OpenText™ Knowledge Discovery (IDOL) provides a data analytics platform for enterprises who need to extract maximum value from all their text, audio, video, and image data, from any repository in any file format. Providing data extraction, data enrichment, precise search and knowledge discovery, Knowledge Discovery helps organizations discover valuable information they did not know they had, whilst also identifying compliance risk associated with document contents such as personally identifiable information (PII) using entity grammars. 

With an unparalleled history in artificial intelligence and machine learning, Knowledge Discovery provides a unique set of optimized models to fit any application, accelerating time to value. Connecting and gathering information from diverse locations with over 160 connector types, including Public and Private Cloud and On-Premise, Salesforce, Microsoft® 365, Google Workspace and OpenText Content Solutions and can access and retrieve information and knowledge from over 2000 file types.  

May 2025: What’s new in OpenText Knowledge Discovery CE 25.2

This OpenText Knowledge Discovery (IDOL) CE 25.2 release includes various functional and performance improvements, new connectors, file format support, and many other additions. 

New connectors

• Improved OpenText Information Archive connector – An updated bidirectional connector for the Information Archive repository allows it to archive data as well as search and understand previously archived data.

• New Guidewire connector – A searching connector enables the ingestion of contract and policy content into the OpenText Knowledge Discovery index.

Named Entity Recognition - Landmarks exposed to pre-process

• Defined improvements in Named Entity Recognition – Added elements for Turkish Address, more city names in NZ Addressand the NZ Social Welfare number. 

• Defined improvements in PCI - Added extra delimiters for card details, in names and medical details, as well as expanded landmarks for Telephone context matching. 

• PII Japanese names accuracy improved - Increased accuracy of Named Entity Recognition detecting Japanese names, and improved ability to correctly identify Japanese names within a document.  

Opentext File Content Extraction updates and other improvements

• File formats - New Design Web Format (DWF) filter support, metadata now available from password-protected iWork files and additional formats detected. 

• Performance improvements – A reduction in the iWork reader disk footprint as well as a reduction of the footprint of the common third-party libraries. 

• Easier access to HTML Export from Filter – Improved ability to select XMP metadata elements and subfile extraction arguments added to C++ API 

• OEM platform – OEM Easier fault diagnosis with library-wide logging, improved security of inter-process mechanisms and better HTML Export fidelity for DWG Docs.  

January 2025: What’s new in OpenText Knowledge Discovery CE 25.1  

Organizations are looking to access all their Enterprise Data; but in a world where 90% of existing corporate knowledge is in Unstructured formats, over 50% of organizations are not tapping into this aspect of their knowledge with any form of discovery. Customers can use OpenText Knowledge Discovery with new interfaces, including using Natural language questioning to reach their information securely across all users. 

This OpenText Knowledge Discovery (IDOL) CE 25.1 release includes various functional and performance improvements, new connectors, file format support, and many other additions. 

New APIs added 

PII named entity resolution REST API – created a published REST API to access OpenTex Named Entity Recognition for PII functionality. Simplifies the adoption of Knowledge Discovery Al technology by internal and external OEMs 

Rich-Media analysis REST API – created a published REST API to access all Rich Media analytics functionality. Simplifies the adoption of Knowledge Discovery Al technology by internal and external OEMs 

Ingest and connectors 

New OpenText DAM connector

• A highly functional connector to the OpenText DAM product. This allows OpenText Knowledge Discovery to ingest and enrich content from the DAM repository and keep the data synchronized between the two systems to provide DAM content filtering using the Search Abstractor API 

Improved security in OpenText Content Management (Extended ECM) Connector  

• Increased alignment of document security policies between OpenText Content Management and OpenText Knowledge Discovery

• OpenText Content Management has numerous document security models above and beyond document folder based, where possible these have now been mapped to OpenText Knowledge Discovery's understanding of access rights

OpenText Named Entity Recognition - Landmarks exposed to pre-process 

Defined grammar landmarks are now visible at the pre-process stage of OpenText Named Entity Recognition

• Pre-processing can significantly help in reducing latency and workload, landmarks can be used to help make selection decisions at this early stage. DLP OEM vendors will benefit from this.  

PII Thailand names accuracy improved

• Increased accuracy of OpenText Named Entity Recognition detecting Thai names - the new grammar has an improved ability to correctly identify Thai names within a document  

Deployment and other improvements 

Automatic scaling OpenText Knowledge Discovery platform for Kubernetes

• Published Helm charts to deploy OpenText Knowledge Discovery with the ability to automatically scale resource - deployment size flexibility along with simplified expansion as and when required 

Vault integration with OpenText Knowledge Discovery components

• OpenText Knowledge Discovery microservices can securely store passwords and keys in the Vault repository (or equivalent)  
• Customers will benefit from cloud deployment best practice of secure central storage of passwords and keys etc. 

December 2024: What’s new in OpenText Knowledge Discovery CE 24.4 

Organizations are looking to access all their enterprise data; but in a world where 90% of existing corporate knowledge is in unstructured formats, over 50% of organizations are not tapping into this aspect of their knowledge with any form of discovery. Customers can use Knowledge Discovery with new interfaces, including using natural language questioning to reach their information securely across all users. 

This OpenText Knowledge Discovery (IDOL) 24.4 release includes various functional and performance improvements, new connectors, file format support, and many other additions. 

New API added 

Search Abstractor Rest API – created to support conversational question and answering with better context for AI generated responses. Conversation server, working with FAQ answers through Answer bank, Fact bank and now LLM’s remembers the context of questions within the conversations service in Knowledge Discovery. Adding to the great governance provided by curated answers. 

Filtering support in the Search Abstractor adds parametric fields for pre-filtering of documents. The search results can provide microscopic view of either single or multiple documents through criteria for fine grain filtering. The searching can now utilise prior knowledge to allow focus on RAG document retrieval, by using parametric fields to build a subset of entities for RAG. 

Working across text documents and images simultaneously in the search abstractor. Searching can now take criteria of both text and images as search criteria, and the results will also include similar images making Multi Modal search available. 

Ingest & connectors 

• Salesforce – Updating the connector to stay up to date with the changes in Salesforce. 

• Additional Pre filtering for focused selection added to OpenText Core Content Management & OpenText Content Management.

• IBM FileNet P8 Each document in FileNet can have multiple binary files which we now interrogate. 

