February 2021. Texas. A winter storm hit, and what should have been a challenging few days turned into one of the most catastrophic infrastructure failures in modern American history. Over 10 million people lost power. Some went days without electricity. Hospitals limped along on backup generators. Water treatment plants shut down. Tragically, hundreds of Texans lost their lives.  Here's what keeps me up at night about that crisis: Texas was just 4 minutes and 37 seconds away from a total blackout that would have taken weeks - maybe months - to restore. Four minutes.  The real problem wasn't the ice or the snow. It was that power grid operators couldn't communicate with natural gas suppliers. Transportation departments had no coordination with emergency services. Water utilities weren't looped in with power management. Each agency had data. Lots of it. Sensors everywhere, monitoring everything. But when the crisis hit, those digital walls became actual barriers between life and death.  The smart city promise nobody talks about  Cities have poured billions into IoT infrastructure. Smart traffic lights. Connected water systems. Real-time monitoring everywhere. The global smart city platforms market is projected to expand from $24.51 billion in 2025 to $39.52 billion by 2030. That's a staggering amount of investment.  And yet, recent analysis from Harvard's Data-Smart City Solutions found that many smart city initiatives have fallen short of expectations. The technology works fine. The sensors collect data beautifully. Systems function as designed. But they function in isolation.  When your traffic management system can't share real-time data with emergency services, you haven't built a smart city. You've just put expensive sensors on the same old problems.  The OECD's Smart City Data Governance Report puts it bluntly: "Smart city data are often stored in silos, which prevents interoperability." Translation? Cities are drowning in data they can't actually use when it matters.  What actually working together looks like The fix isn't to add more sensors. They are everywhere; we have enough. What we need is to break down the walls between departments so that information flows. Take Auckland Transport in New Zealand. They're managing one of the fastest-growing transportation networks in a region of 1.8 million, and they've figured out how to unify their data systems across departments. The result isn't just "improved efficiency" (although, yes, they have this). More importantly, when something goes wrong, everyone who needs to know, regardless of department, is automatically informed in real time. Emergency response is the obvious use case, but it goes deeper. When emergency vehicles can access real-time traffic data, construction updates from public works, and weather conditions all in one place, response times drop. In cardiac arrests, strokes, and major accidents, those minutes matter. Infrastructure coordination may not receive as much press, but the cost avoidance based on reduced repair work and minimized street closures can be massive. When public works, utilities, and transportation can see what everyone else is planning, you stop getting those nightmare scenarios where someone tears up a street that another department just repaved. Projects stay on schedule. Costs stay predictable. Citizens can get where they need to go. Budget oversight changes completely when you can see across departments in real-time. Water treatment costs spiking? You see it now, not three months from now when someone finally runs a report. Traffic congestion building in a specific corridor? Transportation and urban planning can coordinate before it becomes a crisis that ends up on the evening news. The money question City managers facing budget committees need hard numbers, and integrated smart city initiatives – as opposed to shotgun-style smart cities - can deliver them. Cities implementing targeted initiatives typically see initial returns within 3-5 years. Traffic management systems show results even faster—sometimes within 2-3 years. But ROI isn't just about cost savings. It's about:  Faster emergency response times  Infrastructure projects that finish on time, on budget, and within scope  Reductions in traffic accidents   Avoiding another Texas-style infrastructure failure Government technology solutions could unlock nearly $10 trillion in value worldwide by 2034. But only if we connect the systems we're building. Making it happen This requires both technology and organizational will. Unified IoT data platforms, such as OpenText IoT platform, can connect different systems while maintaining security and compliance - that's the technical piece. Modern platforms handle integration with external partners too, from private contractors to telecommunications providers. The core capabilities you need:  Real-time data exchange between city systems  Secure collaboration with external data sources (smartphones, telecom networks, private sensors)  Automated compliance reporting—because audits aren't going anywhere  Analytics dashboards that show you what's happening across departments  Solutions like OpenText's public sector platforms tackle exactly this problem. The goal isn't ripping out existing systems, it's creating the connective tissue that lets them work together. You've already invested in sensors and monitoring. Now make them talk to each other. The path forward Every city is making a choice right now, whether they realize it or not. Keep going with disconnected systems where each department operates independently? Or take the path toward integration? Texas showed us what disconnection can mean: lost lives, billions in damages, and a near-miss that still haunts infrastructure planners. The technology to prevent similar disasters exists today. The sensors are already installed in most cities. What’s missing is the connections needed to unlock their value. Smart cities that succeed won't be the ones with the most sensors. They'll be the ones who broke down the silos. Because when the next crisis hits - and there will be a next one - you might have four minutes to respond. Will your systems be talking to each other, or will they be operating in isolation while the clock runs out? Ready to break down data silos in your municipality? Learn how integrated IoT platforms can transform your city's operations and emergency response capabilities. Explore smart city solutions that are already making a difference. Learn more about how OpenText is supporting the public sector.  The post How cities break down departmental barriers with connected IoT data appeared first on OpenText Blogs.

