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IBM Machine Learning for z/OS vs. Pecan.ai

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Machine Learning for z/OS

    Score10 out of 10
    N/AIBM Machine Learning for z/OS® brings AI to transactional applications on IBM zSystems. It can embed machine learning and deep learning models to deliver real-time insight, or inference every transaction with minimal impact to operational SLAs.N/A

    Pecan.ai

    Score7.9 out of 10
    N/APecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, churn, NBO, risk, and segmentation. Pecan does not require any data preparation, engineering, or prepossessing - it connects directly toraw data, and uses neural networks to automate the entire predictive process. With Pecan, organizations can obtain and deploy AI models in days, without…

    $950

    per month

    Pricing
    IBM Machine Learning for z/OSPecan.ai
    Editions & Modules
    No answers on this topic
    Starter
    $950
    per month
    Business
    1,750
    per month
    Pay as you go
    Pay as you go
    per month
    Let's talk
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    Offerings
    Pricing Offerings
    IBM Machine Learning for z/OSPecan.ai
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    IBM Machine Learning for z/OSPecan.ai
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    Medium-sized Companies
    Google Cloud AI
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    User Ratings
    IBM Machine Learning for z/OSPecan.ai
    Likelihood to Recommend
    10.0
    (2 ratings)
    7.0
    (1 ratings)
    Support Rating
    4.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM Machine Learning for z/OSPecan.ai
    Likelihood to Recommend
    IBM
    IBM Watson Machine Learning is an AI-based scalable self-learning model for any type of business. It can be used to help any company automate repetitive tasks, predict future trends, and make data-driven decisions. I used it to predict stock prices based on certain variables. It works well, cost me nothing, and gives me the ability to create my own AI-based models that I can use for any purpose.
    Incentivized
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    Pecan.ai
    Pecan is something that few know and that I feel can represent a great utility for an entire company, to focus and prioritize all its products and services in favor of the right path, avoiding making mistakes and jumping directly to the solution of future problems before they happen. Pecan will allow you to always be one step ahead and improve your trading system quickly.
    Incentivized
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    Pros
    IBM
    • Good machine learning tool
    • Easy integration
    Incentivized
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    Pecan.ai
    • One of the main important characteristics is its ease of use and the intuitive nature of the platform. It is possible to carry out analyzes quickly and efficiently without requiring user experience. This positive point really gives us what we need for our work: optimization and automation.
    • The creation of reports and statistics allows us to fully visualize the analysis carried out, in order to develop our work and carry out the pertinent actions.
    • Segmentation allows us to prioritize potential customers, more focused marketing campaigns, highlight our services with what our public is really interested in.
    Incentivized
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    Cons
    IBM
    • Proper usage of REST API documentation is missing.
    • Not localization friendly, cannot support regional or local language documents.
    Incentivized
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    Pecan.ai
    No answers on this topic
    Support Rating
    IBM
    IBM had a hard time providing business level support. There were a lot of data scientists and technology experts but rarely a simple business person shows up. Also the way IBM operates IBM Consulting has competing priorities as compared to IBM Technology. This has resulted in a lot of confusion at the client's end.
    Incentivized
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    Pecan.ai
    No answers on this topic
    Alternatives Considered
    IBM
    We have been using Microsoft Azure as a machine learning tool. But the challenges remain the same. These are all tools that you need a robust analysis before a decision on the tool. Unfortunately, the technology company cannot make that determination due to lack of core business understanding. Without that the project is doomed.
    Incentivized
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    Pecan.ai
    I particularly believe that CrossEngage has some features that Pecan does not offer, such as A/B Testing, however, we were looking for a good predictor and analyst and the truth is that Pecan does its job very well.
    Incentivized
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    Return on Investment
    IBM
    • Create secure business environment.
    • Save upto 90% of manual labor.
    • Improve my sales and marketing ROI.
    Incentivized
    Read full review
    Pecan.ai
    No answers on this topic
    ScreenShots

    Pecan.ai Screenshots

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