Text analytics 

• Analytics: LLM based image matching - Image based transformers can be used to generate vectors for the Knowledge Discovery (IDOL) Index. Customers can now search for similar images based on not just the textual description but also the actual image content.   

Media Server 

• The Media Server as a NiFi Processor is now available with full functionality. This allow NiFi workflows and the ability to scale and manage the Media Server app though Nifi clustering. 

• Demo application with abilities to process and analyze images and other functionalities is now available in the Media Server for ease of use. 

File content extraction

• Filtering of Source Code comments 

• Support added for Metadata output for .mht files & QuickTime (.mov) files. 

• Extended format detection, with support for 93 additional file formats. 

• In HTML Export the pdf2sr reader to extract images from pages in a PDF file, you can now configure the size of the images to produce. 

Deployment & other improvements 

• HELM charts for Kubernetes provide a comprehensive set of options to assist complex deployments. With the 24.4 release we bring further enhancements to our HELM charts. 

• Named Entity Recognition SDK: You can load multiple grammars and then dynamically turn off what it is not needed for a particular document, allowing the flexibility of swapping grammars with less degradation of performance in comparison to the loading unloading cycle of grammars. The new thing is a reducing of the overall impact of this process.  

July 2024: What’s new in OpenText Knowledge Discovery (IDOL) CE 24.3

OpenText Knowledge Discovery CE 24.3 is a significant release for the third quarter of CY24. There is an increasing need for companies to reach a greater variety of data, which adds to the complexity of their search types. We allow all customers to achieve a suitable response in their enterprise-wide search across all levels of an organization.

Now part of Content Services, the combination of best of breed products will help organizations who are looking to access all their corporate knowledge through enterprise search. Bringing additional abilities to derive deeper insights, reach actionable conclusions quicker, and gaining a new level of investigative analytics, across content, teams, and projects. Document level security is also enhanced, with extra features to report and export securely and track data delivery end to end.

The Knowledge Discovery CE 24.3 release includes various functional and performance improvements, new connectors, file format support, and many other additions.

The main improvements in version CE 24.3 are listed below:

Ingest 

• Microsoft Teams, Zoom, Cisco Webex and Google Chat connectors – New connectors allow customers to collect collaborative video meetings for retrospective analysis and/or content retrieval as part of aviator search.

Text Analytics 

• Search abstractor – Customers will have better context provided by the RAG to pass on to the GenAI, therefore experiencing a higher likelihood of a correct answer being produced.

• Specific document retrieval – Customer can ask the system to find and return a specific document that matches their unique specification.

Rich Media Analytics 

• OCR improvement – Improved OCR for better support of scrolling text. Customers will experience a higher accuracy of extracted text from video imagery. 

• Speaker ID improvement – Customers will experience a higher accuracy of Speaker ID from video or audio files. 

KeyView 

• Added Audio and Video to the Export SDK.

• Added 30 new formats to File detection. 

• Metadata API Improved to limit duplicated data.

• New .NET API.

• Added support for Python 3.12.

Solutions 

• Knowledge Discovery Discover – Discover provides investigative analytics and advanced UI for searching and analyzing relations between objects, with project and team collaboration along with full oversight on the analytics process.

• Knowledge Discovery for Microsoft Exchange – Knowledge Discovery can be added as a BOT in MS Exchange allowing customers to directly access the functionality via simple natural language prompts emailed to a BOT email address in MS Exchange. 

Deployment & Licensing changes 

All components are now published to the Public Docker Hub repository to allow easier installation, maintenance and upgrades.

• Eduction Python EDK – Customers who prefer to program using the popular Python language can now use it to control our Eduction engine, simplifying their integration experience. 

• Eduction for Windows ARM – OEM users of Eduction EDK can now deploy on Windows ARM systems. 

• Additional license feature
  • From CE 23.2, we are introducing an additional license feature – a “version.key” 
  • The file is available in the SLD portal for customers with an active support contract and is required for all Knowledge Discovery installations running CE 23.2.
  • New key will be issued with every future Knowledge Discovery release. 

April 2024: What’s new in OpenText Knowledge Discovery (IDOL) CE 24.2

Organizations are looking for conversational access to enterprise data; in a world where 90% of existing corporate knowledge is in unstructured data, over 50% of organizations are not tapping into this aspect of their knowledge with any form of discovery. Customers can use the new interfaces with Q&A using natural language questioning to deliver their information with data securely to all users.

This OpenText IDOL 24.2 release includes various functional and performance improvements, new connectors, file format support, and many other additions.

New solution added: Teams client

• Customers can access functionality using simple natural language prompts directly via the Teams interface.

Ingest & connectors

• Drupal Connector – Updated to support the latest API changes and allow data extraction from old and new Drupal versions.  

• Google Workspace Connectors – Content extraction is now accessible from the major Google Workspace apps including Mail, Calendar and Chat using dedicated connectors.

• Web Connector 2FA – Updated to allow 2Factor Authentication. 

• Additional new connectors – Stack Exchange; Moodle and OpenText eDocs.

• IDOL Media Server – Can now run within NiFi, allowing processing of media streams & sources.

Text analytics

• Analytics: Search abstraction – IDOL can now automatically decide which index type to use to achieve the best response. The functionality abstracts the complexity of search types, democratizing Enterprise search, and allowing all users to achieve a suitable response, across all levels of an organization. 

• Multi-document summarization – Generative summary compiled from answers sourced from multi documents. The functionality provides richer answer to any question asked as it can be the combination of multiple parts sourced from different documents. 

• Dynamic clustering of vector results to identify grouping – Customers can use the grouping of results to select a variation in documents returned rather than returning very similar documents with no added information. 

• Analytics: LLM based image matching – Image based transformers can be used to generate vectors for the IDOL Index. Customers can now search for similar images based on not just the textual description but also the actual image content.   

Media Server

• The Media Server as a NiFi processor is now available with full functionality. This allow for NiFi workflows and the ability to scale and manage the Media Server app though Kubernetes. 

• Demo application with abilities to process and analyze images and other functionalities is now available in the Media Server for ease of use. 

KeyView

• Tabular data detection for One Note & pipe separated text.  

• OCR is now available on MacOS through the KeyView SDKs.

• Header & Footer are now configurable through Python APIs.

