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What is OnPoint CORTEX?

OnPoint’s CORTEX™ is an advanced analytics platform designed to leverage both historical information and the insights of your process engineers to increase profitability by enhancing operational effectiveness, which encompasses improved production rates and minimized downtime. In contrast to conventional regression or statistical techniques, CORTEX employs machine learning in conjunction with robust computational power, enabling it to extract valuable insights from complex process data. Users can upload their data in its native format, and CORTEX will seamlessly clean it, address any missing values, and effectively handle categorical variables. Additionally, the platform offers tools for visualizing and removing outliers while allowing users to add rows and columns to investigate which variables have a significant influence on their processes. With its innovative algorithm, CORTEX eliminates the need for users to hunt for the best model, as MaGE produces a wide array of models along with a finely tuned ensemble model and provides performance metrics for each. Furthermore, CORTEX not only enhances decision-making through data but also equips users with the tools necessary to confidently navigate the complexities of their operational landscapes. Ultimately, CORTEX enables users to transform their data into actionable insights with remarkable efficiency.

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

Amazon S3
Amazon SES
Apache HBase
Apache Hive
Apache Spark
Genpact Cora
Google Cloud BigQuery
Google Cloud Platform
Hadoop
Impala
Mage Platform
MySQL
Oracle Cloud Infrastructure
PostgreSQL
SAP HANA
SQL Server
Softland HCM
Spark
Teradata VantageCloud
Windocks

Integrations Supported

Amazon S3
Amazon SES
Apache HBase
Apache Hive
Apache Spark
Genpact Cora
Google Cloud BigQuery
Google Cloud Platform
Hadoop
Impala
Mage Platform
MySQL
Oracle Cloud Infrastructure
PostgreSQL
SAP HANA
SQL Server
Softland HCM
Spark
Teradata VantageCloud
Windocks

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

OnPoint - A Koch Engineered Solutions Company

Company Location

United States

Company Website

www.onpointsolutions.com/cortex/

Company Facts

Organization Name

Mage Data

Date Founded

2014

Company Location

United States

Company Website

magedata.ai/dynamic-data-masking/

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Categories and Features

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