The IT Nerd

Tal Levi Joseph, a VP of Product & Engineering, Application Development & Maintenance (ADM) at OpenText has shared a number of predictions for 2026.

For context: There’s little doubt that AI has completely transformed the developer experience in the last few years. According to OpenText research, 89% of organizations are piloting or deploying GenAI–augmented workflows, but half (50%) report a lack AI/ML expertise (unchanged from 2024). Looking ahead to 2026, Tal predicts that the developer experience will become more complicated as they adapt to increasingly AI-driven workflows.

• Engineers Become Architects of Agentic AI Teams: Engineers will act as orchestrators of virtual AI agent teams, defining each agent’s role, rules, tools, and collaboration patterns next year. Their job will shift from direct execution to designing systems of intelligence that align with business outcomes. Success will depend on setting checkpoints and KPIs that guide autonomous workflows and adjusting them when they drift. They will also design new testing methods to validate non-deterministic, agentic systems.

• The Developer Experience Will Get Messier Before It Gets Smarter: AI will co-write more code, shape architecture, and make development messier before quality and efficiency balance out. Early adopters will pay a temporary quality cost as they adapt to AI-driven workflows. Smart organizations will connect AI copilots to broader context and institutional knowledge, linking requirements, tests, and historical defects, so productivity gains translate into better delivery. Over time, self-improving and self-healing pipelines will turn productivity into lasting quality.

• DevSecOps Shifts from Scanning to Prediction: DevSecOps will embed threat modeling and prediction across the entire lifecycle. Instead of reacting to vulnerabilities, teams will anticipate risks based on code changes, dependencies, and historical data. Compliance, security, and dependency intelligence will converge to give end-to-end visibility into relationships and potential exposures. This predictive approach will sustain development speed while strengthening trust and governance in an AI-driven SDLC.

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Perri Burrage Senior Account Manager +1587 577 1337

OpenText today announced an expanded partnership with Google Cloud to deliver transformative solutions across artificial intelligence (AI), data privacy, and sovereign cloud infrastructure. The collaboration combines OpenText’s enterprise information management expertise with Google Cloud’s AI and infrastructure technologies to help organizations solve complex business challenges with confidence and agility.

Gemini Enterprise: Creating Real-World Impact with AI

OpenText will leverage Google’s Gemini models and Vertex AI to drive new AI use cases and deliver a suite of intelligent agents in Gemini Enterprise, empowering customers to tackle high-value business problems in industries such as insurance, financial services, and retail. With Gemini Enterprise, organizations will be able to use AI agents to automate claims processing, enhance fraud detection, drive data compliance, and streamline regulatory reporting—delivering measurable improvements in speed, accuracy, and operational efficiency. 

Elevating Data Security with OpenText Voltage and BigQuery 

OpenText is also introducing a new data protection solution for the retail sector, which integrates OpenText’s Data Privacy and Protection (Voltage) platform with Google BigQuery. This joint offering delivers advanced encryption and data protection for sensitive data at rest, in transit, and as it feeds AI models—ensuring compliance with evolving privacy regulations. 

Sovereign Cloud and AI: Empowering Customers with Control, Choice and Security Across the Globe 

To meet the growing importance of data sovereignty, OpenText’s Private Cloud offerings now integrate with Google Cloud’s Sovereign Cloud solutions. This enables organizations in regulated industries to meet stringent compliance requirements while maintaining control over where and how their data is stored and processed. 

This partnership underscores OpenText and Google Cloud’s shared vision for trusted, secure, and scalable AI and cloud solutions that meet the needs of modern enterprises. 

OpenText today announced its vision for the future of enterprise AI with the introduction of the OpenText AI Data Platform (AIDP). OpenText AI Data Platform addresses the convergence of data and AI to deliver secure and scalable enterprise capabilities.