• Significant Performance improvements through Shared Memory Streaming.

• Additional Formats, Security & Compatibility improvements.

Deployment & other improvements

• HELM charts for Kubernetes provide a comprehensive set of options to assist complex deployments. CE 24.2 brings further enhancements to our HELM charts. 

• Eduction SDK Post-processing access to match context.

The post What’s new in OpenText Knowledge Discovery appeared first on OpenText Blogs.

In today’s data-driven world, managing enterprise content efficiently while ensuring compliance and security is a top priority for organizations. OpenText™ Documentum™ Content Management (CM) has long been a trusted enterprise content management (ECM) platform, offering robust capabilities to handle vast amounts of content with precision.  Now, with the introduction of OpenText Documentum CM’s AI-driven workflow insights powered by OpenText™ Content Aviator, customers can take their business processes to new heights. This innovative feature integrates AI directly into workflows, providing actionable insights at every step to streamline decision-making. Let’s explore how this new capability, alongside OpenText Documentum CM’s existing strengths, can supercharge your information ecosystem. 

Supercharge workflows with generative AI

OpenText Documentum CM CE 25.2 includes new AI-enabled workflow insights technology that will revolutionize the way reviewers interact with content at every step of the workflow process. OpenText Documentum CM’s workflow capabilities have always been a strength, offering a configurable environment with pre-built templates (e.g., 20+ for life sciences) and advanced features like task escalation, and real-time monitoring. The new AI-driven workflow insights powered by OpenText Content Aviator takes this to the next level by embedding AI directly into each step of the workflow process. At every stage, OpenText Content Aviator analyzes the content, extracts key data points, presents pre-defined insights and answers real-time questions from reviewers, enabling faster, more informed decision-making. 

This AI integration not only enhances productivity but also maintains OpenText Documentum CM’s commitment to security and compliance. OpenText Content Aviator adheres to ACLs, ensuring reviewers only see authorized data, and its privacy-first approach means no customer data is used to train LLMs. Additionally, the AI can generate summaries, reports, or even draft communications (e.g., emails to stakeholders) at each workflow step, further enhancing productivity. For industries like Logistics and Transportation, Air France KLM could use this feature to summarize invoice statuses at each approval stage, reducing payment times even further. 

Conclusion: Transform your information ecosystem using OpenText Documentum CM with OpenText Content Aviator

OpenText Documentum CM’s AI-driven workflow insights offer a transformative solution for managing your information ecosystem. From streamlined document management and ironclad security to scalable cloud deployments, AI-powered insights, and seamless integrations, OpenText Documentum CM empowers organizations to operate efficiently and compliantly. The new AI-driven workflow insights feature takes this a step further by providing actionable insights at every step, enabling faster, data-driven decisions, as seen in potential applications for customers like Tata Power Delhi and Open Grid Europe. 

Whether you’re a global enterprise managing billions of documents or a regulated industry ensuring compliance, OpenText Documentum CM’s AI-driven workflow insights powered by OpenText Content Aviator can supercharge your processes. Ready to revolutionize your ECM strategy?  Take OpenText Content Aviator for a test drive. 

The post Revolutionizing workflows with AI-driven workflow insights powered by AI content management appeared first on OpenText Blogs.

Supply chain leaders today are navigating one of the most dynamic and disruptive technology landscapes we’ve ever seen. From agentic AI and decision intelligence to robotics, IoT, and digital twins — the possibilities are endless. But with so many choices, how do you determine which technologies will truly drive ROI and long-term resilience for your supply chain? 

OpenText is proud to return as a Platinum sponsor at the Gartner Supply Chain Symposium/Xpo™ 2025, taking place in Orlando, Florida, May 5–7, and Barcelona, May 19–21. These premier gatherings bring together global supply chain executives, practitioners, and technology experts to share insights, tackle challenges, and rethink what’s possible. 

Spotlight Session in Orlando: "Finding Your North Star for Supply Chain Tech Investments" 

One of the key highlights of our participation this year is the opportunity to share the stage with Daniel Stanton, also known as Mr. Supply Chain®, a globally recognized expert and author whose practical guidance has helped thousands of supply chain professionals worldwide. 

Join us for our featured session: 

OpenText: Finding Your North Star for Supply Chain Tech Investments 
Wednesday, May 7 | 2:30 PM – 3:00 PM 
Speaker: Vesna Soraic, OpenText 
Guest: Daniel Stanton, Mr. Supply Chain® 

In this session, we’ll explore how to avoid common pitfalls that prevent companies from realizing ROI on their technology investments — and how to focus on what really matters when navigating emerging technologies. Daniel Stanton will share his insights on how to prioritize tech investments that create real business value, supported by OpenText’s perspective on enabling smarter, more connected, and more autonomous supply chains. 

Bonus: Don’t miss the chance to meet Daniel Stanton in person at the OpenText Booth (#231, Atlantic Hall) during the Networking Reception on Tuesday, May 6, where he will be signing copies of his new book.

Live Demos & Expert Conversations at Booth #231 

Throughout the event, stop by our booth to experience live demonstrations of OpenText’s supply chain solutions in action. Discover how we help companies achieve greater agility, visibility, and automation across their supply chain ecosystems — from B2B integration to supply chain automation and insights, traceability, and secure collaboration. 

Our team of experts will be on hand to discuss your unique challenges and how OpenText solutions can help you build a more resilient and future-ready supply chain. 

Barcelona Session: Real-World Innovation with Shell 

The conversation continues in Barcelona, where Ville Parkkinen from OpenText will take the stage alongside Jonathan Cullender from Shell to share practical insights from Shell’s digital transformation journey. Learn how a global energy leader is leveraging technology to drive smarter supply chain operations and sustainable business outcomes. 

Let’s Connect at Gartner Supply Chain Symposium/Xpo 2025

The Gartner Supply Chain Symposium/Xpo remains one of the most important venues for rethinking the future of supply chains — and we’re excited to be part of the conversation. 

Whether you're just starting to explore new technologies or looking to maximize the value of your existing investments, we invite you to connect with OpenText in Orlando and Barcelona. Let’s talk about how we can help you find your North Star for supply chain innovation. 

See you at Booth #231! 

The post OpenText at Gartner Supply Chain Symposium/Xpo 2025: Guiding Your Technology Investments Toward Maximum Business Value  appeared first on OpenText Blogs.

