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    Arize AI

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    Sold by: Arize AI 
    Arize is a machine learning observability and model monitoring platform. Arize's automated model monitoring and analytics platform help ML teams quickly detect issues when they emerge, troubleshoot why they happened, and improve overall model performance. By connecting offline training and validation datasets to online production data in a central inference store, ML teams can streamline model validation, drift detection, data quality checks, and model performance management.

    Overview

    The ability to easily surface unknown issues and diagnose the root cause is what differentiates machine learning observability from traditional model monitoring tools. By centralizing datasets across your training, validation, and production environments across all versions, Arize provides ML teams with the ability to gain the model visibility necessary to detect issues, troubleshoot why they happened, and improve overall model performance.

    • Find and fix model problems faster with Performance Tracing -- Quickly unmask and troubleshoot hidden issues with our unique prediction slicing and filtering capabilities. Specific cohorts of problematic predictions are highlighted for your attention, with tools to see the exact features and dimensions that are pulling performance down.

    • Real-time monitoring designed for scale -- Monitors for drift, data quality, and performance are automatically created for every model. A central model health hub automatically surfaces potential issues with performance and data, sending real-time alerts so you can take immediate action.

    • Pinpoint drift across thousands of prediction facets -- Track for prediction, data, and concept drift across any model facet or combination of dimensions. Easily compare evaluation datasets across training, validation, and production environments to determine any changes against a baseline reference - with lookback windows down to the hourly level.

    • Keep data integrity in check -- Ensure the quality of model data inputs and outputs with automated checks for missing, unexpected, or extreme values. Out-of-distribution points can be separated for root cause analysis and to better understand the impact on aggregate performance.

    • Improve interpretability and explainability -- Gain insights into how your models arrive at outcomes to optimize performance over time. See how a model dimension affects prediction distributions, and leverage SHAP to explain feature importance for specific cohorts.

    • Powerful, dynamic data visualization -- Leverage pre-configured dashboard templates when you need to quickly view the health of your models or create customized dashboards for ad hoc analysis. Visualizations of statistical distributions and performance heatmaps help focus your troubleshooting efforts.

    • Collaborate worry-free with enterprise-grade control -- Easily send in billions of events daily, across any model without latency concerns, and ensure your account is set-up for secure collaboration with configurable organizations, spaces, projects, and role-based access controls.

    Details on all Arize plans can be found at https://arize.com/pricing/ . Pricing for Arize Pro is available below. Contact us directly for custom offers for Arize Starter Edition & Enterprise at marketplace@arize.com 

    Highlights

    • Trace model failures and performance degradation back to problematic cohorts or features
    • Deploy performance, drift, and data quality monitors at scale (with support for delayed ground truth)
    • Conduct A/B model performance comparisons

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Pricing is based on contract duration. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Arize Pro Edition
    Includes up to 2 models, 200 features/model and 10M/annual predictions
    $1,200.00

    Vendor refund policy

    No returns or refunds.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Support

    Vendor support

    Arize AI support is available through the Arize community or email. Please visit the Arize website (https://arize.com/ ) for additional resources and assistance. support@arize.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Ratings and reviews

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    22 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Information Technology and Services

    Arize provided a range of features that provide significant value in MLOps.

    Reviewed on Sep 07, 2023
    Review provided by G2
    What do you like best about the product?
    Their search and retrieval functionality is excellent, with a diverse set of tools for various issues that can come up. The langchain integration is also immensly helpful.
    What do you dislike about the product?
    They have not released their prompt improvement tool kit yet which could add significant value to the platform as a whole. Improving propmt flow is very relevant to most LLM related work today.
    What problems is the product solving and how is that benefiting you?
    Arize AI is helping cluste prompt-response pairs and vsualise how these points are clustered together. This helps identify errors in prompts and improve the working of any LLM based tasks.
    Leisure, Travel & Tourism

    Robust Tool for Model Monitoring and Performance Insights

    Reviewed on Sep 06, 2023
    Review provided by G2
    What do you like best about the product?
    Arize AI offers a comprehensive platform for monitoring machine learning models in real-time. The platform's ability to provide actionable insights into model drift, data issues, and performance degradation is particularly impressive. The user interface is intuitive, making it easy to track and understand the health of deployed models. The integration capabilities with various ML frameworks are also a significant upside, streamlining the process of setting up and monitoring models.
    What do you dislike about the product?
    While Arize AI offers a robust set of features, there can be a learning curve for those new to ML operations. Some advanced features might require a deeper understanding of the platform, and the documentation, while extensive, could be overwhelming for beginners. It would be beneficial if there were more beginner-friendly tutorials or guided walkthroughs.
    What problems is the product solving and how is that benefiting you?
    Arize AI addresses the challenges of understanding and monitoring machine learning models once they are deployed in real-world environments. It provides real-time insights into how a model is performing, allowing for quick identification of any anomalies or issues that might arise.
    Bunty S.

    Arize helps in optimising LLM workflows

    Reviewed on Sep 06, 2023
    Review provided by G2
    What do you like best about the product?
    Optimising MLOps framework
    Feedback analysis
    Clustering approach to data analysis
    Documentation for quick implementation
    What do you dislike about the product?
    Software navigation bit complicated to understand at first
    Only cloud instance of the software, and need to share all the data in cloud .
    What problems is the product solving and how is that benefiting you?
    ML and LLM Ops framework
    Feedback analysis
    Conversational agent output analysis
    Mohammed S.

    Arize AI - the new gen for model explanaibility

    Reviewed on Sep 06, 2023
    Review provided by G2
    What do you like best about the product?
    The product is crisp and I understood how it operates through courses.
    It has almost got everything for model monitoring and other important features. It helps in all the for ML operations.
    What do you dislike about the product?
    Arize AI, if I am not wrong is like a dashboard. It would have been better if there was an API sort of thing where we can leverage the features through a package.
    What problems is the product solving and how is that benefiting you?
    I am still exploring on using the platform. Obviously, it will help in doing MLOps. I am still understanding about this through courses.
    Sourav M.

    Arize helped us in figuring out the data quality issues that were present in our pipeline

    Reviewed on Jan 03, 2023
    Review provided by G2
    What do you like best about the product?
    The team is very responsive and is open to proposed changes
    What do you dislike about the product?
    The UI is not very self-explanatory, hence people may feel a little reluctant to onboarding
    What problems is the product solving and how is that benefiting you?
    We are using it majorly for data quality checks, and next step is to use it for model observability
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