular data, natural language processing, recommender systems, and fraud detection, making it adaptable to diverse ML applications.

3. Robust Reporting and Logging: Users can generate visual HTML reports and ML model cards, as well as log outputs for further analysis or visualization, aiding in the documentation and debugging processes.

4. Proactive Issue Resolution: The platform empowers users to proactively identify and resolve production model issues, ensuring optimal performance and facilitating continuous improvement of ML systems.

5. Cloud-Based Solution: Evidentlyai.com offers a cloud-based solution that allows users to self-host an ML monitoring dashboard, enabling them to track metrics over time for ongoing performance monitoring and analysis.

6. Active Community: With a substantial and engaged community of users and contributors, Evidentlyai.com provides valuable support, feedback, and insights on ML in production, fostering a collaborative environment for knowledge exchange and problem-solving.

What are some limitations of evidentlyai.com?

While Evidentlyai.com offers significant benefits for ML monitoring, it's important to consider its limitations:

1. Limited Data Types: Evidentlyai.com primarily supports tabular and text data, which may not be suitable for monitoring other data types like images, audio, or video. This limitation may restrict its applicability for projects involving non-tabular or non-textual data.

2. Dependence on Pandas: The tool relies on the Pandas library for data processing, which can potentially limit its effectiveness with very large datasets. The specific limitations and computation time constraints depend on the user's infrastructure and the complexity of the metrics being used. It's essential to consider your data size and computational resources when using EvidentlyAI.

3. Manual Intervention Required: Evidentlyai.com lacks automated actions or alerting capabilities based on monitoring results. Users must manually review reports or dashboards and make decisions regarding any necessary follow-up actions. This means that continuous monitoring and response are dependent on user-initiated actions rather than automated processes.

How much does evidentlyai.com cost?

Evidentlyai.com offers different pricing plans tailored to your specific needs and preferences:

1. Open-Source Version: This option is available free of charge, but it requires users to self-host and manage the tool independently. It provides the core functionality of EvidentlyAI but without additional support or features.

2. Cloud Version: Starting at $100 per month, the cloud version offers a convenient ready-to-use web app with pre-built monitoring tabs, alerting integrations, and email support. It is suitable for users who prefer a hassle-free monitoring solution.

3. Enterprise Version: The enterprise version provides a highly customizable solution tailored to your specific requirements. It includes features such as private deployment options, extended limits, role-based access control, audit logs, and enterprise-level support with Service Level Agreements (SLA).

To make an informed decision, you can compare the features and benefits of each plan on the Evidentlyai.com website or reach out to them directly for a customized quote based on your organization's needs.

What is Evidently AI and how does it enhance AI observability?

Evidently AI is an open-source tool designed to evaluate, test, and monitor AI-powered products. It provides a comprehensive platform for AI observability with customizable dashboards, continuous testing, and in-depth debugging capabilities. The tool enables users to evaluate input and output quality for predictive tasks, monitor data drift, and ensure adherence to guidelines. Users can also easily design their own AI quality system using a library of 100+ in-built metrics or custom ones.

How does Evidently AI help in tracking data drift and model performance?

Evidently AI aids in tracking data drift by detecting shifts in model inputs and outputs. This allows users to get early warnings on model decay without requiring labeled data. The platform enables the monitoring of changes in text, tabular data, and embeddings over time. By keeping an eye on data drift and performing continuous testing, Evidently AI ensures robust model performance and helps users proactively address potential issues.

What are the collaborative features offered by Evidently AI for AI product teams?

Evidently AI is built as a collaborative platform that brings together engineers, product managers, and domain experts to work on AI quality. It provides users the flexibility to choose between a web interface or API for running checks programmatically. The tool enables effortless sharing of evaluation results to communicate progress and share examples within teams. This collaborative functionality makes it easier for AI product teams to maintain alignment on AI observability goals.