Whether you're leading IT strategy, building products, or driving innovation, you’re feeling the pressure to deliver smarter, faster, and more secure outcomes for your business. The undeniable truth is that the pace of change your business, and your customers need is faster than ever. And what we’ve all come to realize over the last 18 months is that solid data foundations are needed for solid AI outcomes. Whether it’s within a function or across a whole enterprise based on any of our roles, we are all living on the two dimensions of data and AI. What makes OpenText special is that we have been at this challenge for the last 35 years. In fact, we have helped customers manage large data sets of all kinds – whether that is a million pieces of content, a billion connections in commerce, or a trillion signals to mine for security threats We are proudly entrenched in the world of secure information for AI and trusted by many to help leverage their data to fuel creation, ensuring data quality and cleanliness, and support them to use data to guide action. As a result, our customers can connect the transfer of critical data within their business context in real-time. Moreover, we spearhead leading expertise in information governance and cybersecurity to both drive the right permissions and right access to sensitive data along with security and encryption to ensure data is protected at rest, in transit, and as it feeds AI. OpenText is unique in its depth of experience in helping customers manage data with business context and underlying metadata foundations that are required to make AI intelligent and productive. By bringing generative AI into OpenText applications, this means we can enable users to have conversations with their information and increasingly address hyper-personalized use cases securely. In short: OpenText is truly feeding and powering the next generation of AI elite capabilities. With this as our sound data foundation, we built OpenText™ Aviator™, designed to drive tasks, discussions, and solve problems with three key architectural guiding principles. Firstly, Aviator is multi-cloud. This means we help customers bring together data from public cloud, private cloud, and on-prem and now we will help customers apply AI across all three deployment types as well. Secondly, Aviator is multi-model and enables various LLM and SLM models for customers to bring their own model to our applications. Lastly, Aviator is multi-application. The future is AI. And we have - and we will - continue to work across the technology ecosystem to enable agent-to-agent protocols so AI can be applied across major CRM, ERP, and content management systems. With the rise of agentic AI, we are working on helping customers automate specialized processes and roles, with a single source of data truth across multiple functions and departments. As the power of AI continues to grow exponentially, OpenText is co-innovating with organizations in highly regulated industries to solve problems at scale. And doing so successfully. So, what does this look like in practice? Let’s explore our latest and greatest Business AI, Business Cloud, and Cybersecurity Cloud innovations. Business AI: Unlocking intelligence without compromise Redefine AI for enterprise and let machines do the work. With CE 25.4, we’re helping you break free from silos, streamline processes, and improve customer experiences with secure information management. OpenText™ Aviator OpenText™ Aviator™ now delivers AI in context. Key use cases by functional area include: HR: Benefits and policy support, automate hiring support, search and summarize HR records IT: Auto-generate use cases and epics, self-services level 1 support, support ticket summary Customer Support: Service agent productivity insights, service ticket triaging Marketing & Sales: Generate RFPs, contract analysis, communications generation Security: Threat detection, application security for code development   R&D: Text development, user story creation, sprint planning, incident investigation Supply Chain: Anomaly detection, commerce transaction insights, product knowledge finder Aviators are differentiated because customers can go multi-cloud, based on where they would like to deploy AI and what type of protection they need around their data. Aviators can also be applied in the public cloud, in the private cloud, and on premises. Discover more in the blog here. OpenText™ MyAviator™ OpenText™ MyAviator™, our enterprise-grade AI assistant, empowers individuals to search and summarize hyper-personalized information, and offers secure, governed workspaces where individuals can quickly and effectively translate and summarize personal documents from emails to images to instruction manuals while staying complaint to company security requirements. Moreover, outputs and summaries can now easily be translated back into various modalities to consume such as podcasts and conversation guides. Deep dive into the full specifications here. Business Cloud: Making enterprises AI ready Gartner reports that 47% of workers struggle to find the information they need, with 20% of their time lost to searching. This CE 25.4 works to empower your internal teams, advance enterprise data management, elevate data governance excellence, and ensure data orchestration is AI ready. OpenText™ Content OpenText™ Content Aviator™ embeds generative-AI directly into your content management system. In CE 25.4, OpenText™ Core