As volumes of proprietary data grow exponentially, organizations face mounting pressure to manage, secure, and activate their private information. Moreover, according to McKinsey’s annual State of AI study, 51% of organizations using AI have experienced at least one negative consequence and inaccuracy, underscoring the need for information governance. OpenText’s innovation roadmap focuses on helping customers establish contextual data foundations to fuel accurate AI results to accelerate business outcomes.

A Vision for Contextual AI

OpenText’s AI strategy is built on nearly 35 years of being the custodians of data for its customers. Practical enterprise AI requires agents to understand the specific situation, environment, and task it operates within to be effective. With the right context, OpenText can bring new life to old data, while solving relevancy and avoiding false confidence.

OpenText business applications assist enterprises in managing their largest data sets today including documents, commerce trades, IT tickets, and security signals. This can be human generated content, machine generated content, or content between organizations. OpenText ensures that information has metadata tags to provide data lineage, data rights, and data retention policies. With data security and identity access management wrapped around it, these contextual elements are critical to driving accuracy with any enterprise AI model.

OpenText Aviator then sits on top of this contextually rich data to enable automated workflows with agentic AI. OpenText’s Aviator is unique because it adheres to three core standards:

• Multi-cloud: Supports on-premises, cloud, and hybrid deployments
• Multi-model: Compatible with any AI model (LLM, SLM), including bring-your-own-model
• Multi-application: Deep integration with ERP, CRM, and other enterprise platforms

This open architecture ensures that organizations can tailor their AI strategies to their specific business, industry, and compliance needs. Furthermore, OpenText is working across the ecosystem with alliance partners like SAP, Microsoft, Google, Salesforce, Oracle, and more on deep integrations to drive an agent-to-agent roadmap.

Today, OpenText also announced it will be expanding its partnership with Databricks, the Data and AI company. OpenText already builds solutions on the Databricks Data Intelligence Platform with OpenText Threat Detection and Response. Now OpenText and Databricks will be working to co-innovate on the OpenText AI Data Platform through technical integrations and Delta Sharing. Together, customers can seamlessly unify, govern, and analyze all their enterprise data, empowering them to unlock trusted AI insights and drive innovation at scale.

Showcasing Innovation at OpenText World 2025

At its annual flagship event, OpenText World 2025, the company also introduced several groundbreaking innovations and outlined its 18-month roadmap (releases OT 26.1 – OT 27.2) that redefine how enterprises will interact with data and AI:

• OpenText AI Data Platform (AIDP) – An open, unified data and AI framework with a governance orchestration layer that enables AI agents (Aviators) to help customers unlock new value.
• OpenText Aviator Studio – A no-code platform to build, govern, and connect enterprise AI agents to empower organizations to realize ROI from AI faster.
• OpenText Knowledge Discovery – A set of tools to ingest structured and unstructured data, automate meta-data tagging, and connect to rich data sources in real-time.
• OpenText Data Compliance – A suite of services including AI readiness assessments, data redaction and PII controls, data tokenization, data encryption and privacy protection, and threat detection and response.
• OpenText Aviator AI Services – A team of OpenText Professional Services experts to help customers on the journey from discovery to deployment to adoption of purpose-built agents to realize business value.

Get Started

Organizations can take advantage of OpenText Aviator today for practical use cases from fraud detection to claims management to predictive maintenance. Learn more here.  

OpenText Aviator entry tier package will be included with an upgrade to OT 26.1 of Content Management, Service Management, and Communications Management at no additional fee.

OpenText Aviator will also be available on-premises starting OT 26.1 for Content Management, Communications Management, Service Management, DevOps Management, and Application Security.

Lastly, OpenText continues to partner with customers to navigate through complex requirements for sovereignty data and AI. Learn more here.

OpenText in collaboration with Capgemini, an AI-powered global business and technology transformation company, and Sogeti (part of the Capgemini Group), today announced the 17^th edition of the World Quality Report 2025: Adapting to Emerging Worlds. The report reveals that while nearly 90% of organizations are now actively pursuing generative AI (Gen AI) in their quality engineering (QE) practices, only 15% have achieved enterprise-scale deployment.

