What is Deepchecks Monitoring?
Deepchecks automates AI and ML validation through comprehensive testing, monitoring, and collaboration tools. This holistic open-source solution enables you to thoroughly test data and models during every phase, from research to production deployment.
Key Features
- In-depth Testing: Deepchecks Testing offers a wide range of Checks for Tabular, NLP, and CV, enabling proactive identification of issues with data distribution, integrity, and model performance.
- Continuous Validation: Deepchecks Monitoring tracks and validates deployed models, ensuring they perform as expected in production and promptly alerting stakeholders to any deviations or anomalies. Collaborative Platform: Deepchecks provides a shared platform for development teams, data scientists, and stakeholders to efficiently collaborate on test results, iterate on models, and make informed decisions.
Use-Cases
- A data science team leverages Deepchecks to proactively identify data inconsistencies and biases, ensuring model accuracy.
- A DevOps engineer utilizes Deepchecks' CI/CD integration to automate testing and ensure models meet quality standards before deployment.
- A business analyst uses Deepchecks Monitoring to guarantee a deployed model's performance aligns with business requirements and customer expectations.
Conclusion
Deepchecks offers a comprehensive solution for continuous validation of AI and ML models and data. Its focus on testing, monitoring, and collaboration empowers teams to build and deploy reliable and high-quality models, fostering trust and confidence in AI systems.
More information on Deepchecks Monitoring
Launched
2023
Pricing Model
Free
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
Deepchecks Monitoring was manually vetted by our editorial team and was first featured on 2023-06-18.
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