What’s new in OpenText Intelligence

OpenText™ Intelligence offers a comprehensive set of tools that help enterprises overcome data challenges at their pace. It ensures a smooth path toward AI technologies focused…

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Virgil Dodson

February 23, 202421 minutes read

OpenText™ Intelligence offers a comprehensive set of tools that help enterprises overcome data challenges at their pace. It ensures a smooth path toward AI technologies focused on improved decision-making and sensitive data discovery for risk identification. Check out the latest OpenText of Cloud Editions (CE) announcement to learn more about the most recent release or request a demo of OpenText Analytics & AI solutions today

February 2024: What’s new in OpenText Intelligence CE 24.1  

OpenText Magellan BI & Reporting 

Hosted SaaS BI service now available on OpenText Cloud  

With 24.1 we are launching a new service currently called OpenText™ Magellan™ BI and Reporting – Public Cloud which is an elastic, multi-tenant, SaaS offering that enables data-driven organizations to define, centrally deploy, and seamlessly embed metrics as well as interactive reports, dashboards, and self-service BI capabilities into any application to empower its users with answers, insights, and application automation. There were so many details to explain that we created a separate blog post here

OpenText Magellan Text Mining  

Beta version of new Document API 

For 24.1, Magellan Text Mining is combining forces with other OpenText product capabilities to provide a super service.  The service is in Beta and includes a new Document API that provides a single entry point to extract content and metadata from a document. Behind the scenes, the API evaluates the document and makes decisions on which models, libraries, and processes are needed to detect and classify the document. 

External LLMs for entity extraction 

You can now use externally created Large Language Models (LLMs) for entity extraction – this backend service for refactoring external models supports multiple LLMs including T5 models for Generative AI-based entity extraction and question-and-answer creation. This allows you to create custom LLM solutions based on your unique business requirements. 

Screenshot of Magellan Text Mining Studio CE 24.1 showing classification models such as Accounting (GAAP-CI), Empathy, Business and Finance, and many more.

OpenText Magellan Text Mining Studio CE 24.1 showing grouped classification models 

UI/UX enhancements 

There have also been several UI/UX enhancements including a single interface for both out-of-the-box models and externally linked Large Language Models (LLMs). The Magellan Text Mining Studio has also been improved in this release adding a new view of sentiment analysis results in the profile testing section, and new grouping capabilities of text classification models through cards. 

OpenText Magellan Risk Guard  

Image analyzer upgrade 

Magellan Risk Guard’s ability to uncover risky or sensitive content in images has been enhanced for CE 24.1.  This includes updates to the existing image analysis models and UI labels plus new image analysis models for medical imagery and offensive gesture detection. 

OpenText Magellan Integration Center  

Access to more data, faster   

OpenText Magellan Integration Center provides data integration and data migration seamlessly across the enterprise.  For 24.1, we now support read/write operations from BLOB storage containers including HDFS and S3 as well as several Web UI improvements in the Magellan Integration Center web user interface to match the existing functionality of the on-prem interface. 

Bulk load from Parquet files  

Apache Parquet is an open-source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficiency and enhanced performance to handle complex data in bulk. This release includes a new Vertica driver that supports the bulk load of data from these Parquet data files, either from local storage or cloud storage like Amazon S3, into Vertica improving the speed and efficiency during the load process. 

OpenText Magellan Data Discovery  

Improved automation and efficiency  

OpenText Magellan Data Discovery, as the name implies, is our tool for performing data discovery, advanced analytics, and predictive analytics on even the largest data set, with minimal effort, and with drag-drop simplicity. For 24.1 the theme was to improve automation support for developers integrating analysis and to make it easier and more efficient to analyze data for the users. To support that theme, CE 24.1 includes several new REST API methods to improve automation support including executing analysis, getting folder content, and exporting analysis using API calls making it easier to include these artifacts in existing business processes. 

New data source transformation commands  

There are also several new transformation commands allowing you to work with data sources, like creating indexes or table links, directly in the Magellan Data Discovery interface, saving you time from switching applications. 

Get to analysis faster with pattern-based file loading  

A new pattern-based file loading feature makes it more efficient to ingest data based on patterns in the file name… like sensor or IoT files that have similar date/time stamps in the file name. 

For more information about OpenText Magellan CE 24.1, check out the release notes for Magellan Text Mining, Magellan Risk Guard, Magellan Integration Center, Magellan Data Discovery, and Magellan BI & Reporting.