The report finds a widening gap between organizational interest in GenAI and actual readiness to adopt it effectively within QE. The journey from experimentation to implementation is more complex than anticipated, requiring alignment between operational innovation and strategic oversight.

Key findings from the report:

• Widespread adoption: 89% of responding organizations are piloting or deploying GenAI–augmented workflows, with 37% in production and 52% in pilot phases.
• Momentum and recalibration: The rate of non-adopters of GenAI increased to 11%, up from 4% in 2024, but still considerably lower than 2023’s 31%, indicating the initial rush has given way to a more grounded and complex strategy about readiness and value.
• Limited scale: Only 15% of respondents have achieved enterprise-wide implementation, while 43% remain in the experimental phase and 30% operate within limited use cases.
• Evolving use cases: GenAI is shifting from analyzing outputs (such as defect analysis and reporting) to shaping inputs, with test case design and requirements refinement now leading adoption.
• Operational gains with caveats: Organizations report an average productivity boost of 19%, but one third have seen minimal gains, highlighting the need for smarter integration strategies.
• New barriers emerge: In 2025, top challenges experienced by respondents include integration complexity (64%), data privacy risks (67%), and hallucination and reliability concerns (60%). This is a change from 2024 when top obstacles were more strategic in nature: lack of validation strategy (50%), insufficient AI skills (42%), and undefined QE organization (41%).
• Skills gap remains: 50% report their organizations lack AI/ML expertise, which is unchanged from 2024.
• Strategic misalignment: Many organizations treat GenAI as a tactical enhancement rather than a strategic enabler, resulting in fragmented execution and underfunded initiatives.

The report also emphasized the emergence of collaborative intelligence, where human expertise and AI capabilities combine to drive quality outcomes. This hybrid approach is proving essential as organizations navigate the tension between innovation and accountability. The report also showed that while shift left is still the dominant approach in quality engineering, the shift-right approach is gaining traction.

To download the full report, visit www.worldqualityreport.com.

Despite some investors prophesying the burst of the AI bubble, AI innovation and investment have continued to dominate the enterprise landscape this year, with North American organizations investing millions ($5.4 million annually on average) on generative AI tools, infrastructure, and talent. Moving into 2026, tech leaders are now preparing for a new era of IT management, fueled by data discipline, contextual intelligence, and sustainable AI innovation.

Expert Insights: Enterprise tech leaders Shannon Bell and Savinay Berry, Chief Information Officer and Chief Digital Officer, and Chief Technology Officer and Chief Product Officer, respectively, at OpenText, predict a 2026 digital landscape defined by context-driven AI, resulting from the following industry trends: 

• A shift from a proliferation of new AI tools to evaluating AI based on the tools it can replace 
• An increase in AI misuse incidents and a subsequent increase in AI accountability 
• The abandonment of the exploration of bigger models in favour of smarter, more  contextual AI
• The breaking point for proving tangible AI ROI 

Shannon Bell, Chief Information Officer and Chief Digital Officer, OpenText

Prediction 1: In 2026, AI will be judged not by how many tools it adds, but by how many it replaces.

CIOs will face pressure to demonstrate that AI is actively rationalizing applications to deliver measurable 10% year-over-year reductions across their technology estate. The real proof point will be cost optimization through secure information management: consolidating data environments, governing access, and ensuring that every AI deployment enhances, not fragments, the enterprise information landscape. Early gains will come from customer-facing and operational tools—help desk, call centers, frontline support—where generative and agentic AI can replace low risk, high volume tasks done today by humans, while at the same time improving experience. As organizations see billion-dollar efficiencies emerge, CIOs will redirect those savings into innovation and resilience, not more software.

Prediction 2: The future of cloud is hybrid, and sovereignty will be defined by data, not infrastructure.

