IBM Watson Studio vs Infosys Nia comparison

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1,911 views|1,285 comparisons
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226 views|171 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Watson Studio and Infosys Nia based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, TensorFlow, Google and others in AI Development Platforms.
To learn more, read our detailed AI Development Platforms Report (Updated: February 2024).
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Quotes From Members
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Here are some excerpts of what they said:
Pricing and Cost Advice
  • "Watson Studio's pricing is reasonable for what you get."
  • "IBM Watson Studio is a reasonably priced product"
  • "IBM Watson Studio is an expensive solution."
  • "The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
  • More IBM Watson Studio Pricing and Cost Advice →

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    Top Answer:From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users a… more »
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    Ranking
    7th
    Views
    1,911
    Comparisons
    1,285
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    16th
    Views
    226
    Comparisons
    171
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    IBM
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    Overview

    IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

    Infosys Nia is an Artificial Intelligence platform which collects and aggregates organizational data from people, processes and legacy systems into a self-learning knowledge base and then automates repetitive business and IT processes, freeing up human effort to solve higher-value customer problems that require creativity, passion, and imagination.

    Sample Customers
    GroupM, Accenture, Fifth Third Bank
    Johnson Controls, Adient, Syngenta, UBS
    Top Industries
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Educational Organization8%
    Comms Service Provider7%
    No Data Available
    Company Size
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise12%
    Large Enterprise68%
    No Data Available
    Buyer's Guide
    AI Development Platforms
    February 2024
    Find out what your peers are saying about Microsoft, TensorFlow, Google and others in AI Development Platforms. Updated: February 2024.
    755,666 professionals have used our research since 2012.

    IBM Watson Studio is ranked 7th in AI Development Platforms with 5 reviews while Infosys Nia is ranked 16th in AI Development Platforms. IBM Watson Studio is rated 8.2, while Infosys Nia is rated 0.0. The top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". On the other hand, IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Databricks, Azure OpenAI, Google Vertex AI and IBM SPSS Statistics, whereas Infosys Nia is most compared with TensorFlow and Microsoft Azure Machine Learning Studio.

    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.