As a leader in professional services, I’ve seen first-hand the challenges that organizations face when they need to modernize their information management systems. Many are hesitant to commit to a full-scale upgrade, often due to concerns about cost and the potential for business disruption. Our research at OpenText™ confirms this, with 58% of customers citing cost and budget constraints as the main reason for not modernizing, while 37% worry about complexity and disruption. However, upgrading is crucial for several reasons: It allows you to integrate new features to replace legacy customizations, optimize performance and scalability, and implement benefits from cloud-native functionality. Modernization also makes it possible to leverage new capabilities, such as AI and automation, which can drive growth and efficiency.
Enusure a successful modernization journey
At OpenText Professional Services, we believe that the right partner can make all the difference. We focus on three key pillars to ensure a successful modernization journey:
Business acumen: We help you prioritize your modernization efforts based on value, business opportunities, and operational risk. Our outcome-focused packages and experienced staff are designed to deliver efficient solutions with low risk.
Strategic know-how: We bring extensive experience in shaping modernization strategies. Our experts will work with you to identify priority areas, assess dependencies, and sequence initiatives for maximum impact.
Technical mastery: Our team possesses leading technical expertise in modernization best practices, including architectural design and automated tools to accelerate the process.
Where to start
For those who are unsure about where to begin, we recommend our Cloud Readiness or Upgrade Assessment FasTraks as a perfect starting point. These are low-cost, fixed-fee engagements that take place over a well-defined four-week period. An assessment delivers a compelling and insightful modernization plan that simplifies and improves the scoping and delivery of any future efforts with a focus on managing cost and limiting business disruption.
Upgrade Assessment FasTrak: This package analyzes your current system configuration and component availability. It provides a strategy for managing complexity, a high-level upgrade path, and recommendations aligned with your business case.
Cloud Readiness Assessment FasTrak: This offers strategic planning for cloud adoption, including architecture and integration design, data migration logistics, and a high-level migration plan.
When you’re ready to move forward, our ‘Modernize In-Place’ upgrade projects provide a structured, vendor-led delivery with a proven methodology for complex upgrades. We will also lead you through the removal of customizations, which simplifies future upgrades and facilitates the adoption of critical features. Similarly, our ‘Move & Modernize’ Migration Projects enable a simultaneous upgrade and cloud migration. This approach allows you to implement cloud-native benefits and functionality while embracing the latest innovations such as AI and automation.
Partner for success
By partnering with OpenText Professional Services, you can be confident that you are not only doing it right the first time but also going live faster and realizing new value sooner, all while mitigating user adoption and customer acceptance risks. As one customer, a representative from a global clothing manufacturer, put it after a positive experience with the OpenText Earn Your Wings program, they’re “looking forward to taking the next step on our AI journey with OpenText“.
OpenText Analytics Database CE 25.4: Accelerating AI and analytics at scale
Power your data with AI-ready performance, intelligent tuning, and modern cloud-native efficiency
AI and analytics have become the engines of competitive advantage—but legacy databases, manual tuning, and data sprawl across SaaS warehouses still slow progress.
The OpenText™ Analytics Database (Vertica) CE 25.4 release is designed for enterprises that demand speed, scale, and simplicity. This release delivers AI-ready analytics, self-optimizing performance, and seamless modernization paths to high-performance data infrastructure.
Whether you’re modernizing from older versions or preparing for AI-driven workloads, CE 25.4 ensures your data platform keeps pace with your business ambitions.
Why upgrade to OpenText Analytics Database CE 25.4?
Staying on earlier versions (CE 25.3 or older) risks maintaining status quo analytics—slower insights, higher operational overhead, and limited scalability—while competitors accelerate their AI innovation.
Upgrading to CE 25.4 unlocks a modern, efficient, and intelligent database foundation that enables:
Faster, smarter insights – Achieve higher query throughput and lower latency across massive datasets.
Automated performance tuning – Leverage built-in auto-tuning to optimize workloads and free engineering time.
Accelerated AI productization – Bring models to production faster with in-database VectorOps and high-performance analytics.
Unified open data access – Analyze external datasets instantly with Apache Iceberg integration, without duplication or migration.
Modernized infrastructure – Deploy flexibly with Kubernetes and compute-only nodes for cloud-native scalability.
CE 25.4 is not just an update—it’s your bridge to a modern, AI-driven data architecture.
What’s new in OpenText Analytics Database CE 25.4
1. Accelerated performance and AI readiness
Faster queries. Smarter computation. Ready for the AI era.
Vectorops for AI/ML: Execute high-performance in-database vector operations to accelerate AI and machine learning workloads.
Packed VL data optimization: Improve query performance and processing efficiency across massive, complex datasets.
2. Intelligent auto-tuning
Make your database smarter so your teams can focus on innovation, not maintenance.
Built-in auto-tuning: Automatically optimize performance based on workload characteristics.
Reduced manual effort: Eliminate tedious tuning tasks and empower engineers to focus on building value-driven data products.
3. Modern, cloud-native infrastructure
Evolve confidently toward hybrid or cloud-native environments.
Kubernetes support: Deploy and scale flexibly with full Kubernetes support for containerized, automated management.