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May 2023: What’s new in OpenText Intelligence CE 23.2  

OpenText Magellan Text Mining

Regrouped classification profiles

In Magellan Text Mining CE 23.2, there are several UI/UX improvements and performance enhancements designed to obtain insights faster.  One of those features allows you to configure text mining tasks faster by making it easier and faster to navigate classification profiles.  In text mining terms, profiles are custom or out-of-the-box configurations aimed at a variety of text mining tasks.  Over time, the number of these profiles can grow in quantity making navigating them difficult.  In this release, the Magellan Text Mining Studio user interface has been enhanced to support regrouped profiles allowing users to easily search and navigate through multiple profiles. 

screenshot of OpenText Magellan Text Mining Studio CE 23.2 overview page showing classification model statistics with doughnut graphs, classifications, and other stats
OpenText Magellan Text Mining Studio CE 23.2 overview showing classification model statistics
Improved model statistic navigation 

This version of Magellan Text Mining also comes with an improved experience to better navigate through a model’s statistics. This allows less experienced users to interpret classification results and make better decisions regarding the next course of action like focus on precision, recall, a specific classification, or what to do with incorrectly classified documents.  

Machine learning model training performance 

There have also been significant improvements to machine learning model training performance allowing users to train classification models in a much shorter time to derive high-quality insights faster.  Users can train complex classification models with 10-20 thousand annotated sample files in under 1 hour. 

New pre-processing rules 

Pre-processing rules help to better prepare raw input for text mining tasks and thus guarantee more accurate results. In 23.2, new rules for upper case sequence pre-processing and contract file cleaning are introduced in Magellan Text Mining Studio. These rules can be cloned and modified according to your specific content scenarios.

OpenText Magellan Risk Guard  

screenshot of OpenText Magellan Risk Guard CE 23.2 with colorful list of headless REST API
OpenText Magellan Risk Guard CE 23.2 headless REST API
Headless sensitive data discovery services 

OpenText Magellan Risk Guard is the AI-driven sensitive data discovery software that allows businesses to uncover risky content. In CE 23.2, new services allow developers to interact with the backend of Magellan Risk Guard through headless API calls, that is the communication path between an application and OpenText Magellan Risk Guard.  This expands the integration capability with any desired workflow or external application requirement. 

BETA Risk Guard for SaaS 

Also in 23.2, the work on OpenText Magellan Risk Guard for Google Cloud Platform is progressing ahead of a SaaS offering. Risk Guard is providing customizable APIs for easy integration within any application.  This first SaaS offering allows you to annotate files to validate if there are any PII and classify image and text according to sensitive information taxonomies. This version will also provide users with modifiable profiles to select the models and postprocess the results of annotation and classification according to their SaaS business scenarios.

OpenText Magellan Integration Center  

Cloud deployment support  

OpenText Magellan Integration Center is used to integrate and migrate data seamlessly across the enterprise as well as assist in automating processes.  This release will support containerized deployment on Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE) for self-managed hosting as well as OpenText Cloud managed service providing single tenant deployments. 

Web Administration Console enhancements  

A web administration console introduced in a prior release received a few new enhancements including grants administration where you can get and modify permissions directly in the web console and support for exporting your repository. 

Expanded connectivity and platform support 

Enhancement to the OpenText Content Server REST connector include scalability and performance improvements and also includes new support for moving objects and delete operations using the REST API.  There is new platform support for releases of Oracle Linux (9.0, 9.1) and RedHat Enterprise Linux (9.0) and newly updated connectivity for various releases of OpenText Content Server (23.1), OpenText InfoArchive (23.1), Microsoft SQLServer 2022, PostgreSQL (15.1, 15.2) and OpenText Directory Services OTDS (23.1). 

OpenText Magellan Data Discovery  

Multitenant deployment support  

Magellan Data Discovery allows business users and analysts to quickly access, blend, explore and analyze data with no complex data modeling or coding required.  In this release, Magellan Data Discovery supports multitenancy allowing customers to have different groups of users sharing resources isolated from the other groups in the same instance of Magellan Data Discovery. This means different groups can share information and analysis inside a tenant but users will never see other tenant users or their information, or even know that other tenants exist.  This is a step forward towards a full SaaS cloud offering for Magellan Data Discovery. 

