Seldon

4.60

RATING

3 M+

EXPOSURE

About this tool

Name

Seldon

Category

tools

Seldon is a British technology company founded in 2014, specializing in machine learning operations (MLOps) solutions. Their products facilitate the deployment, monitoring, and management of machine learning models at scale, catering to enterprises aiming to streamline their AI workflows. Key Products: Seldon Core: An open-source MLOps framework that packages, deploys, monitors, and manages thousands of production machine learning models. It supports various machine learning frameworks and languages, ensuring flexibility and scalability. Seldon Enterprise Platform: A comprehensive platform offering advanced features such as governance, risk management, compliance, and enhanced monitoring capabilities. It integrates seamlessly with existing tech stacks and supports deployment across multiple environments, including cloud and on-premises. Alibi: An open-source Python library providing algorithms for machine learning model explainability, aiding in understanding and interpreting model predictions.

Ratings and Reviews

4.80

Seldon has revolutionized our machine learning deployment process. The platform's scalability and integration capabilities have streamlined our workflows, allowing us to manage models efficiently. It's an indispensable tool for any data science team.

March 15, 2024

Emily Johnson

4.20

Implementing Seldon has significantly improved our model monitoring and governance. The transparency and control it offers over our AI models have enhanced our compliance and performance metrics. Highly recommended for organizations seeking robust MLOps solutions.

June 18, 2024

James Carter

4.70

Seldon's user-friendly interface and comprehensive features have made deploying and managing machine learning models seamless. The support team is responsive and knowledgeable, ensuring a smooth experience. It's a must-have for businesses leveraging AI technologies.

September 8, 2024

Sophia Martinez

How to use

Seldon Core: Installation: Deploy Seldon Core on a Kubernetes cluster to manage and scale machine learning models effectively. Model Deployment: Package your machine learning models into containers and deploy them using Seldon Core's deployment tools. Monitoring: Utilize built-in monitoring features to track model performance and ensure reliability. Seldon Enterprise Platform: Access: Obtain a license and set up the platform within your organization's infrastructure. Governance: Implement governance policies and compliance measures to manage risk and adhere to regulations. Advanced Monitoring: Leverage enhanced monitoring tools to gain deeper insights into model behavior and performance. Alibi: Integration: Incorporate Alibi into your Python environment to access model explainability algorithms. Usage: Apply Alibi's methods to interpret and explain predictions from your machine learning models, enhancing transparency and trustworthiness.

Visit Website