OpenText Aviator Search, powered by AI and natural language processing (NLP), offers a unique way to access and read data seamlessly, regardless of format. Its conversational interface makes it easy for users to interact with their enterprise data, enhancing their roles with the skills of knowledge workers or search analysts. The real-time cloud-based data analysis enables users to quickly find answers, gain insights, and make better decisions.

April 2025: What's new in OpenText Aviator Search CE 25.2

The Aviator Search CE 25.2 release extends the admin capabilities and performance improvements, new usability improvements, and many other additions. The main improvements in version CE 25.2 are listed below:

User enhancements to ease retrieving insight

• Crossing the unhighlighted content to visit the next relevant section in the referenced document: Jumping between relevant chunks within a reference document allows end users to quickly identify and navigate between the highlighted chunks within a reference document, improving speed of reference reading and usability.

Admin UI enhancements

• Continuing enhancements to bring ongoing improvements for the admin user:
  • Admin screens for enrichment module - Admins can now turn off/ turn on speech to text component during an ingestion workflow.  This provides additional control to the customer on the use and consumption of enrichment components.
  • Ingestion time stamps and states provides information to the customer admin about recent ingestion cycle and next ingestion with the use of  time stamps.  Proving time and ingestion cycles and improving usability.

February 2025: What’s new in OpenText Aviator Search CE 25.1

The Aviator Search CE 25.1 release includes enhancements to Q&A, error log improvements for admins and many other additions. The main improvements in this release are listed below:

Identifying the in-house expert

Customers conduct Q&A as normal, now with the ability continue analysis with the best person in your organisation and return to their work better informed.

• Expert Identification added, ranking the authors of the top reference documents based on the initial search.
• Arrive informed with the list of content that gave you the answer and the details of the best person to continue the conversation.
• Add people to data by listing out the content authors in the people tab, allowing you to discover the value of your data by its author not just its location and relevance.

Identifying relevant part of a document

Customers conduct Q&A as normal, now with the ability to see the most important chunk of information used to synthesize the answer highlighted in the reference document.

• Strengthens the evidence pattern by allowing users to understand how an answer is generated.
• Benefits all user types regardless of whether a knowledge worker or a search analyst using Aviator Search.

Admin UI enhancements for error logging

Continuing enhancements to bring ongoing improvements for the admin user.

• New error log page adding a centralised location for easier error viewing and tracking.

November 2024: What’s new in OpenText Aviator Search CE 24.4

The OpenText Aviator Search CE 24.4 release includes various functional and performance improvements, new connectors, file format support and many other additions. 

The main improvements in CE 24.4 are listed below: 

Out of the box connector support

New connectors added for OpenText Content Management, OpenText Documentum Content Management, OpenText Core Content Management, Microsoft OneDrive and The Google Cloud Platform file system.

New connectors to allow customer to collect additional content from Off Cloud and On Cloud repositories, allowing organizations to take their first steps into GenAI. 

• Reduced ESG impact with no need to relocate, you can save costs and with no need to replicate, and save on any ESG expense 

• Safe for Secure verticals who cannot or do not want to place any of their content into the public cloud. 

• GenAI power to local data by allowing access to local content but with a secure index in Aviator Search with trusted link to Google’s LLM. 

Bookmarking a Question

Customers can do Q&A as normal but if interrupted they have the ability to bookmark where they are and then return to that work later. 

• Overcome the challenge of constant changes in requests and requirements in day-to-day work, leaving users half-way through many differing tasks.  

• Access to previous analysis with a streamline process to produce waypoints within work. 

• Pick up where you left off discover increased productivity with the ability to return to an enquiry at the point you left, with no need to restart.  

Admin UI enhancements for error logging 

• Trap Error messages that are exposed in the Admin UI 

July 2024: What’s new in OpenText Aviator Search CE 24.3

Business users have a growing need to rapidly obtain direct answers from their enterprise content in order to complete their work. With no natural language search available across content, they are unable to easily search all content sources and obtain accurate answers fast. Instead, they spend cycles on repetitive tasks or waste hours trying to locate the content they have already been working on. In some cases, upgrading their content platform to a recent version is not a commitment IT has made, yet the business wants to leverage GenAI now.

Aviator Search can now offer a wider reach to your existing data outside of your OpenText platform, allowing you to search through enterprise data securely and across all repositories and data types (structured or unstructured, text, social). This new GenAI solution empowers organizations to untap the rich knowledge and connections hidden in their content.

The Aviator Search 24.3 release includes various functional and performance improvements, new connectors, file format support, and many other additions.

The main improvements in version 24.3 are listed below:

OOTB connector support

• Microsoft Teams, Extended ECM, Documentum and Microsoft SharePoint Online – New connectors to allow customers to collect collaborative video meetings/chats for retrospective analysis and/or content retrieval.

Simple Admin UI for managing ingestion workflows

• Customer admins can start/stop an ingestion workflow, as well as delete a repository or define new one. 

Q&A on Teams chats and recorded meetings

• Customers can do Q&A on the transcripts of meeting recordings and chat documents. Customers can also view the recording in an in-app viewer.

• All pronouns and references in the questions are resolved and a rephrased question with resolved pronouns is shown to the end user to have more clarity on what question is being answered by Aviator Search.

Focused investigation

• Customers can focus their research or investigation within a specific individual document and quickly understand lengthy content.

Single document retrieval search

• Customers can now retrieve a single specific document. E.g. Get me the release notes of Aviator Search 24.3.

Re-direction to source system

• Users can now redirect their search back to the source repository or system for a reference document, allowing users to then use the native interfaces on that file.

Suggested follow-up questions

• To help keep the conversation going, Aviator Search suggests follow-up questions based on the active conversation.

The post What’s new in OpenText Aviator Search  appeared first on OpenText Blogs.

