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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon SageMaker AI

    Score8.9 out of 10
    N/AAmazon SageMaker AI is a fully managed AWS service for building, training, customizing, deploying, and managing AI and machine-learning models. It provides development environments, managed training infrastructure, model-serving options, experiment tracking, and governance controls for the model development lifecycle.N/A

    IBM watsonx.governance

    Score8.7 out of 10
    N/AThe more AI is embedded into daily workflows, the more proactive governance is required to drive responsible, ethical decisions across the business. Watsonx.governance is used to direct, manage, and monitor an organization’s AI activities, and employs software automation to strengthen the user's ability to mitigate risk, manage regulatory requirements and address ethical concerns without the excessive costs of switching data science platforms—even for models developed using third-party tools.N/A
    Pricing
    Amazon SageMaker AIIBM watsonx.governance
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Amazon SageMaker AIIBM watsonx.governance
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Amazon SageMaker AIIBM watsonx.governance
    Considered Both Products
    Amazon AWS
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    19 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    17 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    19 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    85%
    Lived up to sales and marketing promises
    11 Answers
    Implementation went as expected
    No answers on this topic
    88%
    Implementation went as expected
    14 Answers
    Best Alternatives
    Amazon SageMaker AIIBM watsonx.governance
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    No answers on this topic
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon SageMaker AIIBM watsonx.governance
    Likelihood to Recommend
    9.0
    (5 ratings)
    8.0
    (18 ratings)
    Usability
    -
    (0 ratings)
    8.2
    (7 ratings)
    User Testimonials
    Amazon SageMaker AIIBM watsonx.governance
    Likelihood to Recommend
    Amazon AWS
    It allows for one-click processes and for things to be auto checked before they are moved through the process but through the system. It also makes training easy. I am able to train users on the basic fundamentals of the tool and how it is used very easily as it is fully managed on its own which is incredible.
    Incentivized
    Read full review
    IBM
    We have been able to make the right decisions based on performance metrics. Data assets across the enterprise have experienced significant growth from comprehensive audits that drive quality growth. The platform has filtered out poorly analyzed data from the workflow chain and introduced stable control mechanisms that meet compliance policies.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • Machine Learning at scale by deploying huge amount of training data
    • Accelerated data processing for faster outputs and learnings
    • Kubernetes integration for containerized deployments
    • Creating API endpoints for use by technical users
    Incentivized
    Read full review
    IBM
    • Supports external AI cloud deployments
    • Helps in the implementation of controls based on ISO/IEC 42001 and the NIST AI RMF
    • Real-time monitoring
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
    • Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
    Incentivized
    Read full review
    IBM
    • Possibility to configure regulatory frameworks where evaluations, documentation, and metrics can be mapped to legal or standard requirements.
    • Possibility to generate structured audit packs aligned to standards or regulations such as ISO/IEC 42001 and the EU AI Act.
    • Provide pre-built connectors for common GRC platforms such as OneTrust, Vanta or Drata.
    Incentivized
    Read full review
    Usability
    Amazon AWS
    No answers on this topic
    IBM
    Research data can be handled and
    governed more effectively to save time and minimize errors. Practical learning helps students
    become more marketable to employers by giving them practical experience with
    industry-standard tools.
    Updates content on AI
    governance in courses to make them more appealing to students. Lowers the time
    needed to manually check for biases, increasing the validity of research
    findings.
    Incentivized
    Read full review
    Alternatives Considered
    Amazon AWS
    Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
    Incentivized
    Read full review
    IBM
    Market leader in AI Governance, Strong GRC solution using IBM OpenPage and watsonx.governance. The product has the key ingredient as follows, OOTB evaluators, custom evaluators, LLM as a judge, simple workflow (though needs to create DPT using templates) and integration with Openpage for Visualization and compliance workflow make it as a ideal for the GRC requirements
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
    • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
    • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
    Incentivized
    Read full review
    IBM
    • It has massively cut down the time our compliance teams spent on preparing compliance packs for EU emissions report. We're talking 4 weeks of manual tracing and spreadsheet validations to just under 3 days now!
    • IBM watsonx.governance flags anomalies in shipping data 2 weeks earlier than our older system, saving us thousands by renegotiating contracts before spot prices rise
    Incentivized
    Read full review
    ScreenShots

    IBM watsonx.governance Screenshots

    Screenshot of the IBM watsonx.governance dashboard.Screenshot of a catalog of available agents.