Compute-only nodes: Separate compute and storage for greater elasticity and cost efficiency.
Smooth upgrade path: Modernized architecture ensures upgrades with minimal disruption.
4. Seamless external data access
Eliminate data silos and accelerate analytics without duplication.
Apache Iceberg integration: Query large-scale external data directly—no migration, no copies.
Unified analytics: Gain a single view across internal and external data sources for faster, more informed decisions.
Building a smarter path to AI and analytics
Upgrading to OpenText Analytics Database (Vertica) CE 25.4 ensures your data environment is ready for what’s next—AI-driven intelligence, massive data growth, and continuous modernization.
Customers currently on versions CE 25.3 or earlier can access the CE 25.4 Upgrade & Migration Kit to plan their modernization journey, whether moving to EON Mode or Kubernetes for cloud-native scalability.
Upgrade to CE 25.4 and turn your data into your fastest competitive advantage.
The newest version of OpenText Vertica 24.1 (representing the first quarter of 2024) is all about saving operating costs while boosting value. The star in this release is an extraordinary new capability – workload routing. It makes each job more efficient and performant, decreasing spending and energy usage for each type of work by directing it to ideal hardware automatically. Read on to learn more or request a demo of the OpenText Analytics & AI platform today.
3x to 5x your ROI with workload routing
We estimate you will see an increase in Vertica analytics ROI between 3X and 5X by aligning workloads with ideally provisioned subclusters. If you do more than one thing with Vertica, such as power dashboards, do ad hoc business intelligence (BI) queries, run data ingestion and preparation (ELT) pipelines, train or infer with machine learning (ML) models, etc., you’ll see a significant advantage in this new version.
Current versions of Vertica allow you to assign ideal hardware to each subcluster. For example, large, more memory-rich nodes or instances for ML workloads, many small nodes to feed hundreds of concurrent users on dashboards, etc. The existing capability to spin up and down containers and assign compute resources as needed with Kubernetes also ties into this new feature. To use workload routing, grant certain types of workloads to roles such as ML, for example, and a user with that role sends the work to any designated Vertica node. The work is routed directly to the subcluster designated to have ideal hardware for ML workloads. If necessary, ideal instances for that job can even be spun up with Kubernetes then spun down again automatically when the job is complete.
Advantages of workload routing:
Automation – no human intervention is needed once it is set up.
Flexibility – do multiple different kinds of analytics work – ELT, ML/AI, ad hoc BI, drive applications, power dashboards – each on the ideal compute infrastructure for that workload.
Efficiency – do far more work while spending far less on computing infrastructure, reducing energy usage, carbon footprint, and costs.
This isn’t the only great new feature in OpenText Vertica 24.1, but we’re excited to triple the ROI of our analytics customers!
Two other exciting new features in this release
Vertica data loader – Get new data in minutes automatically. Import data exactly once in configurable micro-batches as it’s dropped in an S3-compatible staging area. No need to manually execute copy commands or design a script to do that. Data pipelines become first-class citizens, saved in the database like tables or machine learning models.
API-based control and monitoring – When using Vertica embedded in another application, fully control the database with no dependency on Vertica’s admin tools utility or SSH. Use any software, not just Kubernetes, to programmatically control Vertica from an API with improved feedback and performance. Also, manage infrastructure closer to workload demands to save costs.
This release contains several months of work and a lot of changes. The first change you’ll notice is the versioning system. The last Vertica release was 12.0.4, so you might have expected this to be version 13. However, OpenText releases are timed to one per quarter every year, and they’re numbered according to the year and quarter — hence this is OpenText™ Vertica™ release is 23.3, re[resemtomg the 3rd quarter of 2023. You’ll also notice Management Console and other visual aspects of Vertica have changed color and logo to reflect our new company and brand.
Beyond the cosmetics, and even beyond all the improvements you expect in performance, security, and the rest provided in every release of Vertica, major new features now allow you to:
Re-shard your Vertica database whenever you need to as data and workloads change.
Save snapshots of the database at moments in time that you can revert to as needed, without overburdening your storage budget with multiple copies of the same data.
Automate routing of workloads to the node or sub-cluster that makes the most sense for that type of work.
Start doing machine learning (ML) workflows with Vertica easily with new VerticaPyLab with all dependencies, examples, and lessons in a single installation with an easy-to-use JupyterLab interface.
Most notably, with the addition of read and analysis capabilities on external data using Apache Iceberg as the semantic layer, Vertica is now a fully functional data lakehouse. In past versions, Vertica unified business intelligence, machine learning, and other types of advanced analytics like geospatial, event pattern, and time series data analysis into a single point of contact for any analytics. Vertica also gave you the ability to analyze any data, from structured data in our own ROS format, to semi-structured and complex data in external data lake formats like Parquet, JSON, and ORC.
OpenText Vertica data lakehouse with Apache Iceberg Integration.
Analyzing this data with OpenText Vertica, through the Apache Iceberg metadata layer, gives you the advantage of ACID compliance and rapid findability of that data in the lake. Vertica lets you analyze even complex data through Iceberg quickly, even if another application altered it since the last analysis, even adding or removing columns or changing data types. Vertica’s focus on performance at scale has provided several ways to optimize queries on data lake data. Each release will bring that performance closer and closer to the equivalent blazing speed you expect from querying internal Vertica ROS data.
