TrustRadius

Amazon Augmented AI (Amazon A2I) vs. IBM Watson Natural Language Understanding

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Augmented AI (Amazon A2I)
Score 6.1 out of 10
N/A
Amazon Augmented AI (Amazon A2I) allows humans and machine learning models to work together to increase the speed and accuracy of machine learning (ML) models. When human review is needed, Amazon A2I guides a human reviewer step-by-step in a process called a workflow. Three groups of humans can provide labels using these workflows: Amazon Mechanical Turk workers, company employees, or third-party vendors. Users pay for each human-reviewed object (which can be an image, an audio recording, a…N/A
IBM Watson Natural Language Understanding
Score 9.3 out of 10
N/A
IBM offers Watson Natural Language Understanding, an NLP application supplying interpretation of unstructured textual data and language concept models.N/A
Pricing
Amazon Augmented AI (Amazon A2I)IBM Watson Natural Language Understanding
Editions & Modules
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Offerings
Pricing Offerings
Amazon Augmented AI (Amazon A2I)IBM Watson Natural Language Understanding
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
Community Pulse
Amazon Augmented AI (Amazon A2I)IBM Watson Natural Language Understanding
User Ratings
Amazon Augmented AI (Amazon A2I)IBM Watson Natural Language Understanding
Likelihood to Recommend
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
Amazon Augmented AI (Amazon A2I)IBM Watson Natural Language Understanding
Likelihood to Recommend
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IBM Watson Natural Language Understanding is a Swiss Army knife that can be used in many scenarios. An extensive list of easy to use APIs is provided making it very easy to integrate it in any environment. The text analysis is decent and above market average. It generates results in many forms to suit may scenarios (important keywords, concepts, sentiment analysis, etc.).
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Pros
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  • Easy to use and extensive APIs.
  • Decent accuracy.
  • It recognizes concepts and semantic roles.
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Anonymous
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Cons
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  • Improve Sentiment Analysis accuracy.
  • Prevent having conflicting results (sad and happy, etc.).
  • Foreign names detection.
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Anonymous
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Return on Investment
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  • Reduced development time.
  • Increased solution efficiency in understanding the user.
  • Increased solution scalability.
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Anonymous
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