By 2026, there will be broad acceptance that hybrid cloud is not a transitional state but a permanent one. The real sovereignty challenge isn’t where the cloud sits; it’s where the data resides and how securely it flows between environments. Every enterprise holds “keys to the castle” data that must remain protected, even as it interacts with public and private AI models. According to recent OpenText and Ponemon Institute research, 73% of CIOs and CISOs say reducing information complexity is critical to AI readiness, reinforcing that secure, governed data mobility is what will enable safe, scalable AI. CIOs will focus on portable architectures, clear governance, and the seamless orchestration of information across private networks, hyperscalers, and edge environments.

Prediction 3: CIOs will move from experimenting with AI to orchestrating it, governing outcomes, agents, and data.

AI leadership will evolve from pilots to performance. CIOs will be accountable for tangible business outcomes, defining clear frameworks that connect AI investments to enterprise KPIs and ROI. That means managing a new hybrid workforce of humans and digital agents, complete with job descriptions, correlated KPIs and measurement standards, and governance guardrails. Yet none of this will succeed without secure information management, ensuring that the data fueling and training these agents is accurate, compliant, and trustworthy. Simply put, good data results in good AI outcomes. As AI accelerates, traditional network and security operations will be reimagined for an always-on, agent-driven enterprise, where value is derived as much from data discipline as from innovation itself.

Prediction 4: The AI-ready enterprise will redefine workforce development around continuous learning and change management.

Workforce strategy will start to center on transforming people from task-takers to task-givers—individuals who design, direct, and evaluate AI systems rather than execute every process manually. Enterprises will invest in AI marketplaces, sandboxes, and prompt-sharing communities to accelerate hands-on experimentation, while universities and employers alike will emphasize problem-solving, critical thinking, and adaptability over static technical skills. Success will depend on a strong change management culture that reduces fear, communicates “what’s in it for me,” and ensures every employee has a stake in shaping how AI transforms work. The goal is not to automate people out of relevance, but to equip them to leverage AI to deliver higher-value, human-centered innovation and outcomes.  

Savinay Berry, Chief Technology Officer and Chief Product Officer, OpenText

Prediction 1: Context will define the next stage of AI.

The next leap in AI will come from smarter context, not bigger models.

Success will depend on how well organizations understand their data, where it comes from, and what it means in different business settings. Context engineering will become essential to help enterprises get the most out of their data and connect AI results back to original sources. That’s what will separate AI pilots from scalable enterprise-grade systems. When information context stays intact, AI becomes accurate, compliant, and explainable. Without it, even the best models risk producing outputs that can’t be trusted.

Prediction 2: A Major brand fallout will force AI accountability.

In the next year, we’ll likely see a major brand face real damage from AI misuse. It won’t be a cyberattack in the traditional sense but something more subtle, like a plain text prompt injection that manipulates a model into acting against intent. These attacks can force hallucinations, expose proprietary or sensitive information, or break customer trust in seconds. Enterprises will need to verify AI behavior the same way they secure their networks, by checking every input and output. The companies that build AI systems with accountability and transparency at the core will be those that keep their reputations intact.

Prediction 3: 2026 will be the year to prove real ROAI.

The time for counting AI pilots and projects is over. In 2026, organizations will need to prove real return on AI investment (ROAI) through outcomes that improve performance, reliability, and customer experience. Measuring the percentage of AI-generated code or model activity doesn’t say much. What will matter is whether AI shortens release cycles, improves uptime, and helps teams recover faster from incidents. When AI delivers measurable improvements in speed, quality, and stability, that’s when it will become a trusted business advantage.

