Software Alternatives & Reviews

Infosys Nia VS Oracle Data Science Platform

Compare Infosys Nia VS Oracle Data Science Platform and see what are their differences

Infosys Nia logo Infosys Nia

Infosys Nia is an integrated enterprise AI platform that helps organizations redefine their AI journey and solve complex business problems. Nia's capabilities include Data Management, NLP, Cognitive Search, Conversational AI & many more.

Oracle Data Science Platform logo Oracle Data Science Platform

DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.
  • Infosys Nia Landing page
    Landing page //
    2023-05-15
  • Oracle Data Science Platform Landing page
    Landing page //
    2022-11-08

Infosys Nia videos

Infosys Nia(人工知能) Platform

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Category Popularity

0-100% (relative to Infosys Nia and Oracle Data Science Platform)
AI
100 100%
0% 0
Data Science And Machine Learning
Machine Learning
54 54%
46% 46
Data Science Tools
0 0%
100% 100

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What are some alternatives?

When comparing Infosys Nia and Oracle Data Science Platform, you can also consider the following products

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

NumPy - NumPy is the fundamental package for scientific computing with Python