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Azure Machine Learning vs. Cisco AI Defense

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure Machine Learning

    Score8.2 out of 10
    N/AMicrosoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.

    $0

    per month

    Cisco AI Defense

    Score7.9 out of 10
    N/ACisco AI Defense is a solution designed to create end-to-end protection for enterprises building, using, and innovating with AI.N/A
    Pricing
    Azure Machine LearningCisco AI Defense
    Editions & Modules
    Studio Pricing - Free
    $0.00
    per month
    Production Web API - Dev/Test
    $0.00
    per month
    Studio Pricing - Standard
    $9.99
    per ML studio workspace/per month
    Production Web API - Standard S1
    $100.13
    per month
    Production Web API - Standard S2
    $1000.06
    per month
    Production Web API - Standard S3
    $9999.98
    per month
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure Machine LearningCisco AI Defense
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    Azure Machine LearningCisco AI Defense
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    No answers on this topic
    Medium-sized Companies
    TensorFlow
    Score7.6 out of 10
    No answers on this topic
    Enterprises
    TensorFlow
    Score7.6 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure Machine LearningCisco AI Defense
    Likelihood to Recommend
    6.0
    (5 ratings)
    7.9
    (3 ratings)
    Likelihood to Renew
    7.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    7.0
    (2 ratings)
    7.5
    (3 ratings)
    Support Rating
    7.9
    (2 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Azure Machine LearningCisco AI Defense
    Likelihood to Recommend
    Microsoft
    I would highly recommend Azure machine learning design for those with less access to high-end computing infrastructure, as using Azure saves a lot of time, money, and effort by providing a hustle-free platform that is easy to use and train your employees on. On the other hand, if you are looking for complete control of the machine learning model you create and would like to add detailed functionalities and try different algorithms, then Azure is less suitable here as it’s very high level.
    Incentivized
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    Cisco
    Cisco AI Defense helps our organizations discover and monitor the use of rogue and unsanctioned AI applications that is common amongst teams.
    Use of Cisco AI Defense allows security teams to enforce policies and control access of various application and usage.
    It provides granular control over who can access AI applications and models, preventing unauthorized use and ensuring compliance with data privacy and security regulations.
    This is much helpful tool in data privacy and compliance.
    Incentivized
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    Pros
    Microsoft
    • Easy to create the experiment.
    • Easy to adopt the best algorithm.
    • Efficient way to deploy the model as a web service.
    • Centralized platform for the life cycle of machine learning goal.
    Read full review
    Cisco
    • Accurately detect and block phishing attacks
    • Provide real time threat and alerts
    • Integrated easily with security tool
    Incentivized
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    Cons
    Microsoft
    • Few models: Even though it has a lot of Machine Learning models, it is quite limited when compared to R. Most Data Scientists still use and prefer R, so the newest models tend to release as R libraries. With Azure ML, we need to wait for Microsoft to evaluate and decide if including a new model is a good idea or not
    • Tableau interface: last time I checked there was no easy way to connect with Tableau.
    • Cloud based: You always need a good internet connection to use it.
    Incentivized
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    Cisco
    • It detects generic risks
    • Automated feedback between runtime and training
    • Deeper model level access
    Incentivized
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    Usability
    Microsoft
    Good UX/UI and overall good usability, but it takes a while to get used to the product & platform. The whole design seems fragmented with little in terms of integration with project management tools such as JIRA, or wireframing. Overall it feels like an unfinished product that's meant for teaching more than for production.
    Incentivized
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    Cisco
    Though still new, and still developing and maturing, the scope and product features are awesome and very handy for a large corporation. Over time it is expected to provide even more usefulness with larger scope of testing against currently limited set and scope of deployment.
    Future advancements in tool, and in AI algorithms and automation, would be very applicable in inclusive product feature for a wide variety of testing and setting security policies.
    Incentivized
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    Support Rating
    Microsoft
    I'm satisfied with the Azure Machine Learning Studio- it fulfilled my goal in a single channel. Even haven't worr[ied] about the maintenance or any fault tolerance. This provide[s] the user interactive UI to grab the features easily. [Their] support teams also very help[ful], they stand with us at any time.
    Read full review
    Cisco
    No answers on this topic
    Implementation Rating
    Microsoft
    Not sure
    Read full review
    Cisco
    No answers on this topic
    Alternatives Considered
    Microsoft
    It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
    Incentivized
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    Cisco
    It was easier to use, worked better, and was more efficient.
    Incentivized
    Read full review
    Return on Investment
    Microsoft
    • Reduce energy consumption caused by GPUs.
    • Saves on recycling and transporting costs and maintenance caused by buying high-end equipment.
    • Improve productivity as building products using Azure is easier than building everything up from scratch (e.g., machine learning and AI applications).
    Incentivized
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    Cisco
    • Enhanced AI security
    • Compliance and government
    • Shadow AI management
    Incentivized
    Read full review
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