Vertica’s smarter data lakehouse removes the limits from analytics
It lets you analyze your data lake at the speed and concurrency you’re accustomed to in a data warehouse. Here are some things you can now do with OpenText Vertica 23.3:
Start using Vertica machine learning easily with new VerticaPyLab
New fast install of VerticaPy with all dependencies at once, and an easy JupyterLab interface for choosing applications, examples, data science lessons, etc.
Authenticate new users with just-in-time provisioning via OAuth2.0
The organization’s OAuth2 identity verification will add a new Vertica user with specified role(s) on the fly saving dbadmins a great deal of time. When a person logs in to Vertica via their preconfigured SSO OAuth token, there’s no need to create user accounts or grant roles manually. Also, OAuth users who have not used Vertica in a while are automatically removed.
Use less memory and reduce resource queues with multi-party query plans
OpenText Vertica now breaks long-running queries into parts and allocates only the memory and compute resources needed to execute the largest part of a multi-part plan. Any unused resources within the allocated block are used to optimize the query further, so the query executes faster overall.
Start large clusters faster using HTTPS instead of SSH
Use thin Golang clients, Cluster Operations Library (vclusterops) and vcluster.exe, which decouple the Kubernetes operator from the details of the cluster operations, and creates databases, especially large databases, faster than admin tools. Many functionalities including administration operations that were formerly only available in admintools via SSH are now in the Vertica server itself, so you can use them via HTTPS instead of SSH. No special client needs to be installed. It is all handled via the NMA (Node Management Agent.)
Automate multi-step database maintenance and ML pipelines
Automate multi-step database maintenance or machine learning pipelines or ML model retraining when a threshold of declined accuracy is reached. Stored procedures can now call meta-functions and nested stored procedures up to a call depth of 100, and session parameter changes made by stored procedure now persist after the procedure has completed.
Run Management Console (MC) in Linux with ADO.net Core support
Use less expensive Linux cloud instances, rather than being required to use a Windows instance for MC.
Dynamically control hardware/nodes/instances for different purposes with workload routing
Admins can create rules that route the execution of queries coming from clients with a particular workload to a separate subcluster, de-coupling connection from execution, client can connect to one node, execute on a different set of nodes. Clients can set a workload name by adding a workload parameter to their connection string or with SQL syntax post connection.
Revive to a previous state by saving “restore points,” a snapshot of the database at a point in time
(Eon Mode only) – Store a copy of the catalog and any changed data, not a full extra copy of data direct from the database server. VBR (Vertica Backup and Restoration tool) is not required.
And this just scratches the surface of the many improvements in this latest version of Vertica.
Get a personalized demo of the full, composable OpenText Analytics and AI platform, or just the solutions of most interest to you. Discover everything you need for your AI transformation—from unstructured analytics and data lakehouse to BI, reporting, automation, and search. Book a demo today!
We’ve given you the top 5 reasons to come to OpenText World 2025 November 17-20 in Nashville, but now we’re adding 2 more: An impressive array of customer speakers and a long list of breakout sessions that offers something for everyone.
One of the most valuable aspects of attending an industry conference is hearing from peers who have similar business challenges about how they overcame them. While the visionary keynotes are exciting and the product demos are filled with innovation, it’s the stories you hear from other customers that will stay with you long after the event.
That’s why we’ve lined up more than 20 customer speakers to take the stage at OpenText World 2025 and talk about their experiences. These customers represent organizations in key industries—energy, legal, public service, retail, healthcare, and more—and are using OpenText™ secure information management for AI software to overcome hurdles and reach business goals.
OpenText World 2025: Elevate together
Join us in Nashville November 17-20 for 3 days of AI innovation, bold ideas, visionary speakers, and great music, of course. C’mon, let’s go!
Here are a few of the customers lined up to speak at OpenText World 2025 next month:
Shyam Pitchaimuthu, Principal Architect, Workflow Enablement, IT Operations and Foundation, Chevron
Andrew Kent, Director, Litigation Support, Pillsbury Winthrop Shaw Pittman
Jennifer Harrell and Jaya Raman, eDiscovery Managers, Siemens Energy, Inc.
Aditya Panwar, Automation Lead, United Airlines
Neda Khan, Manager, Enterprise Document Applications, Harris County Information Services
Denise Hemmert, VP, Enterprise Enablement Services, Cardinal Health
Of course, you’ll also have the opportunity to connect with other customers on the expo floor, during breakouts, and at networking events. So come to OpenText World and discover how others in your industry or line of business are using our software to succeed.
Did we mention the sessions?
In addition to networking and learning from fellow customers, OpenText World 2025 offers plenty of chances to deepen your understanding of the software you’re using and find out about solutions you’re not. Turbo talks, industry forums, customer roundtables, developer labs, technical sessions, business-unit keynotes—we’ve got more than 150 breakouts to educate, enrich, and inform.
Visit our OpenText World 2025 website, where you can create a tailored agenda to meet your needs. You can filter by area of interest, session type, or role ,and even share your agenda with coworkers.
