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What is Askdata?

Explore, evaluate, and share data with ease using Askdata, the innovative platform crafted to simplify data engagement. By clicking the "+" icon in the upper right corner, you can effortlessly connect all your data sources. Compile your research and insights into easy-to-navigate data cards that can be enhanced with visuals such as graphs and images, alongside personalized content, which are easily shareable across various platforms and applications. To create a superior data experience, we integrate all of your existing data and analytic tools, delivering a customized experience featuring natural language processing and insightful recommendations. This allows users to tackle any data-related questions through simple search options. With Askdata’s user-friendly natural language querying capabilities, individuals can quickly inquire about their connected data without needing any specialized training. Our proprietary Human2SQL algorithm continuously adapts and improves with every search made. Furthermore, Askdata employs cutting-edge AI and knowledge graph techniques to assist users in discovering relevant content that is systematically arranged within data cards, guaranteeing that the information remains both accessible and pertinent. This groundbreaking strategy not only enhances data interaction but also makes it an enjoyable and efficient experience for users, encouraging exploration and informed decision-making. Ultimately, Askdata empowers users to become more data-driven in their actions and strategies.

What is Amazon Comprehend Medical?

Amazon Comprehend Medical is an NLP service designed to adhere to HIPAA standards, employing machine learning to extract health information from medical documents without necessitating any prior expertise in machine learning from its users. A vast amount of healthcare data is found in unstructured formats, such as physicians' notes, clinical trial reports, and patient histories. Relying on traditional, manual methods for data extraction is not only time-consuming but also prone to errors, as rule-based automation often fails to capture essential contextual details, resulting in incomplete data retrieval. This lack of reliability can significantly undermine the effectiveness of large-scale analytics, which are critical for advancements in the healthcare and life sciences industries, ultimately impeding potential enhancements in patient care and operational effectiveness. By utilizing this sophisticated service, healthcare organizations can gain invaluable insights and improve their decision-making capabilities, ultimately leading to better outcomes for patients. This transformative approach represents a significant leap forward in how health data can be leveraged for greater efficiency and efficacy in medical practices.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
Azure Marketplace
Google Analytics
Google Sheets
LeasePlan
Looker
Microsoft Excel
MySQL
PostgreSQL
SAP Cloud Platform
SAP Store
Snowflake

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
Azure Marketplace
Google Analytics
Google Sheets
LeasePlan
Looker
Microsoft Excel
MySQL
PostgreSQL
SAP Cloud Platform
SAP Store
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Askdata

Company Location

United States

Company Website

www.askdata.com/new-home

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/medical/

Categories and Features

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

Categories and 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

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