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features
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support

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Description

Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.

Description

Sales teams in logistics and wholesale are experiencing significant growth due to the integration of decision intelligence and ERP automation. Sales managers at prominent B2B companies in the SME sector are turning to acto to streamline their operational processes. The B2B sales landscape is saturated with various sources of information and manual tasks stemming from ERP, CRM, BI, and Excel spreadsheets. In the absence of effective prioritization, a staggering 80% of valuable insights go unutilized, causing sales teams to miss out on vital opportunities, potential risks, and customer anomalies. This overwhelming influx of data leads to an incessant quest for accurate answers, leaving a large portion of crucial insights untapped. Additionally, the manual searches that sales teams engage in often result in repetitive tasks, such as drafting quotes, interacting with customers, and entering orders, which further compounds inefficiency. Consequently, the reliance on unused data and manual operations can diminish the time allocated to engage with key customers, ultimately costing businesses up to 15% in potential sales revenue. By leveraging AI-driven analyses and automating ERP processes, organizations can significantly boost their B2B sales efficiency. This transformation not only enhances productivity but also empowers sales teams to capitalize on the insights that truly matter.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS AI Services
AWS App Mesh
Amazon Comprehend
Microsoft Excel

Integrations

AWS AI Services
AWS App Mesh
Amazon Comprehend
Microsoft Excel

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/comprehend/medical/

Vendor Details

Company Name

acto

Country

Germany

Website

www.heyacto.com

Product Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Product Features

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

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