The Financial Services industry is ripe with untapped potential for Independent Software Vendors (ISVs) looking to expand their offerings and impact. As this traditionally stable sector faces rising pressure to become more dynamic, customer-centric, and agile, ISVs are in a unique position to deliver innovative, tailored solutions—and become part of a joint journey with their clients and prospects.
Driven by digitally savvy consumers, increased competition from FinTechs, and the demand for always-on, personalized services, financial institutions are accelerating their technology adoption. But this shift comes with strict requirements around security, compliance, and governance, creating both challenges and significant opportunities for ISVs.
With the support of OpenText’s OEM Solutions portfolio, ISVs can easily and quickly embed powerful, enterprise-grade capabilities into their financial services focused applications—enhancing value, accelerating go-to-market strategies, and helping clients Banks, Insurance companies, Investment firms and others with confidence and security.
Here are four key areas where ISVs can make an immediate impact within this industry:

1. Streamlining Document-Centric Workflows
Manual document handling continues to slow down operations across the financial industry. From loan applications to client onboarding and insurance claims, paperwork remains a major bottleneck and although most companies have implemented processes and functionalities to accelerate the processing of documentation, there is still a long way for them to fully embrace the benefits of automatic and digital-first solutions that can help them even further.
With OpenText™ Capture and Intelligent Document Processing , ISVs can embed advanced OCR (optical character recognition) and data extraction capabilities directly into their applications. This transforms paper-based and image-heavy processes into streamlined, automated workflows—turning unstructured content into structured, usable data in real time.

By integrating OpenText™ Capture, ISVs can offer clients:
1. Faster credit evaluations
2. Seamless onboarding experiences for new clients
3. Accurate, AI-powered data recognition from IDs and documentation provided at time of applications
4. Reduced manual data entry and human error

2. Enhancing Compliance and Accuracy with Intelligent Document Processing
In financial services, compliance is non-negotiable. Regulatory bodies demand strict controls over how data and documentation are handled, stored, and tracked.  Even internal business units within these institutions demand internal teams to find a solid way to process documentation in such a way that ensures protection from falling into liabilities, legal action or affecting their reputation.
 OpenText™ Capture uses AI and machine learning to automatically classify, tag, and organize documents based on regulatory rules. By embedding this functionality, ISVs can help their clients stay audit-ready—reducing risk and ensuring data governance is built into every process.

Benefits for ISVs and their clients include:

1.Automated regulatory compliance workflows
2.Accurate data capture with full traceability
3.Secure archiving and retention policies
4.Reduced exposure to regulatory fines

3. Turning Data into Actionable Offers with Predictive Analytics
Customer data is an untapped goldmine—if you know how to harness it. One of the biggest challenges for financial institutions is turning fragmented data into targeted, actionable insights that drive engagement and growth. If you think about it, Financial Institutions manage massive amounts of data across their organizations, whether it is credit initiation information, transactional records, claims and investment historical transactions, interaction history via contact centers. digital channels and at branches. This means that making sense and generating value of such a large amount of information can be problematic and, let’s be honest, quite complex.  But it doesn’t necessarily need to be that way.
OpenText™ Analytics Cloud solutions, also available via the OEM portfolio, enables ISVs to build powerful analytics features into their client’s platforms—helping clients consolidate data silos and uncover key trends in customer behavior, churn prediction, and cross-selling opportunities. 

Data Lakehouse & Analytics as well as Business Intelligence, Visualization and Reporting solutions are the core foundations of solutions ISVs can build and help clients achieve:

1.A 360° view of customers across all services
2.Predictive modeling for churn and acquisition
3.Automated report generation for actionable decision-making
4.Up to 70%+ accuracy in cross-sell predictions
5.A measurable increase in per-customer profitability


4. Elevating Customer Engagement with Personalized Communications
In today’s market, customer experience is the new currency. Financial institutions want to build meaningful, consistent, and personalized engagement across channels as a way to better manage relationships with clients and better understand their needs. The presence of multiple channels such as in person, phone calls, e-mails, social media, and several other digital channels, makes the process quite complex, but not when technology can be leveraged to drive a new and improved engagement experience—and ISVs can help them do just that.
Through OpenText™ Experience Cloud, ISVs can embed tools like OpenText™ Contact Center Analytics, OpenText™ Digital Fax Solutions, OpenText™ Core Messaging, and more to help clients communicate more effectively with their customers—wherever they are, and however they prefer. As an example, an Insurance Broker can be ready to reach out to customers at the time of relevant and important milestones, such as the purchase of a property and not only congratulate them for the purchase, but rather provide additional critical information that can elevate the whole experience and generate higher engagement. Providing tips, additional information on related services and even providing access to workshops and webinars related home improvement, can indeed make a substantial difference when personalizing and building meaningful relationships. 

There are several benefits of OEM-ing the services of the Experience Cloud Solutions, but some of the most relevant are:

1.Personalized and timely client communications
2.A quiet seamless creation of Omnichannel engagement strategies
3.AI-powered content recommendations
4.Scalable personalization using OpenText Experience Aviator – via the use of generative AI

All the capabilities highlighted on this document, can help financial institutions transform customer interactions into loyalty-building experiences—something ISVs can deliver as a turnkey enhancement.

The Takeaway for ISVs
Financial institutions are actively seeking innovative solutions that solve complex, real-world problems—but they don’t want to build them from scratch. This is where ISVs, backed by OpenText OEM Solutions, can shine. By embedding ready-to-use, enterprise-grade functionality, ISVs can:

-Speed up product development
-Differentiate their offerings
-Ensure compliance and scalability and
-Unlock new market opportunities in banking, insurance, and fintech

The demand is there. The pain points are real. And the tools to help are ready.

Partner with OpenText OEM Solutions to help financial institutions navigate digital transformation—smarter, faster, and more securely. For more information, visit our website or contact us at oem_global_sales@opentext.com

The post Unlocking Opportunities in the Financial Services segment appeared first on OpenText Blogs.

Two years ago, soon after the public release of ChatGPT, I wrote about How AI is transforming digital asset management (DAM) solutions from passive to active. The advances in AI since then have been nothing short of astonishing. In 2025, the choice is not whether to use AI in DAM, it is which game-changing capability to incorporate first.  

It took at least five years for AI image analysis for descriptive metadata to start fulfilling early promises of increased productivity. In contrast, the impact of generative AI has been almost immediate, and the rate of improvement has exceeded expectations. In particular, text-to-image generation and AI-powered searching are business-ready capabilities, if they are implemented under the appropriate governance rules. 