Register today and join us at OpenText World, where the OpenText community gets together to learn, connect, and grow.
October is Cybersecurity Awareness Month—a global moment to refocus on security-first thinking and resilience. For CISOs and AppSec leaders, it’s a timely reminder that true cyber defense doesn’t start after deployment or during incident response. It starts earlier—right in the build phase.
The CISO’s dilemma
CISOs and application security leaders are under constant pressure. Attack surfaces keep expanding with APIs, mobile apps, and AI-assisted development multiplying potential entry points (Gartner CISO Guide). At the same time, regulatory expectations are rising—demanding not just proof that vulnerabilities are fixed, but that they’re fixed fast and consistently.
And then there’s the backlog. Thousands of unresolved vulnerabilities pile up across releases, slowing velocity and straining relationships between security and development teams. It’s a familiar friction point—and one that undermines both risk management and confidence in AppSec maturity.
Late-stage security testing simply isn’t sustainable. The longer vulnerabilities linger, the more expensive they are to fix, the more they delay releases, and the more risk they introduce. The real goal isn’t just to manage the backlog—it’s to prevent it from forming in the first place.
The true cost of late fixes
Post-production fixes can cost up to ten times more than those made during coding or build. During Cybersecurity Awareness Month, it’s worth reframing that number—not just as a statistic, but as a clear call to action.
When vulnerabilities are discovered late, they drain:
Developer productivity: Revisiting old code disrupts focus and velocity.
Operations: Emergency patching eats into resources and increases downtime risk.
Customer trust: Vulnerabilities in production aren’t just bugs; they’re potential breaches.
By shifting remediation into the build phase, teams can cut these costs, accelerate delivery, and improve their overall security posture—proving that resilience and innovation don’t have to be at odds.
From reactive to proactive risk reduction
A backlog isn’t just a workload issue—it’s a risk issue. Every unresolved high-severity vulnerability represents a potential breach, compliance failure, or reputational threat.
Build-phase security turns that risk equation on its head. With Backlogs are more than a resource problem. They are a risk problem. Every unresolved critical or high-severity vulnerability represents a potential breach, compliance failure, or reputational crisis.
OpenText™ SAST,DAST, and SCA integrated directly into CI/CD pipelines, organizations can stop vulnerabilities before they ever reach production—catching:
Injection flaws in custom code
Insecure open-source dependencies
API misconfigurations
Secrets and IaC weaknesses
The results speak for themselves: fewer exploitable issues in production, smaller attack surfaces, and tangible proof of reduced enterprise risk. For boards asking, “How do we know we’re safer this quarter than last?”—this is how.
The compliance advantage
Regulatory compliance has evolved from checkbox exercise to continuous proof of secure development practices. Frameworks like GDPR, PCI DSS, and sector-specific mandates expect security to be baked into the build.
Filter out false positives with human-level accuracy.
Receive contextual, plain-language explanations of vulnerabilities.
Get instant remediation guidance for true positives.
The result? Developers fix faster and with more confidence. AppSec teams handle higher volumes without burnout. Productivity and ROI both rise.
Breaking through the backlog
To move from backlog to breakthrough, leading organizations take these steps:
Integrate security early by embedding OpenText SAST, DAST, and SCA directly into CI/CD workflows.
Define stop-build policies by setting clear thresholds for critical vulnerabilities and enforcing them automatically.
Enable developers through contextual remediation guidance and ongoing secure coding education.
Measure outcomes by tracking time-to-remediate, pre-release fix rates, and compliance pass percentages.
Continuously improve by using OpenText ASPM dashboards and analytics to refine priorities and demonstrate ROI.
The leadership mandate
Application security can’t remain an afterthought or a siloed program. It must evolve into an enabler of innovation and a measurable driver of risk reduction.
By addressing vulnerabilities in the build phase, CISOs achieve:
Financial gains: Lower remediation costs and faster ROI.
Risk reduction: Fewer vulnerabilities in production and fewer compliance headaches.
Regulatory confidence: Continuous, auditable assurance for regulators and customers alike.
From backlog to breakthrough: A call to action
The old model—letting vulnerabilities pile up and trusting teams to catch up—no longer works. The backlog isn’t just a technical burden; it’s a business risk.
This Cybersecurity Awareness Month, it’s time to redefine resilience. By fixing vulnerabilities in the build phase, organizations can move from reactive firefighting to proactive defense. They can transform AppSec from a cost center into a value engine—one that protects innovation while proving measurable impact to the business.
The breakthrough is here:
Fix it in build. Stop vulnerabilities before they ever become business problems.
Software teams are caught in an impossible bind: deliver faster without breaking anything. While development cycles have compressed from months to weeks—sometimes days—testing remains stubbornly manual, creating dangerous bottlenecks that force teams to choose between speed and quality. Yet enterprises can’t afford to ship broken software in today’s always-on economy. That’s why we’re excited to announce that OpenText™ has been named a Leader in the 2025 Gartner Magic Quadrant for AI-Augmented Software Testing Tools—recognition that we believe strengthens our drive to make intelligent, automated testing the norm, not the exception.