 OpenText today announced new cybersecurity capabilities designed to help enterprises embed AI into everyday security work and enforce governance and compliance at scale. OpenText™ Cybersecurity unifies defenses across identity, data, applications, SecOps, and forensics, putting AI directly in the flow of work with OpenText™ Core Threat Detection and Response for behavioral analytics, OpenText™ Core Identity Foundation for advanced permission settings and access protection, and OpenText™ Application Security Aviator auto-remediation during application testing.  Along with OpenText Data Privacy and Protection for advanced encryption, these advanced new cybersecurity capabilities in CE 25.4 strengthen compliance with built-in controls (GDPR, HIPAA, PCI DSS) and ensure enterprise AI runs on security that is adaptive, governed, and trusted.

New innovations include:

• Get AI Ready with Simplified Identity and Access for Hybrid Environments
  With OpenText Core Identity Foundation, organizations can unify identity and access across on-premises, cloud, and legacy environments without costly infrastructure overhauls. SaaS-based Zero Trust controls and enforces least-privilege access by fully managing all the edge identity stores across disparate environments as part of the Identity-as-a-Service (IDaaS) vision.
  
• Put AI in Context with Secure Software Delivery Powered by AI Auto-Remediation
  Development teams can fix vulnerabilities in minutes instead of days with OpenText Application Security Aviator 25.4. Automated, validated code fixes reduce security debt and embed protection directly into DevSecOps workflow through the Fortify Command Line Interface (fcli).
  
• Secure, Governed, Compliant with Proactive Threat Detection and Built-In Compliance
  OpenText Core Threat Detection and Response bring behavioral analytics into the SOC. OpenText Data Privacy and Protection is advanced encryption service that protects sensitive data at rest, in transit, and as it feeds AI. And if you’d like to gain expert help, OpenText Managed Security Services can bring Managed Extended Detection and Response (MxDR) and PCI-DSS attestation services to help security teams detect threats faster, respond in real time, and meet regulatory requirements with less operational overhead. For organizations seeking expert support, OpenText Managed Security Services can bring Managed Extended Detection and Response (MxDR) and PCI-DSS attestation services to help security teams detect threats faster, respond in real time, and meet regulatory requirements with less operational overhead.

The new capabilities are currently available with OpenText Cloud Editions 25.4.

Additional Resources

• To explore OpenText™ Application Security Aviator 25.4 or request a personalized demo, click here.
• For more information on OpenText™ Core Identity Function or to request a personalized demo, click here
• To learn more about OpenText™ Managed Security Services, click here.
• Learn more about OpenText™ Core Threat Detection and Response (TDR) here.
• Learn more about OpenText™ Data Privacy and Protection Foundation (Voltage) here.

 OpenText today announced the release of Cloud Editions (CE) 25.4, introducing innovations that help organizations securely unlock the value of their  information and put AI to work with industry-specific, use-case-driven solutions.

With CE 25.4, customers can move from “Content in Context” to “AI in Context,” putting trusted data at the center of their AI strategy. With enriched and governed enterprise data in various OpenText platforms, organizations can accelerate AI readiness and benefit from operational productivity. CE 25.4 helps customers discover hidden data, transform raw content into intelligence, and curate information with business context.

Trusted AI-Ready Data

CE 25.4 recognizes that AI depends on three critical types of data:

• Human-generated content: Structured data and unstructured data such as files, emails, images, texts, and audio created by users.
• Machine-generated content: Log files from IT monitoring, security systems, network operations, endpoints, QA testing, and more.
• Content between organizations: Data from B2B integrations, supplier networks, and commerce flows.

According to IDC, 90% of the world’s content resides behind enterprise firewalls and this private data is essential for deploying effective AI. In fact, 89% of CIOs say their AI strategy hinges on robust information management according to OpenText’s recent survey. Connecting all three types of data into AI-led cross-functional workflows is the competitive advantage OpenText can bring customers — ensuring private intellectual property remains secure, is governed by the right permission settings, and is ready to fuel powerful AI outcomes.