Text to image generation 

Despite its problems when counting fingers, AI image generation is astonishingly powerful. Just describe the scene you envision and receive a high-quality image within seconds – what you say is what you get. While many organizations are hesitant to publish AI-generated images externally, they are ideal for providing inspiration for human creativity. Using OpenText™ Experience Aviator within a creative request process enables the requestor to attach AI-generated images to a creative brief. The designer understands exactly what is expected, which reduces the number of approval cycles needed to develop the final version.  

AI-powered searching 

A common question from DAM admins is how to improve users’ ability to find the right assets, particularly after migrating poorly-tagged files from a legacy system. A new way to enhance asset discovery is retrieval-augmented generation (RAG), which uses a large language model (LLM) to allow users to search using their own words, without knowledge of tagging conventions. OpenText Knowledge Discovery™ includes advanced RAG functionality that powers natural language searching in a DAM.   

Governance  

While generative AI is undeniably powerful, it isn’t without problems. Many employees are already using some form of AI in their daily tasks, but their employers want to manage the use of AI for business processes. DAM has always offered governance tools for use of assets, and that is now extended to governing the use of AI. The best DAM solutions allow admins to establish rules for the usage of AI-generated images.  

Availability  

Text-to-image generation from OpenText Experience Aviator is available in OpenText™ Digital Asset Management (previously OpenText Media Management) and OpenText™ Core DAM. AI-powered searching from OpenText Knowledge Discovery™ is available in OpenText Digital Asset Management.  Discover why OpenText was named a Leader in the IDC MarketScape: Worldwide Intelligent Digital Asset Management 2024 Vendor Assessment.

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Titanium X for OpenText™ Analytics Cloud is like your business’s GPS for data challenges, guiding you to better decisions, clearer insights, and smoother operations.

Let’s dig into all the goodies Titanium X has to offer for OpenText Analytics Cloud!

OpenText CE 23.3:  Boosting the power of your advanced analytics

AI is changing the game. From text generation to image magic, it’s everywhere—and OpenText is making sure you’re riding the wave. With CE 23.3, businesses like the Government of Canada are already reaping the benefits of smarter, faster decisions.

But wait, there’s more! OpenText Data Discovery is now integrated with cloud storage like Amazon S3 and Google Cloud, helping you dig through hidden data (think forgotten log files or old customer info) to unearth new insights.

And with next-gen OpenText Analytics Database, you're blending the best of both worlds: the power of a data warehouse + data lakehouse capabilities. A single source of truth for all your structured and unstructured data? Yes, please! 

OpenText CE 24.1: Insights so fast, it’s like magic

At OpenText, AI isn’t just a tool—it’s like giving your data a superpower. Now you can make smarter decisions with real-time insights from vast amounts of data (structured and unstructured, no less!). 

CE 24.1 ramps up OpenText Intelligence, which is now buddied with OpenText Analytics Database (Vertica) for lightning-fast analytics at a scale that would make your head spin. Your business will be running on supercharged intelligence, unlocking insights from huge data sets in mere seconds.  

OpenText CE 24.4: AI + security = Peace of mind

OpenText Thrust API in CE 24.4 is like your digital security guard for sensitive data. With OpenText™ Intelligent Classification and OpenText™ Knowledge Discovery working together, you can now track and control your sensitive info with the precision of a ninja. 

Unstructured data—like emails, contracts, and documents—can contain sensitive details, but identifying and protecting that data can be tricky. OpenText Thrust API steps in to ensure that nothing risky slips through the cracks. Whether you're in finance, healthcare, or government, this tool keeps your data safe, compliant, and secure.  

The Analytics Database also elevates security with advanced features from the OpenText Data Privacy & Protection Foundation (Voltage+), including encryption and tokenization, which are essential for protecting sensitive data. 

But that’s not all—OpenText's advanced data discovery capabilities are now seamlessly integrated with our powerful analytics database engine (Vertica)! This dynamic duo empowers users to dive into massive datasets with lightning speed, uncover hidden insights, and make data-driven decisions faster than ever before. Get ready to explore your data like never before! 

OpenText CE 25.2: Elevate your data management

Optimizing performance and ensuring resilience are key. With Kubernetes auto-scaler for OpenText Analytics Database (Vertica), you can effortlessly optimize scaling for greater performance and flexibility. Disaster recovery and business continuity are a breeze with in-database backups to other locations or the cloud. Dive deeper into your Iceberg Metastore data using REST APIs, unlocking valuable insights. Plus, enjoy more efficient storage and processing with variable- length data. 

Navigating the cloud has never been easier with our improved UI, designed for intuitive analysis. New innovations in OpenText™ Core Analytics Database now let you effortlessly create, configure, schedule, and monitor data pipelines to streamline your workflow. Ready to save time and effort? Now, you can—with auto-scaling based on CPU and memory thresholds, ensuring optimal performance. 

Also included in this release: Strengthen your security and reduce unauthorized access with CIDR configuration.  

Imagine transforming your report authoring experience with a modern, intuitive, self-service drag-and-drop interface. With Generative AI-driven conversational queries in OpenText™ Intelligence Aviator, you can gain valuable insights and make smarter decisions. Plus, embedding OpenText Intelligence Aviator into any application is a breeze using REST APIs. It's time to embrace intelligent reporting and elevate your data analysis! 

Why staying current with OpenText Analytics Cloud is a game-changer

AI and data analytics aren’t just the future—they’re the now. So why wait to catch up when you can stay ahead? Upgrading to the latest OpenText Cloud Editions gives you: 

• Smarter decision-making with AI-driven insights.  
• Less hassle, more action with faster data processing. 
• Top-notch security with tools that keep your sensitive data locked up tight. 
• Scalability to handle your growing data—no sweat. 
• Modernized look and feel (UI/UX) to enhance your productivity and faster decision- making. 

By embracing the latest in Titanium X innovations, your business can ride the wave, keep up with industry changes, and make data-driven decisions faster than ever before. Ready to level up? 

