Compare Amazon Comprehend vs. FICO Decision Management

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Ranking
25th
Views
421
Comparisons
394
Reviews
0
Average Words per Review
0
Rating
N/A
22nd
Views
1,486
Comparisons
1,107
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: February 2021.
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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.

The FICO Decision Management Suite provides an easy way for customers to evaluate, customize, deploy and scale state-of-the-art analytics and decision management solutions. It allows customers to quickly integrate FICO and FICO partner decision management tools and components with their own components, helping organizations of all sizes realize the promise of advanced analytics and decision management via cost effective, scalable cloud and on-premises solutions.
Offer
Learn more about Amazon Comprehend
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Sample Customers
LexisNexis, Vibes, FINRA, VidMob
Aiful, Raiffeisen Bank International AG
Top Industries
VISITORS READING REVIEWS
Computer Software Company24%
Media Company18%
Comms Service Provider10%
Healthcare Company9%
VISITORS READING REVIEWS
Computer Software Company32%
Financial Services Firm16%
Comms Service Provider10%
Insurance Company8%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: February 2021.
464,082 professionals have used our research since 2012.

Amazon Comprehend is ranked 25th in Data Science Platforms while FICO Decision Management is ranked 22nd in Data Science Platforms. Amazon Comprehend is rated 0.0, while FICO Decision Management is rated 0.0. On the other hand, Amazon Comprehend is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio and IBM Watson Studio, whereas FICO Decision Management is most compared with Experian PowerCurve, SAS Real-Time Decision Management, SAS Visual Analytics, Microsoft Azure Machine Learning Studio and H2O.ai.

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