New AI in Context Innovations with CE 25.4

With OpenText’s latest release, customers can gain access to a suite of enhancements designed around three principles:

• AI Ready: Tools and services to uncover hidden data, enrich it with business context, and prepare it for AI consumption.
• AI in Context: Functional role specific AI solutions built on curated, governed data that meet industry standards.
• Secure, Governed, Compliant: Advanced protection for sensitive data, identities, and endpoints, with intelligent threat detection and behavioral analysis.

CE 25.4 introduces new Aviator capabilities across a wide range of specific business roles including:

• Policy & Compliance Management: Automatically identify and update non-compliant documents, behaviors, or trade transactions.
• Document Classification and Management: Auto-tag and store documents according to business context. Archive and dispose of documents per records retention rules.
• Service Management: Enhance service quality and reduce resolution times.
• Quality Control Management: Generate QA scripts and automate testing of user stories.
• Text-to-Code Conversion: Enable non-technical users to query databases.
• Audit Preparation: Accelerate audit readiness by identifying gaps in documentation.
• Anomaly Detection: Spot unexpected changes in supply chain transactions that signal business issues.
• Carbon Emission Calculations: Help clients reduce emissions by aggregating data across trading partners and systems.

New Advisory & Support Services

To help customers maximize the value of CE 25.4, OpenText is launching a comprehensive suite of services:

• OpenText Advisory Services : Align stakeholders, map data governance, and prioritize high-value AI initiatives with readiness and guardrails.
• Deployment & Integration Services : Rapid deployment and seamless integration with leading applications using proven methodologies.
• Cloud & Platform Modernization Services : Rationalize legacy systems, archive cold data, and re-architect workloads for secure, modern operations.
• IT Process Innovation Services : Improve observability, service management, and DevOps with embedded expert capacity.
• Cyber Resilience Services : Establish security baselines, validate backup and recovery, and drill incident response for repeatable containment.
• Advanced Customer Support Services (ACS) : Tiered support offerings including Extended Support, Priority Response, Premium Support, and Ultimate Care. ACS ensures system health with proactive care, named support partners, and readiness audits.

Upgrade to CE 25.4 Today

OpenText Cloud Editions 25.4 is available now. Customers are encouraged to upgrade to take advantage of the latest innovations and prepare their organizations for the future of AI.

Engage Our Experts

To learn more about CE 25.4 visit here and see how OpenText can help your organization become AI-ready. Contact our advisory team today.

 OpenText continues to set the benchmark in Information Management with its AI-first strategy, leveraging agentic AI and its suite of Aviator solutions. By embedding AI-driven automation into diverse industry use cases, OpenText is redefining work by enabling organizations to bring Digital Knowledge Workers into their daily workflows to realize the benefits of complex multi-layered process automation.

At the heart of this strategy is the OpenText Aviator suite—AI-powered assistants designed to transform how work gets done across legal, finance, technology, energy, and more. From accelerating software development and legal investigations to transforming claims management and scientific research, Aviator solutions are redefining the role of AI in the enterprise.

Introducing MyAviator: A Personal AI Assistant for Every Knowledge Worker

As part of this vision, OpenText today introduced MyAviator, the first secure, personal digital worker built for the enterprise. MyAviator enables individuals to securely interact with their own documents, extract insights, and generate content—all within the trusted OpenText ecosystem.

Whether summarizing hundreds of pages, preparing for meetings on the go, or generating onboarding kits in hours instead of weeks, MyAviator brings the power of AI directly to the individual—without compromising security or governance.