Improved exporting/sharing of analysis  

Exporting from one server to another has been improved allowing Magellan Data Discovery users to export analysis from one instance, like a development server, and import into another, like a production server. Previously, analysis could only be shared between users of the same instance. Export import functionality has been modified to allow a password when creating the export file, that will need to be provided when importing the file. This will provide Magellan Data Discovery users more flexibility and capabilities when using and sharing analysis. 

OpenText Magellan BI & Reporting  

WCAG 2.1 AA accessibility certification  

OpenText Magellan BI & Reporting is the enterprise-grade BI platform that generates, manages, and securely delivers data-driven information assets at enterprise scale. To promote inclusivity, several projects have been ongoing to deliver an accessible report viewing experience, empowering users living with a wide variety of visual, motor, cognitive, and other disabilities to consume reports effectively. For this release, we have officially received Web Content Accessibility Guidelines (WCAG) 2.1 AA accessibility certification.   

The certification applies to both web-based report viewers — the Standard Viewer and the Interactive Viewer — including cases where they are embedded into third-party applications using the JavaScript API.  The certification applies to keyboard navigations and shortcuts, screen reader support, chart patterns, marker contrast support, descriptive captions, and alternate text.  The certification was conducted on version 22.3 so that versions of the Analytics Designer and higher are certified to author WCAG 2.1 accessible reports. 

For more information about OpenText AI and Analytics 23.2, check out the release notes for Magellan Text Mining, Magellan Risk Guard, Magellan Integration Center, Magellan Data Discovery, and Magellan BI & Reporting 

February 2023: What’s new in OpenText Intelligence CE 23.1

OpenText Magellan Text Mining  

Integrate externally created classification models  

The shift to utilize external classification models, like open-source transformer-based BERT models, within Magellan Text Mining allows you to leverage the treasure trove of preexisting models through both the API and now the UI.  This innovative new approach allows you to combine existing OpenText composite AI models with BERT models providing an increased level of content classification. 

Sentiment analysis extended to include empathy detection 

A new machine learning model to detect empathy, like feeling anxious or growing impatient, combined with the existing models to detect emotion, tonality, intention, and hate speech provides a complete understanding or your customer, citizen, or employee generated content. This natural language understanding model is useful for profiling user generated content such as comments, blogs, chats, etc. The new empathy model includes the following classifications: 

Empathetic concernsPersonal distress
Bad Mood
Bad Shape 
Feeling Anxious 
Feeling Bad 
Feeling Depressed 
Feeling Fear 
Feeling Guilty 
Feeling Lost 
Feeling Miserable
Feeling Pain
Feeling Sad
Feeling Worried
Feeling Sorrow 
Feeling Sick 
Growing Impatient 
Hard Time 
Not Working
Something Crazy
Something Wrong
Waste of Time
New empathy model classifications

Granular benchmarking service for text classification models 

Data Scientists and Computational Linguists need tools to fine-tune classification models. Detailed metrics showing the accuracy of a model for each document and for each classification allow them to focus on the area of the taxonomy where precision or recall issues must be addressed. By looking at the problematic areas in the model, the users can make informed decisions on how to improve accuracy. For example, they can quickly identify 4-5 classifications with a lower recall and decide to add more training exemplars to the model or build the rules to trigger classifications based on key phrases found within text. With Granular Benchmarking, not only the modelling, but also the presentation of the classification results is made clearer and comprehensible.  

New scriptable connectivity platform  

The Scriptable connectivity platform allows Magellan Text Mining Studio users to build Python scripts to access the content that was previously not available for analysis without building new connectors. The option to build Python scripts directly within the studio is not only a time-saver but the users now have control over connectivity scripts allowing them to easily re-adapt those scripts for new content repositories.  

Automatic rule creation based on classification name  

Building deterministic rules in a model is a time-consuming exercise, but it always begins with the creation of a basic rules layer. An automated, one click, procedure to generate the rules based on the taxonomy labels helps users to create that basic layer without manipulating large XML or JSON files. Once the rules are created, the users can immediately start classifying the content and with the automated process the users can quickly tag the content to build training sets. 

OOTB Pre-processing rules for email segmentation  

Pre-processing rules help users to remove the portions of the input text that have no value for text mining. For example, the user can automatically remove email signatures or any text that is not directly related to the body of the email. These new pre-processing rules for email segmentation can be cloned and modified with additional key words and key phrases to further refine this pre-processing step.

