Compare Amazon Comprehend vs. IBM Watson Studio

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Amazon Comprehend Logo
551 views|515 comparisons
IBM Watson Studio Logo
5,474 views|4,358 comparisons
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Top Answer: We are looking to automate (parts of) our budgeting and financial forecasting cycle
Ranking
24th
Views
551
Comparisons
515
Reviews
0
Average Words per Review
0
Rating
N/A
10th
Views
5,474
Comparisons
4,358
Reviews
5
Average Words per Review
468
Rating
8.2
Popular Comparisons
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Overview

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.

There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale.

Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic. You can also use AutoML capabilities in Amazon Comprehend to build a custom set of entities or text classification models that are tailored uniquely to your organization’s needs.

For extracting complex medical information from unstructured text, you can use Amazon Comprehend Medical. The service can identify medical information, such as medical conditions, medications, dosages, strengths, and frequencies from a variety of sources like doctor’s notes, clinical trial reports, and patient health records. Amazon Comprehend Medical also identifies the relationship among the extracted medication and test, treatment and procedure information for easier analysis. For example, the service identifies a particular dosage, strength, and frequency related to a specific medication from unstructured clinical notes.

Amazon Comprehend is fully managed, so there are no servers to provision, and no machine learning models to build, train, or deploy. You pay only for what you use, and there are no minimum fees and no upfront commitments.

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.

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Sample Customers
LexisNexis, Vibes, FINRA, VidMob
GroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company22%
Media Company19%
Comms Service Provider9%
Healthcare Company7%
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider23%
Financial Services Firm6%
Retailer6%
Company Size
No Data Available
REVIEWERS
Small Business78%
Large Enterprise22%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: March 2021.
474,319 professionals have used our research since 2012.

Amazon Comprehend is ranked 24th in Data Science Platforms while IBM Watson Studio is ranked 10th in Data Science Platforms with 6 reviews. Amazon Comprehend is rated 0.0, while IBM Watson Studio is rated 8.2. On the other hand, the top reviewer of IBM Watson Studio writes "Machine learning that can be applicable for other data sets without having to carry out the process all over again". Amazon Comprehend is most compared with Amazon SageMaker and Microsoft Azure Machine Learning Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Google Cloud Datalab and SAS Visual Analytics.

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