In the report, Gartner defines AI-augmented software testing tools as “tools that provide fully integrated and orchestrated capabilities to enable continuous, self-optimizing and highly autonomous testing in the software development life cycle (SDLC) through the use of AI.”
In our opinion, this recognition underscores what our customers already know: OpenText DevOps Cloud brings intelligence, automation, and scale to every phase of the software delivery lifecycle.
Gartner, Magic Quadrant for AI-Augmented Software Testing Tools, Joachim Herschmann, Sushant Singhal, Ross Power, C.A. Swan, Published 6 October 2025
Why it matters
Fragmented toolchains and manual testing approaches simply can’t keep pace with modern demands. Development teams face
Release delays from test bottlenecks.
Escalating complexity across hybrid environments.
Compliance pressures in regulated industries.
Resource shortages in skilled automation engineering.
OpenText DevOps Cloud addresses these challenges head-on by combining AI-powered test automation, quality governance, and performance engineering in one platform. Instead of stitching together point tools, enterprises gain an integrated system of intelligence that accelerates delivery and strengthens trust in every release.
How OpenText advances
OpenText DevOps Cloud is built on a simple premise: unify quality, security, and velocity across the SDLC. What sets us apart isn’t just another testing tool—it’s how we’ve reimagined the entire approach to software quality.
AI-infused testing at scale
Manual testing is a relic of the past. Our platform converts legacy test suites into resilient automation, generates scripts directly from video recordings, and uses AI-powered analysis to detect failures before they reach production. The result? Testing that actually accelerates delivery instead of blocking it.
End-to-end platform integration
Enterprise toolchains are complex by necessity. Rather than force organizations to rip and replace, OpenText seamlessly integrates with 250+ existing tools—from development environments like Jira and GitHub to enterprise systems like Jenkins, SAP, and ServiceNow.
Enterprise-ready security and compliance
Compliance shouldn’t slow innovation to a crawl. Built-in DevSecOps capabilities ensure regulatory requirements—HIPAA, GDPR, PCI-DSS, ISO 26262, and more—are met automatically throughout the development process.
Global scale and flexibility
Whether your infrastructure is SaaS, on-premises, or hybrid, OpenText adapts to your environment rather than forcing you to adapt to ours. This flexibility helps enterprises test and deliver software at true enterprise scale.
Actionable insights that predict the future
Why react to problems when you can prevent them? Predictive analytics, delivery forecasting, and AI-powered risk prediction help teams identify issues before they impact customers, optimize performance proactively, and consistently exceed SLAs.
Kellanova, the global food giant behind brands like Pringles and Special K, uses OpenText Core Software Delivery Management to unify testing across agile and waterfall projects, boosting productivity and ensuring global reliability.
DATEV eG, one of Europe’s largest cloud services providers, scaled performance testing 17x with OpenText Core Performance Engineering, improving both developer experience and customer satisfaction.
These success stories reinforce why OpenText is uniquely positioned to help organizations turn testing from a bottleneck into a competitive advantage.
Looking ahead
Being named a Leader in the Gartner Magic Quadrant for AI-Augmented Software Testing is more than recognition—we believe it’s validation of our platform vision. In our opinion, OpenText DevOps Cloud enables enterprises to
Accelerate transformation with AI-powered automation.
Reduce risk through built-in quality and compliance.
Deliver secure, high-quality software releases faster and with confidence.
As enterprises continue to embrace AI-augmented delivery, OpenText remains committed to innovating at the intersection of speed, quality, and trust. The future of testing isn’t manual. It’s intelligent, automated, and enterprise-ready. And OpenText is proud to be involved in the movement.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
AI is suddenly everywhere – and so is the hype. But here’s what many vendors don’t mention: most of your business content is unstructured, and therefore hard for AI to use. Gartner estimates that “70% to 80% of digital information within organizations is unstructured data, such as files, content, and documents. The quality of this information is critical for GenAI to produce accurate responses[i].” If your data isn’t centralized, organized, or searchable, you will struggle to get valuable results.
AI is not just everywhere – it’s critical to being competitive. A Foundry survey commissioned by OpenText found that 81% of organizations are already using GenAI in some form[ii]. This is a clear signal that the market is moving fast. Whether or not you’re ready to embrace GenAI, your competitors probably already are. So how can organizations quickly get started using AI tools, while ensuring they are set up to generate meaningful results? Choosing AI content management – cloud content management software with integrated GenAI – is an ideal place to start.
Smarter content = Smarter GenAI
Using public chatbots may seem like the simplest approach, but they aren’t safe or effective for getting daily work done. Generating responses often requires sharing critical content and details about your business. If the content uploaded is incomplete, outdated or in the wrong format, results are likely unreliable, and may even be biased or hallucinated. Worse, uploading your content to a public website likely violates corporate policies or regulatory requirements and compromises data security. The GenAI provider may even train on the data you uploaded for future use.
Choosing an AI tool that’s embedded in your cloud content management platform is more secure: It prevents external access to your data and ensures that responses delivered by GenAI are based on content the user has permission to access. Embedded GenAI also delivers more accurate and valuable results for two reasons. First, well-managed content eliminates duplicate data, ensuring you are searching only up-to-date records. Second, embedded GenAI relies only on the data your organization provides. The OpenText Content Aviator AI content assistant is built to accelerate tasks like content discovery, summarization, and translation with chat-based conversational search by leveraging the content in OpenText content management platforms.