OpenText’s Aviator Solutions are Already Delivering Value

OpenText is leading the charge in intelligent automation with agentic AI and Aviator solutions that help businesses streamline operations and make smarter decisions. Its forward-looking vision positions AI as a catalyst for enterprise growth and industry transformation. Examples of how OpenText’s Aviators are driving real value across a number of industries include: 

• Enhancing Software Quality with AI-Powered Test Case Generation
  OpenText automates 95% of test scripts, reducing manual testing time by up to three days and allowing developers to focus on innovation. This improves digital service delivery for e-commerce businesses, leading to faster product rollouts and enhanced user experiences.
• Streamlining Agile Development with Aviator Testing Assistants
  Aviator leverages AI to analyze and group user story content, automating backlog creation and aligning development with strategic goals. It generates detailed user stories with contextual information, accelerating time-to-market and improving collaboration across agile teams.
• Accelerating Legal Investigations and Document Retrieval
  OpenText’s AI streamlines legal investigations by instantly retrieving relevant case files, precedents, and regulatory documents. This speeds up decision-making, ensures regulatory compliance, and reduces legal workload and costs.
• Transforming Claims Management with Intelligent Automation
  AI-driven automation enhances claims processing by reducing time, detecting fraud, and validating policies with minimal human input. This results in faster claim resolutions, improved accuracy, cost savings, and stronger customer trust.
• Advancing Research Exploration Through AI-Powered Insights
  In industries like mining and biotech, OpenText’s AI analyzes complex data to identify opportunities, reduce risk, and boost discovery speed. From locating extraction sites to predicting treatment outcomes, organizations can innovate with greater precision and environmental responsibility.
  

A Future Built on AI-Driven Efficiency

OpenText’s commitment to AI innovation underscores its vision for a smarter, more efficient digital future. By harnessing agentic AI and Aviator-powered solutions, the company enables enterprises to automate complex processes, enhance decision-making, and unlock new growth opportunities. As AI continues to evolve, OpenText remains at the forefront of driving intelligent automation across industries.

With AI transforming the way businesses operate, OpenText’s strategic approach ensures that organizations not only keep pace with change but lead the way in digital transformation.

Additional Resources

• Read more about OpenText’s AI strategy and Aviator solutions on our blog:
  • Limitless: What it means for modern customers in an AI-first world
  • Limitless: What it means for productivity
  • Limitless: What it means for integration
  • Limitless: What it means for innovation
  • Limitless: What it means for peace of mind
• Read our CEO Mark Barrenechea’s book Business at the Speed of AI
• Learn more about OpenText Aviator
• Learn more about OpenText MyAviator

 OpenText™ today announced the release ofOpenText™ Cloud Editions (CE) 21.3, delivering innovations in the OpenText Cloud that will enable businesses of all sizes to become more intelligent, secure and connected.

CE 21.3 features a number of significant new products, solutions and integrations to support Information Management in the cloud at scale, including:

• OpenText™ Experience CDP, a new customer data platform, and an essential feature of the highly integrated OpenText™ Digital Experience Platform. Experience CDP increases prospect conversation rates by unifying customer data from first- and third-party data sources, including Google Marketing Platform, to enable better targeting and more relevant personalized and omni-channel experiences.

• OpenText™ Magellan Risk Guard, a new AI solution that helps organizations ensure compliance and mitigate risk by uncovering and remediating potentially sensitive, inappropriate, or detrimental text, images, or video content within business systems. Risk Guard is easy to deploy and includes 20 prebuilt AI models that identify risk across 50 pre-defined categories such as personally identifiable information (PII), drugs, alcohol and violence.

• An update to OpenText™ Extended ECM for Office 365, that provides deeper integrations with Microsoft Teams​, further simplifying collaboration, productivity, and compliant control of information.

• As part of OpenText’s commitment to deliver information management solutions as Cloud APIs,OpenText™ Developer Cloud  now delivers APIs for content services, fax, notifications, capture and security. Webroot® real-time threat protection and monitoring APIs help protect sensitive data and reduce the potential risks of cyber-attacks. Additionally, the OpenText™ Business Network Cloud now offers connectors to 135 API in the SAP S/4HANA® Cloud, enabling organizations to unlock real-time data flow and minimize disruptions when migrating to the SAP S/4HAHA Cloud. 

CE 21.3 also contains significant updates across each of the OpenText Clouds, as well as new solutions tailored to address unique industry requirements.