OpenText Magellan Integration Center

New document transformation capabilities  

Version 23.1 of Magellan Integration Center includes a few new document transformation capabilities including the ability to merge multiple files in PDF, TIFF formats into a single document and a new system function that can converts .doc and .docx and TIFF files to PDF. 

New Integration Center Web Admin Console 

A new web administration console has also been released in version 23.1 and includes many features previously only available in the desktop client.  Some of these features include the ability to create repository entries, add, delete, or update server hosts and client hosts, declare services, define applications that a client host can use, add or update users and more… all the from the browser. 

screenshot with additional client host properties window open
OpenText Magellan Integration Center Web Administration Console CE 23.1
Content Server REST API connector enhancements

With this release there are several improvements to the Content Server REST API connector including URL creation support for Content Server or xECM repositories, the ability to perform record management classification, and several enhancements with the artifact copy operations.

OpenText Core Content connector

A new two-way connector to OpenText Core Content is now bundled with Magellan Integration Services providing access to this content store.

OpenText Magellan Risk Guard 

Support for bulk classification model import tasks

Users can browse existing classification models and select all or several classifications to expose at once within Risk Guard user interface. This feature helps to customize the models available within Risk Guard much faster and makes that task more convenient.

Metrics to validate the usage of Magellan Risk Guard

Users can rely on the size of the files that were processed in MRG project and browse those from metrics. This feature allows users to better plan Risk Guard tasks.

Processing of German PII/PSI content greatly expanded

The availability of German PII/PSI models in Risk Guard along with the expansion of the dynamic linguistic profile for processing German content opens up Risk Guard to organizations needing to evaluate German content for sensitive or risky information.

For more information about OpenText AI and Analytics 23.1, check out the release notes for Magellan Risk GuardMagellan Text Mining and Magellan Integration Center

August 2022: What’s new in OpenText Intelligence CE 22.3 

OpenText Magellan Risk Guard 

Discovery of files with sensitive data related to specific data subjects

Business users can support compliance with consumer and employee privacy regulations by discovering and taking action to protect potentially risky files related to specific customers or employees. This enables users to easily create a Magellan Risk Guard risk assessment dashboard for specified data subjects.  

screenshot with additional "high risk" window  with graph open
In this example, an HR admin can assess a broadly available file share for content with sensitive data related to specific employees, so that high-risk files can be moved to a more secure content repository. 
New UI capability to customize the discovered risks in built-in reporting

Information security, privacy management and compliance teams can optimize their sensitive data risk assessments by including only the most relevant risk types for their project, company or industry. With this update, it is simple to use the Magellan Risk Guard UI to select or de-select risk types. The risk-type customizations will automatically be applied to the built-in dashboards and reports.   

A screenshot demonstrating how using simple checkboxes, users can select and de-select risk types to customize the built-in reports and dashboards.
Via simple checkboxes, users can select and de-select risk types to customize the built-in reports and dashboards.

OpenText Magellan Text Mining 

New UI capability to add dictionaries to use with Magellan’s composite AI models

Data scientists and business analysts can more easily support text analytics use cases that require their own controlled vocabularies. With this Magellan Text Mining update, users can self-service add or customize dictionaries to use with AI models.  

OpenText Magellan Data Discovery 

New supported drivers for ingesting data

Create insights and conduct advanced analysis on 13 new data sources including MySQL, Oracle, SQL Server, Salesforce, and even the files and sensitive data risks identified by Magellan Risk Guard. 

OpenText Magellan BI & Reporting 

Security updates, including an upgrade from Apache Axis 1 to Axis 2 

Information security and IT teams can support data security by upgrading to Magellan BI & Reporting version 22.3. This update includes thousands of security enhancements as part of Magellan’s commitment to proactively upgrade the underlying third-party components. 

New deployment option for Google Kubernetes Engine (GKE)

IT teams can now select from more deployment options to address a broader set of cloud deployment requirements: Google, Amazon and Microsoft Kubernetes services.  

For more information about OpenText AI and Analytics 22.3, check out the release notes for Magellan Risk Guard, Magellan Text Mining, Magellan BI & ReportingMagellan Integration Center and Magellan Data Discovery

June 2022: What’s new in OpenText Intelligence CE 22.2

Magellan Risk Guard

AI-powered risk analysis reporting for OpenText™ Extended ECM and Documentum: Business users can accelerate compliance by quickly creating custom interactive reports without needing AI, data science or analytics expertise. This update enables users to customize their analysis of content in Extended ECM or Documentum by creating interactive PII and PSI reports that are integrated into the Magellan Risk Guard user interface (UI).  To learn more, read the blog post about the new reporting capabilities.