SaaS makes it easy to get started
If your organization is like most, you have information stored in multiple repositories, and you rely on multiple business applications day-to-day. You may even be relying on legacy applications or paper-based processes. Disconnected content silos are a major barrier to GenAI. If you’re ready to explore GenAI but unsure where to start, here’s how choosing an intelligent SaaS content management platform can help:
Get started fast: With rapid provisioning and no infrastructure to implement, your team gets immediate access to a secure, AI-ready platform.
Don’t start from scratch: With ready-to-use configurations available out of the box, you don’t need to customize the platform. Instead, you can easily tailor your solution to your use case with workspace, workflow, and folder structure templates.
Always current means always AI ready: Choosing SaaS means you’re always on the latest version, so you’ll automatically get access to the latest GenAI capabilities, with no manual updates or version conflicts. As AI evolves, so does your platform.
Explore GenAI without rebuilding your tech stack
Whether you’re already embracing GenAI or still exploring options, choosing an intelligent SaaS content management platform can help you move forward on your AI journey.
Explore a trial: The OpenText Core Content Management trial lets you try GenAI-powered SaaS content management with your team for 30 days free.
Start with a single line of business: Invite departmental users to experiment with a single use case or implement a POC. Incremental wins help build buy-in and momentum to scale the solution across the organization.
Look for a content management solution that offers GenAI included, so there’s no need for additional investment to get AI-ready. Content Aviator is included in all OpenText Core Content Management plans out of the box.
SaaS makes scaling simple: With no infrastructure to implement, it’s easy to expand your use of GenAI across departments and use cases when you’re ready.
Look for ease of migration: The richer the foundation of content an LLM can draw on, the more valuable the responses it can deliver. Seek out a vendor that offers the tools and expertise to help you migrate content from legacy solutions into an intelligent content management platform.
Ready to unlock the power of an intelligent content assistant?
You don’t need a full digital transformation to get started. You just need the right foundation — and that starts with managing your content. Explore the AI Productivity Playbook for more insight on building your AI strategy.
Take control of content chaos
Ready to accelerate your productivity? Start here. Secure content management that delivers an integrated AI assistant gets you from “to do” to “done” – faster!
Generative AI (GenAI) is fundamentally transforming how users work and interact with information and redefining workplace productivity. While GenAI makes it look easy, it can, without careful planning, policy management, and automation, put your organization at risk. McKinsey & Company brings it into focus: “As more organizations use AI to enhance operations, they risk inadvertently introducing new cyber-related threats. Bad actors are also using AI to fuel more sophisticated cyberattacks.” [1] So what can we do to bring the productivity promise of GenAI to the workplace in a defensible AI strategy without compromising our cybersecurity posture?
Hidden risks of an IT strategy that neglects AI governance
When you introduce GenAI to your users as a tool, employees may be quick to apply GenAI to their daily work product and most treasured information assets. Suddenly, employees are feeding sensitive customer data, proprietary documents, and confidential strategies into systems that may not respect your carefully crafted security policies, or worse, create data leak risks by taking it outside your firewall. Homegrown GenAI solutions may inadvertently become a super-user, exposing information to which the user should never access—or worse—creating a backdoor for unauthorized access.
According to Deloitte’s “2025 Technology Industry Outlook,” trust issues surrounding data privacy, security, and accuracy pose the biggest barriers to enterprise AI adoption.2 These are warning signs that customers may be missing key elements of a safe, secure, and defensible AI strategy.
Great AI starts with great content management
A great content management program that incorporates repeatable policy, built-in content security, automation, integration and information governance in a tightly orchestrated system configured to help you stay compliant and safe. When you have such a capability as a foundation, along with a tightly coupled GenAI capability, you are well on your way to delivering secure AI to every user that doesn’t keep you up at night.
Elements of a secure AI strategy
At OpenText, we believe that GenAI doesn’t have to be difficult or present a giant cybersecurity headache that’s difficult to plan around or manage. Getting GenAI right starts with some comment elements:
Policy-bound grounding. As GenAI is an extension of the user as a digital assistant, it must be grounded in contextually relevant, safe content that honors the user’s access controls and permissions to prevent inadvertent exposure, data leaks, and compliance violations. This is accomplished through a retrieval-augmented generation (RAG) architecture that is tightly coupled to the content management’s permission structure.
Trustworthy frontier large language models with zero retention terms of service. Allowing a large language model provider to train their GenAI using your proprietary data or personally identifiable information (PII) is unacceptable to any organization and non-compliant in nearly all jurisdictions and information governance standards. The solution works with GenAI, which adheres to a “zero-retention” model, where no client information is ever retained or used for training.
Build a secure AI strategy with OpenText
At OpenText, your information management success is critical to our mission. We’ve prepared more detailed information on building a secure AI strategy, including a white paper and webinar. We’d also like to hear more about your journey into GenAI and answer any questions you have, so reach out to start a conversation with us about OpenText™ Content Aviator and our larger AI content management portfolio.