Want to see the full stories across OpenText for CE 23.1 to CE 25.2? There’s so much more to explore:

• Titanium X and OpenText Cloud Editions 25.2
• Accelerate growth with Cloud Editions (CE) 25.10
• Embrace AI Knowledge Work with Cloud Editions (CE) 24.4
• Reimagine information with Cloud Editions (CE) 24.3
• Elevate human potential with Cloud Editions (CE) 24.2
• Reimagine work with Cloud Editions 24.1
• Embrace the cognitive era with OpenText Cloud Editions (CE) 23.4
• Achieve Digital Success with OpenText Cloud Editions (CE) 23.3
• Announcing OpenText Cloud Editions (CE) 23.2
• Work Smarter with OpenText Cloud Editions 23.1

• Check out Titanium X guided tours and demos 
• Don’t get left behind. We make modernizing easy. Contact us to help plan your upgrade
• Need help upgrading?  OpenText Professional Services can help
• Want to see more? Schedule a demo 

The post Titanium X unlocks AI-powered insights in OpenText Analytics Cloud appeared first on OpenText Blogs.

Rapidly growing legal workloads are becoming hard to manage. The demand for legal services is expanding. The sheer volume, variety and complexity of data is making it difficult for legal professionals to support litigation and investigation activities and simultaneously govern their legal content and work product.   

Enter OpenText and its Legal Tech solutions – and, next week, Legalweek New York. 

OpenText will showcase its industry-leading, AI-powered eDiscovery solution at the annual event, where today’s legal leaders will gather and seek ways to identify and deliver necessary innovation.  

OpenText partners with some of the world’s leading enterprises and global law firms to address these challenges to improve business outcomes and deliver service excellence. Recognized as an eDiscovery leader in the 2024 GigaOm E-Discovery Radar Report, and with over two decades of market leadership, OpenText offers a composable and intelligent Smart Legal Platform that delivers unmatched AI-powered software and best-in-class services to support the end-to-end needs of law departments and law firms.  

Those offerings help OpenText customers:  

• Uncover facts rapidly to improve legal outcomes for litigation and investigations 

• Automate workflows and processes to improve the quality and accuracy of legal activities and mitigate risk  

• Accelerate document review with analytics and generative AI (GenAI) as well as leveraging other capabilities and services for end-to-end eDiscovery support 

OpenText also offers the latest in GenAI capabilities. OpenText™ eDiscovery Aviator enables customers to improve speed to facts for investigations and enhance eDiscovery document review planning and review activities.   

OpenText also offers best-in-class services that support and expand the coverage of legal and investigation teams. Those services include:  

• Digital forensics and collections, through which OpenText defensibly gathers and forensically preserves and investigates evidence  

• Managed review, through which highly trained and technically skilled OpenText attorneys support document review for scale, speed and efficiency 

• Investigations service, which enables customers to gain rapid insight into data for swift investigation and reporting  

“Growing competition and client demands, paired with regulatory complexity, are driving legal professionals to seek ways to increase productivity, optimize budgets and improve their service offerings,” said Savinay Berry, OpenText Executive Vice President and Chief Product Officer. “AI and GenAI are true disruptors in this space, and OpenText is mobilizing its leading AI-driven eDiscovery solutions to enable its legal customers to meet those challenges.” 

The post OpenText to Showcase AI-powered eDiscovery Innovation at Legalweek New York appeared first on OpenText Blogs.

The retail and Consumer Packaged Goods (CPG) industries are experiencing a profound technological metamorphosis, driven by rapid digital innovation, changing consumer expectations, and the need for operational efficiency.

As we navigate through 2025, five groundbreaking technological trends are fundamentally reimagining how businesses engage with consumers, manage supply chains, and create value. 

Artificial intelligence and predictive analytics: The new competitive advantage 

Artificial intelligence (AI) has evolved from a buzzword to a critical strategic tool for retail and CPG companies. In 2025, AI-driven predictive analytics are no longer optional but essential for survival in a hyper-competitive marketplace. 

Advanced machine learning algorithms now enable businesses to predict consumer behavior with unprecedented accuracy. By analyzing vast datasets encompassing purchase history, social media interactions, demographic information, and real-time market signals, companies can create highly personalized marketing strategies and product recommendations. 

For CPG brands, AI is revolutionizing product development. Companies are using predictive models to anticipate emerging consumer preferences, design products that meet precise market needs, and optimize pricing strategies in real-time. Retail giants are deploying AI to manage inventory with remarkable precision, reducing waste and minimizing stockout scenarios. 

Immersive augmented and virtual reality experiences 

The boundary between physical and digital shopping experiences has become increasingly blurred, with Augmented Reality (AR) and Virtual Reality (VR) technologies leading this transformation. In 2025, these technologies are no longer novelties but integral components of retail and CPG marketing strategies. 

AR-enabled mobile applications allow consumers to virtually "try on" clothing, visualize furniture in their homes, or see how cosmetic products might look on their skin. CPG brands are using AR to provide interactive product packaging, enabling consumers to access detailed product information, ingredient sourcing, and sustainability credentials with a simple smartphone scan. 

Virtual reality experiences are creating immersive brand storytelling platforms. Consumers can now take virtual factory tours, understand product manufacturing processes, and connect with brands on a deeper, more experiential level. 

Sustainability tech: From buzzword to business imperative 

Sustainability technology has transitioned from a marketing differentiator to a fundamental business requirement. In 2025, consumers demand transparency, and technology is the primary mechanism for delivering authentic sustainability credentials. 

Blockchain technology is now standard for supply chain traceability. Consumers can track a product's entire journey—from raw material sourcing to manufacturing and distribution—ensuring ethical and environmentally responsible practices. IoT (Internet of Things) sensors enable real-time monitoring of carbon emissions, waste reduction, and energy consumption across global supply chains. 

Advanced recycling technologies and circular economy platforms are helping CPG companies redesign packaging, minimize environmental impact, and create closed-loop product lifecycle systems. Smart packaging with embedded sensors can now communicate product freshness, reduce food waste, and provide precise recycling instructions. 

Hyper-personalized omnichannel experiences 

The omnichannel strategy has matured into a sophisticated, data-driven approach that seamlessly integrates online and offline experiences. In 2025, technology enables truly personalized consumer journeys that adapt in real-time to individual preferences and behaviors. 

Advanced customer data platforms consolidate information from multiple touchpoints—e-commerce platforms, mobile apps, in-store interactions, and social media—to create comprehensive consumer profiles. Machine learning algorithms then utilize these profiles to deliver contextually relevant experiences across every interaction point. 

For retail and CPG companies, this means dynamic pricing, personalized promotions, and product recommendations that feel intuitive rather than algorithmic. Conversational AI and advanced chatbots provide instant, context-aware customer support that rivals human interaction. 