The OpenText Content Cloud empowers modern work by improving user and process productivity, and automating the management of critical business content. Further innovations beyond OpenText Extended ECM include:

• OpenText™ Core for Regulatory Plans, a SaaS solution for Life Sciences helps organizations plan, manage, and track complex regulatory submissions​.
• OpenText™ Core Share for SAP solutions, available at the SAP Store, enables secure remote collaboration in the cloud within an SAP business process.
• OpenText™ Axcelerate™ delivers enhanced chat review functionality and expanded collection capabilities for Google Workspace and Microsoft Exchange.

The OpenText Business Network Cloud connects business to global commerce and trading networks through a unified integration platform. In addition to new API connectors, innovations include:  

• OpenText™ Lens is now available in OpenText™ Trading Grid Classic to provide near real-time visibility for B2B transactions, tailored experiences, and new reporting capabilities to enhance productivity and communication. 
• OpenText™ IoT Platform simplifies the user experience and delivers APIs with operational features for internalization and device onboarding and provisioning.

The OpenText Experience Cloud provides a single platform to deliver modern engagements across the customer journey. ​In addition to the new customer data platform, innovations include:

• OpenText™ Media Management now integrates with Shutterstock to streamline image search and asset management.
• OpenText Media Management also introduces a new Jobs Dashboard that provides immediate visibility of all current projects, helping teams and stakeholders to optimize collaboration and meet deadlines.
• The launch of the OpenText Voyager Connect Community, an online community for digital experience and information management professionals to network and share ideas, content, and resources.

The OpenText Security & Protection Cloud strengthens cyber resilience by protecting and securing data to withstand and quickly recover from cyberattacks and accidental data loss. Recent innovations include:

• OpenText™ Managed Detection & Response (MDR) Service helps enterprise customers uncover hidden risks and threats to help prevent financial, legal, or reputational impact.
• OpenText™ EnCase Forensic and OpenText™ EnCase Endpoint Investigator now enable the collection of social media artifacts from cloud-based collaboration and storage applications including, Microsoft Teams, Amazon S3, Dropbox and Box. 
• Webroot® Business Endpoint Evasion Shield offers better protection by identifying threats earlier in the attack chain.
• Webroot® Security for Chromebook now includes antivirus and web filtering protection.
• Webroot® Security Awareness Training delivers regionalized and localized content in additional languages for EMEA.

The OpenText Developer Cloud is a single source of cloud API services that helps developers quickly bring their ideas to life using powerful, developer-trusted APIs. Enhancements to the Developer Cloud include more accessible API documentation, new learning materials, and a new Developer forum.

Underpinning each of the clouds are OpenText™ Advanced Technologies. In addition to Risk Guard, newinnovations include: 

• Support for Amazon EMR Data Lake and a text classification model for a Life Sciences taxonomy using Medical Subject headings (MeSH)​.
• Deeper integrations between OpenText™ Core Case Management and OpenText™ Core Content to better connect content to processes.

OpenText Industry Solutions are tailored to address the unique requirements of individual industries, bringing together information management products from across the OpenText portfolio. New solutions in CE 21.3 support the following industries:

• Utilities: Customer Experience Platform for Utilities by OpenText includes authenticated customer portals and deep integration with SAP to improve the quality of customer experience and drive loyalty and revenue.
• Life Sciences: Clinical Data Intelligence​ from OpenText™ accelerates regulatory approvals while ensuring governance by automating the capture, analysis and filing of clinical trial documentation for Life Sciences.
• Government: Cloud for Government from OpenText™ empowers Federal agencies with stronger, risk-based security features, enabling deeper visibility, automation, and collaboration.
• Manufacturing: Asset Track for Manufacturing from OpenText™ tracks the location and movement of assets in real-time to eliminate manual processes and asset loss, increasing production output and reducing operating costs.

For more information on OpenText CE 21.3, visit here or check out the latest blog from OpenText Chief Product Officer, Muhi Majzoub.