Google Cloud AI Platform vs IBM Watson OpenScale comparison

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3,491 views|2,592 comparisons
100% willing to recommend
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262 views|216 comparisons
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Executive Summary

We performed a comparison between Google Cloud AI Platform and IBM Watson OpenScale based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms.
To learn more, read our detailed AI Development Platforms Report (Updated: April 2024).
768,857 professionals have used our research since 2012.
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "The price of the solution is competitive."
  • "For every thousand uses, it is about four and a half euros."
  • "The solution has an attractive starting program, which costs only 300 USD for a duration of three months. During this period, one can accomplish a lot of work on the solution."
  • "The licenses are cheap."
  • "The pricing is on the expensive side."
  • More Google Cloud AI Platform Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up… more »
    Top Answer:It's a host of use cases depending on, again, the the client requirement.
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    Ranking
    6th
    Views
    3,491
    Comparisons
    2,592
    Reviews
    5
    Average Words per Review
    511
    Rating
    7.8
    16th
    Views
    262
    Comparisons
    216
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
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    Google
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    Overview

    Google AI Platform is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech.

    IBM Watson OpenScale makes it easier for data scientists, application developers, IT and AI operations teams, and business-process owners to collaborate in building, running, and managing production AI. This empowers businesses to confidently integrate machine learning capabilities into their applications and scale seamlessly as the demand for AI grows.

    Sample Customers
    Carousell
    KPMG
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm11%
    University9%
    Manufacturing Company9%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise64%
    No Data Available
    Buyer's Guide
    AI Development Platforms
    April 2024
    Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: April 2024.
    768,857 professionals have used our research since 2012.

    Google Cloud AI Platform is ranked 6th in AI Development Platforms with 7 reviews while IBM Watson OpenScale is ranked 16th in AI Development Platforms. Google Cloud AI Platform is rated 7.8, while IBM Watson OpenScale is rated 0.0. The top reviewer of Google Cloud AI Platform writes "An AI platform AI Platform to train your machine learning models at scale, to host your trained model in the cloud, and to use your model to make predictions about new data". On the other hand, Google Cloud AI Platform is most compared with Microsoft Azure Machine Learning Studio, IBM Watson Machine Learning, Google Vertex AI and Azure OpenAI, whereas IBM Watson OpenScale is most compared with Microsoft Azure Machine Learning Studio, IBM Watson Studio, Amazon SageMaker and Google Vertex AI.

    See our list of best AI Development Platforms vendors.

    We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.