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1 Greis, J., Sorel, M., Fuchs-Souchon, J., & Banerjee, S. (2024, November 14). The cybersecurity provider’s next opportunity: Making AI safer. McKinsey & Company. https://www.mckinsey.com/capabilities/risk-and-resilience/our-insights/the-cybersecurity-providers-next-opportunity-making-ai-safer
In today’s enterprise environment, technology must do more than support operations—it must accelerate them. Leaders are demanding systems that are smarter, safer, and leaner. They want technology that performs, not just functions. That’s why the partnership between SAP and OpenText is more relevant than ever.
For over 30 years, SAP and OpenText have partnered to help enterprise technology deliver results. Together, we connect SAP’s structured process expertise with OpenText’s best-in-class unstructured content management to create purpose-built solutions that reduce complexity, embed compliance, and elevate employee experiences.
This isn’t just collaboration, it’s co-innovation with purpose.
Technology that performs: Why this partnership matters
Enterprises today face mounting pressure: fragmented systems, shifting regulations, and tools that add friction instead of flow. Technology is supposed to be the engine of growth, but too often it becomes a bottleneck. SAP and OpenText have solve this challenge at the core by unifying structured data and unstructured content into a single source of truth.
This unified foundation gives leaders control, employees clarity, and IT a cloud-first platform that scales globally. It’s not just about integration, it’s about transformation.
OpenText certified for SAP S/4HANA Cloud Public Edition
OpenText™ Core Content Management is now officially certified for SAP S/4HANA Cloud Public Edition. This makes OpenText the first and only SAP Solution Extension (SOLEX) document management platform qualified to support GROW with SAP.
This milestone delivers:
Cloud-first control with built-in compliance
Unified content and process management across SAP Cloud ERP
AI-ready architecture for smarter decisions and faster outcomes
As enterprises modernize through RISE and GROW with SAP, content management has become a critical success factor. To unlock real business value from AI, organizations must connect structured data with unstructured content in governed, intelligent ways.
Use cases that drive real value
Vendor invoice management (VIM) – Transform VIM from a transactional workflow into an intelligent engine. Organizations gain access to historical archives and live operational systems for smarter invoice processing and faster decision-making. Embedded AI reduces exceptions, increases throughput, and strengthens compliance—powered by governed, context-rich content.
HR document management – SAP and OpenText help organizations to manage millions of HR records and associated employee documents within context, improving employee experience as they manage the hire-to-retire process. Our joint solution with OpenText Core Content and SAP SuccessFactors shows the scale, security, and simplicity possible to control across the employee lifecycle.
Regulatory compliance – Track, report, and govern content usage across geographies. Our joint solutions adapt to evolving regulations, ensuring global compliance without added complexity. Compliance is embedded by design, not bolted on as an afterthought.
Operational efficiency – Unify structured data and unstructured content into a single source of truth. Leaders gain visibility, employees gain clarity, and IT scales with confidence. Metadata indexing and lifecycle governance ensure that every piece of content is searchable, contextualized, and secure.
Our promise: Three pillars of performance
Together, SAP and OpenText deliver for customers:
Streamlined power – We help enterprises run more efficiently without sacrificing performance. By reducing complexity and streamlining processes, unified solutions from SAP and OpenText help leaders gain cloud-first control. From streamlined contracts to lifecycle governance with records management, our joint solutions help employees move faster and IT scales with confidence.
Built-inassurance – OpenText and SAP have 30+ years of trusted collaboration. Our solutions are premium-certified, cloud-native solutions that are used by global enterprises to meet the highest standards of security, compliance, and reliability. Together, we are meeting compliance requirements and adapting to evolving global regulations.
Effortless visibility – Human-centered design for intuitive interactions is at the heart of our co-innovation process across SAP and OpenText. Our joint solutions shift the user experience from friction to flow. With the future of conversational UI enabling intuitive engagement with data, employees are empowered to move from uncertainty to insight, accelerating how work gets done.
Looking ahead: Co-innovation for the future
SAP and OpenText are reimagining core business processes by embedding AI into the SAP Business Data Cloud. This next phase of innovation fuses structured data with unstructured content to deliver automation, intelligence, and insight through data objects within the SAP Business Data Cloud,allowing for reporting and analytics to happen securely and at scale. Together, we help customers get practical value from AI sitting on top of trusted data across our ecosystem.
We’re transforming enterprise technology into a competitive advantage. Customers can expect a new standard of performance: efficiency without compromise, assurance without hesitation, and experiences that accelerate the way people work.
Final thought
For leaders and organizations that expect their technology to be a competitive advantage, SAP and OpenText are the catalyst for high-performance. Our joint solutions power ambitious organizations that need maximum value from their technologies —reliably delivering clarity, control, and confidence.
As NetSuite customers and partners gather at SuiteWorld to explore the future of cloud ERP, one theme is clear: supply chains must continuously evolve to meet today’s business needs. No matter what the size of your company is, you’re looking for smarter, faster, and more collaborative ways to manage B2B integrations, including EDI and APIs.