Business users can select a pre-built report from the top navigation and then customize the report by using a simple menu.

User delegation management: Information security, privacy management and compliance teams can secure and limit access to the content risk assessment results available in the Magellan Risk Guard UI. With this update, end-user roles can be set up and managed in compliance with each organization’s information governance policies.  

Magellan Text Mining

Model design recommendation for dictionary and text classification: Data scientists and business analysts can create and customize natural language processing (NLP) more quickly with the simplified NLP modeling experience in the 22.2 release. The updated intuitive experience includes recommendations based on an assessment of the model’s classifications, rules and features so that the user can focus on needed optimizations.

Intuitive assessment and recommendations are available for optimizing NLP models.
Intuitive assessment and recommendations are available for optimizing NLP models.

For more information about OpenText AI and Analytics 22.2, check out the release notes for Magellan Risk Guard and Magellan Text Mining.

March 2022: What’s new in OpenText Intelligence CE 22.1

The latest updates include democratized risk analysis, new text mining models, expanded language support, and external ML model integration.

OpenText™ Cloud Editions (CE) 22.1 features exciting updates across the OpenText enterprise applications ecosystem, including significant enhancements to our AI and Analytics products below:

  • OpenText™ Magellan™ Risk Guard
  • OpenText™ Magellan™ Text Mining
  • OpenText™ Magellan™ Data Discovery, Cloud Edition
  • OpenText™ Magellan™ ML Model Management
  • OpenText™ Magellan™ Integration Center

OpenText Magellan Risk Guard

Organizations need a way to find out what risky or sensitive information may be within their enterprise content repositories. However, each organization has unique requirements driven by their operations.

In the 22.1 release, OpenText Magellan Risk Guard has new innovations that make it easier to tailor the application to business operations. By addressing many common requirements, these built-in capabilities reduce the time, effort, and services needed to customize Risk Guard.

Configurable user roles and permissions

To democratize content ownership and risk analysis, OpenText Magellan Risk Guard 22.1 provides configurable roles and permissions allowing individual users to analyze their content and manage their own risk assessment projects.

Remediation actions for OpenText Documentum

In addition to using OpenText Documentum as a content source for analysis, you can now take remediation action as well. In this release, you can copy, move, or delete content across broader content stores, including Documentum.

French UI support

In our efforts to make content risk analysis available to more users around the globe, the Magellan Risk Guard user interface is now available in the French language.

Magellan Text Mining

An example of the OpenText Magellan Text Mining Studio showing the results of a named entity extraction of a driver’s license from France.

NLP and NLU models for French

Natural Language Process (NLP) and Natural Language Understanding (NLU) models are now available to analyze French language content.

OCR for non-searchable PDF

Some PDF files are constructed in such a way that the text embedded within the document is not searchable. This release of Magellan Text Mining provides OCR for these documents turning this previously unusable content into valuable insights.

OpenText Magellan Data Discovery

Scikit-learn model evaluation

New features in Magellan Data Discovery allow for the evaluation of scikit-learn models. End users can easily determine the state of a model with a graphical representation. Different measures are considered depending on the model type and can return results of valid, invalid, or degraded.

OpenText Magellan ML Model Management

Publish TensorFlow models in Magellan

Organizations need to be able to get insights from small datasets which requires different frameworks. In the latest release, models developed in TensorFlow can be easily integrated into Magellan, expanding the availability of models within Magellan.

OpenText Magellan Integration Center

Expanded enterprise connectivity

Enhancing usability of Magellan Risk Guard and other Magellan products, this release allows for broader connectivity to leading content sources, including SharePoint connector that includes token-based authentication, JIRA support, and Linux file share support.

Improved crawler performance and scalability

Enhancements improve the performance of the crawler enabling processing of large content and data sets.

Additional details on the latest updates can be found in the product release notes. To learn more about OpenText AI and Analytics, visit our website.

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Virgil Dodson avatar image

Virgil Dodson

Virgil Dodson is a marketing director for the OpenText Magellan Analytics and AI products. Virgil is a developer at heart who enjoys solving problems with IoT, big data, AI and machine learning. In his spare time, he enjoys Rubik’s cubes, solving puzzles, collecting coins, and taking pictures. Lately, he has spent time understanding how Magellan integrates with other OpenText products to help expose Analytics and AI to every business application.

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