Edge computing and 5G: Enabling real-time retail intelligence 

The convergence of edge computing and 5G networks is unlocking unprecedented capabilities for retail and CPG businesses. These technologies enable real-time data processing, low-latency interactions, and sophisticated in-store and digital experiences. 

Smart retail spaces equipped with edge computing can now track customer movements, analyze shopping behaviors, and optimize store layouts instantaneously. Computer vision technologies powered by 5G can monitor inventory levels, detect theft, and provide seamless checkout experiences. 

For CPG brands, edge computing enables sophisticated quality control mechanisms. Sensors can detect microscopic variations in product quality, ensuring consistent standards across global manufacturing facilities. Real-time logistics tracking allows for dynamic route optimization and precise delivery estimations. 

Adaptive innovation is the new competitive landscape 

The technological trends of 2025 demonstrate that success in retail and CPG industries is no longer about implementing individual technologies but creating adaptive, interconnected ecosystems. Companies must view technology not as a tool but as a fundamental approach to understanding and serving consumers. 

The most successful organizations will be those that can integrate these technologies holistically, maintain agile innovation frameworks, and continuously reimagine their relationship with consumers. As technology continues to evolve at an exponential pace, the only constant will be change itself. 

Are you ready to learn more?

At OpenText, we will spend 2025 continuing to focus on meeting the supply chain, sustainability, and customer engagement requirements of our customers - including AI. Learn more about how OpenText solutions for consumer goods and retail industries can help you overcome your challenges.

The post The top 5 trends transforming retail and CPG in 2025  appeared first on OpenText Blogs.

The health and life sciences industry stands on the cusp of a technological revolution, with innovative technologies poised to fundamentally transform healthcare delivery, research, and patient outcomes. As we move through 2025, five groundbreaking technological trends are emerging as game-changers, promising to reshape how we understand, prevent, and treat diseases. 

Artificial intelligence and predictive healthcare 

Artificial intelligence (AI) has evolved from a promising concept to a critical tool in healthcare, moving far beyond simple diagnostic support. In 2025, AI-driven predictive healthcare has become a cornerstone of medical innovation, offering unprecedented insights into individual health trajectories. 

Machine learning algorithms now analyze complex datasets from genetic profiles, wearable devices, electronic health records, and environmental factors to create comprehensive health risk assessments. These advanced predictive models can forecast an individual's likelihood of developing specific conditions years before traditional diagnostic methods would detect them. 

Healthcare providers are using AI-powered platforms that can: 

• Predict potential disease onset with remarkable accuracy
• Recommend personalized preventative interventions
• Develop tailored treatment plans based on an individual's unique genetic makeup
• Continuously monitor and adjust healthcare strategies in real-time 

Advanced precision medicine and genomic engineering 

Precision medicine has transitioned from an experimental approach to a standard practice, driven by remarkable advances in genomic engineering and CRISPR technologies. The ability to precisely edit genetic codes has opened up revolutionary treatment possibilities for previously untreatable genetic disorders. 

Personalized medicine now goes beyond simply understanding an individual's genetic predispositions. Therapeutic interventions can be designed to: 

• Correct genetic mutations at their source
• Develop targeted therapies that work specifically with a patient's genetic profile
• Create customized treatment plans with minimal side effects
• Potentially reverse or prevent the progression of inherited diseases 

Biotech companies are developing increasingly sophisticated gene therapies that can be administered with minimal invasiveness, often through targeted molecular treatments that can be delivered via advanced nanoparticle technologies. 

Immersive telemedicine and extended reality healthcare 

The telemedicine revolution initiated during the global pandemic has evolved into a sophisticated, immersive healthcare ecosystem. Extended reality (XR) technologies, including augmented reality (AR) and virtual reality (VR), have transformed remote medical consultations and patient care. 

Surgeons can now perform complex procedures using haptic feedback robotic systems controlled remotely, while patients can receive comprehensive medical consultations through hyper-realistic virtual environments. These technologies have been particularly transformative in: 

• Providing specialized medical care to rural and underserved regions
• Enabling complex surgical training through realistic simulations
• Offering mental health support through immersive therapeutic experiences
• Rehabilitation and physical therapy programs with real-time progress tracking 

The integration of AI with XR technologies allows for more nuanced and responsive medical interactions, creating a more empathetic and personalized healthcare experience. 

Internet of medical things and continuous health monitoring 

The Internet of Medical Things (IoMT) has matured into a robust, interconnected ecosystem of smart medical devices that provide continuous, non-invasive health monitoring. Wearable and implantable devices now offer real-time, comprehensive health insights that go far beyond simple fitness tracking. 

These advanced devices can:

• Monitor multiple physiological parameters simultaneously
• Detect early warning signs of potential health issues
• Automatically transmit data to healthcare providers
• Integrate with AI systems for instant analysis and intervention recommendations 

Biosensors have become incredibly sophisticated, capable of detecting molecular-level changes in the body. Patients with chronic conditions can now receive proactive, predictive healthcare that prevents complications before they arise. 

Sustainable and regenerative biotechnologies 

Sustainability has become a crucial focus in biotechnology, with researchers developing innovative solutions that not only treat diseases but also contribute to environmental and human health restoration. 

Breakthrough technologies in this domain include:

• Biodegradable medical implants that naturally integrate with human tissue
• Regenerative therapies that can repair or replace damaged organs
• Sustainable production of medical treatments with minimal environmental impact
• Bioengineered solutions for addressing climate-related health challenges 

Researchers are exploring how biotechnology can create closed-loop medical systems that minimize waste, reduce environmental burden, and provide more holistic healthcare solutions. 

2025: A transformative healthcare landscape 

As we progress through 2025, these technological trends are not just improving healthcare they are fundamentally reimagining our approach to human health. The convergence of AI, genomics, immersive technologies, continuous monitoring, and sustainable biotechnologies promises a future where healthcare is predictive, personalized, and proactively oriented toward maintaining wellness. 

The most exciting aspect of these innovations is not just their individual potential, but how they synergistically interact, creating a holistic, integrated approach to human health that was unimaginable just a decade ago. 

Are you ready to learn more?

Learn more about how OpenText solutions for healthcare can help you address challenges in your organization.

The post Revolutionizing healthcare in 2025: From AI to telemedicine appeared first on OpenText Blogs.