The NetSuite integration challenge
NetSuite excels at managing internal operations, but supply chain success depends on external collaboration. Many growing businesses hit a wall when they need to:
Onboard new trading partners quickly without months of technical setup
Automate EDI transactions beyond basic file exchanges
Gain real-time visibility into partner performance and supply chain disruptions
Scale globally while maintaining compliance across different markets
Integrate with partners using various communication protocols and data formats
These challenges become tough for NetSuite customers, but also system integrators serving the NetSuite community as each customer has unique partner connectivity requirements, custom workflows, and industry-specific compliance needs that standard NetSuite functionality can’t address alone.
Strategic technology partnerships increase ROI
The most successful NetSuite implementations OpenText sees combine operational excellence with strategic B2B integration that transforms entire supply chain ecosystems. This isn’t about adding another software vendor but creating a partnership that amplifies NetSuite’s value.
Whether you’re a NetSuite customer or a system integrator/ISV supporting ERP transformation, OpenText offers the tools to digitize B2B integrations, improve EDI accuracy, and prepare supply chains for AI-driven innovation.
OpenText is actively building partnerships with system integrators and ISVs who specialize in NetSuite and other ERP platforms. Why? No one wants to rip and replace their existing IT ecosystem. And, no one has the budget, the time, or the resources to do it all themselves.
With so many workforce shifts and supply chain disruptions coming from all sorts of directions, adaptability is key and so are flexible and scalable solutions that work with your current IT ecosystem so you can focus on your business and long-term growth.
What success looks like – real world impact
Project Lead The Way (PLTW), who uses NetSuite as their ERP, partnered with OpenText to automate its order-to-cash processes using B2B integration and EDI, achieving 99% straight-through processing and reducing EDI operational costs by over 10% annually. This transformation enhanced delivery efficiency to more than 12,000 schools and established a long-term strategic partnership with OpenText.
Eco Style Corp LLC, also a NetSuite customer, partnered with OpenText to achieve full EDI 856 compliance, reduce transaction errors, and cut software license and support costs by 50%, significantly improving operational efficiency and data accuracy. The scalable solution accelerated partner onboarding and enabled seamless integration with Oracle NetSuite, positioning Eco Style for global expansion and smarter logistics decisions.
These aren’t just efficiency gains but competitive advantages. When your supply chain operates with real-time visibility, automated exception handling, and seamless partner collaboration, you can respond to market changes faster than competitors still managing partnerships manually.
For NetSuite users, this translates to:
Reduced operational costs through automation
Improved cash flow through faster, more accurate invoicing
Enhanced supplier relationships through better collaboration tools
Greater agility to enter new markets and onboard partners quickly
For system integrators, this means:
Differentiated service offerings that command premium pricing
Reduced project risk through proven, enterprise-grade integration platforms
Access to global support and expertise for complex implementations
Let’s build smarter supply chains together
SuiteWorld is about innovation, collaboration, and growth. OpenText Business Network Cloud is proud to support NetSuite customers and partners in building supply chains that are not just connected, but intelligent.
It’s time to eliminate supply chain friction and improve supply chain collaboration together. Whether you’re looking to improve EDI accuracy, digitize supply chain partner interactions, or unlock AI-driven insights, OpenText is ready to help.
Meet Jordan, a portfolio manager at a global enterprise. Jordan spends most mornings piecing together spreadsheets, chasing down project updates, and trying to explain to leadership why deadlines keep slipping. Teams are overbooked one week and underutilized the next. Strategic initiatives get buried under urgent “fire drills.” By the time risks surface, it’s already too late to course-correct. The result: Stress, reactive decision-making, and constant uncertainty about whether the portfolio is delivering real business value. Jordan needs project and portfolio management software.
After OpenText Project and Portfolio Management:
Now picture Jordan’s world when he uses project and portfolio management software from OpenText™:
Strategy and execution finally align. Every project is clearly tied to business outcomes, so Jordan can prioritize with confidence and demonstrate value to leadership.
Resources are optimized. The right people are on the right projects at the right time—no more burnout or idle talent.
Real-time visibility replaces guesswork. Dashboards highlight risks, dependencies, and progress across the portfolio, so Jordan spots issues early and takes action before they escalate.
Decisions are smarter and faster. With trustworthy data at hand, Jordan can respond to change with agility instead of scrambling.
Faster time-to-market. By aligning strategy and execution, Jordan’s organization cuts wasted effort and delivers high-priority initiatives faster.
Reduced risk exposure. Real-time dashboards surface potential delays or budget overruns early, helping the organization avoid costly surprises.
Greater portfolio value. With visibility across projects, leadership can redirect investment to initiatives with the highest returns—maximizing impact without increasing spend.
The difference is night and day. Instead of firefighting and herding cats, Jordan’s team focuses on delivering outcomes that matter. Leadership gets clarity and confidence. And Jordan? He finally has time to lead strategically rather than drown in spreadsheets.
OpenText Project and Portfolio Management empowers organizations to connect strategy to delivery, optimize resources, and maximize business value with clarity and control.
Want to learn more about how OpenText Project and Portfolio Management can help you cut through the chaos? See it in action here and learn more about how we help organizations drive results with strategic alignment, visibility, and productivity.
