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What is Mage?

Mage is an innovative platform that enables the effortless transformation of your data into actionable predictions. In only a few minutes, you can build, train, and deploy predictive models without any need for previous AI knowledge. By effectively ranking content on user home feeds, you can significantly enhance user engagement. Additionally, displaying the most relevant products tailored to individual users can lead to improved conversion rates. Mage also helps in predicting which users might stop using your application, thereby aiding in user retention. Furthermore, it facilitates better conversions by accurately matching users within a marketplace. The success of AI is rooted in data quality, and Mage is designed to guide you through this process, offering valuable tips to refine your data and boost your AI skills. While understanding AI and its predictions can be daunting, Mage simplifies the experience by providing clear explanations of each metric, enabling you to comprehend how your AI model functions. With just a few lines of code, you can obtain real-time predictions and smoothly integrate your AI model into any application, making the process not only efficient but also user-friendly for everyone. This all-encompassing approach guarantees that you are utilizing AI to its fullest potential while also acquiring insights that can propel your business forward, ultimately making data-driven decision-making a reality for all users.

What is Mage Dynamic Data Masking?

The Mageâ„¢ Dynamic Data Masking module, a key component of the Mage data security platform, has been meticulously designed with the end user's needs in mind. In partnership with clients, this module effectively meets their distinct challenges and requirements. As a result, it has evolved to support nearly all conceivable scenarios that businesses may face. Unlike many rival products that typically originate from acquisitions or target specific niches, Mageâ„¢ Dynamic Data Masking is tailored to deliver thorough safeguarding of sensitive information accessed by application and database users in live environments. This solution also seamlessly integrates into a company's current IT framework, negating the necessity for significant architectural changes, which facilitates a more effortless implementation for organizations. Furthermore, this thoughtful design underscores a dedication to bolstering data security while enhancing user experience and operational effectiveness, positioning it as a reliable choice for enterprises seeking robust data protection. Ultimately, the Mageâ„¢ Dynamic Data Masking module stands out for its ability to adapt to the evolving landscape of data security needs.

Media

Media

Integrations Supported

CodeSign Secure
Python
R
SQL
Terraform

Integrations Supported

Amazon S3
Apache Hive
Apache Spark
Calyx
Genpact Cora
Google Cloud BigQuery
Google Cloud Platform
Hadoop
Impala
Mage Platform
PostgreSQL
Softland HCM
Spark
Teradata VantageCloud
Windocks

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Mage

Date Founded

2020

Company Location

United States

Company Website

www.mage.ai/

Company Facts

Organization Name

Mage Data

Date Founded

2014

Company Location

United States

Company Website

magedata.ai/dynamic-data-masking/

Categories and Features

Data Pipeline

Not specified

Predictive Analytics

Not specified

Categories and Features

Data Masking

Not specified

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