Content for SAP S/4HANA Public Cloud and SAP Success Factors, our SaaS AI-first content management, is now fully integrated with SAP’s Business Suites for Finance and Human Capital. Aimed to best serve mid-large enterprises in the cloud, OpenText and SAP continue to co-innovate for seamless user experiences that bring together the power of structured and unstructured data. OpenText™ Cybersecurity  Security experts continue to face mounting pressures – from the growing pressure of insider threats to AI injecting vulnerabilities into software application code. In CE 25.4, we’ve addressed the following: OpenText™ Application Security Aviator™ now inserts machine-readable auto-remediation directly into findings to enable swift fixes to vulnerabilities without slowing application development via Fortify Command Line Interface (fcli). For example, a retail developer releasing a new mobile feature can detect risks, validate code, and apply security patches automatically, keeping application delivery on schedule and the code secure. With OpenText Application Security Aviator, cybersecurity teams can benefit from faster remediation, reduction in security debt, and strengthening of cyber resilience. OpenText™ Core Identity Foundation better unifies and governs identity across hybrid environments, enforcing Zero Trust principles at scale without costly overhauls. For a global manufacturer integrating dozens of regional identity stores into one centralized policy framework, this solution provides critical real-time visibility, simplifies compliance, and reduces cost. OpenText™ Managed Security Services delivers an expert partnership for those who need help managing all threat vectors, providing 24x7 monitoring, incident response, and advanced threat detection. New CE 25.4 features include MXDR Advanced EDR Agent and PCI-DSS ASC Attestation services, to help customers uncover weaknesses before attackers exploit them. Internal teams are therefore unburdened and freed to focus on higher business strategy activities, while OpenText experts keep the business safe and secure in the background. With CE 25.4, you no longer need to choose between agility and security. OpenText delivers both. Discover more about our cybersecurity solutions, as well as the recent CE 25.4 advancements, here and here. OpenText™ Observability and Service Management Organizations are needing to centralize their corporate help desks across various departments to drive efficiency, seamless support experience, and faster resolutions. OpenText™ Core Service Management now unifies cross-functions into one SLA-driven platform to better deliver consistency across internal and external support, with the addition of a new Customer Service Management (CSM) module. IT leaders can support ambitions to reduce costs, connect operations, and drive resilience at scale. By bringing business support functions and networks under one intelligent platform, you can confidently deliver more value, with less, by working smarter – not harder. Learn more about the specifications here. OpenText™ Experience CE 25.4 has taken steps to reimagine customer engagement and conversations within OpenText Experience Cloud, ensuring customer engagement is no longer simply measured by the volume of messages sent, but also defined by the quality, speed, and relevance of every interaction. In CE 25.4, innovations include: OpenText™ Core Journey introduces a new engagement feature to enable you to merge communications, messaging, and journey design into one interface, enabling customer service teams to launch personalized, multi-channel campaigns in days instead of weeks. For example, a retail brand can orchestrate a Black Friday shopping campaign across email, SMS, app notifications, and more, while still ensuring consistent messaging. The result? Stronger return-on-investment (ROI) and brand consistency. OpenText™ Core Communications, with OpenText™ Core DAM, OpenText™ Core Messaging, and OpenText Core Journey delivers our first multi-tenant integrated SaaS CCM solution. It is compliance-ready personalization on a greater scale. For example, a services team creating regulatory notices, can accelerate tasks into design and approval efficiently, delivering results in mere hours, rather than days. OpenText™ Fax Aviator™ brings AI capabilities to extract, assist, route, and summarize faxes in an intelligent workflow. For example, our protected and robust fax solution can assist hospital compliance teams with the ability to instantly summarize incoming patient records, route them securely, and extract data into EHR systems. This automation removes information retrieval burden to improve accuracy and empower medical professionals to focus on what’s important – patient care. Together, these updates set a new standard for customer engagement. Discover more about out the innovations listed above here. OpenText™ DevOps With our latest innovations, we continue to reimagine how enterprises in highly regulated and global enterprises accelerate software delivery, enforce compliance, and maintain full control in hybrid and sovereign environments: In CE 25.4, this includes: OpenText™ Core Software Delivery Platform with Aviator™ integrates with GitHub Copilot for seamless test creation, defect detection, and release governance directly into cloud, private cloud, and on-prem deployments. In addition, you can now utilize enhanced evidence qualification features to take siloed, amorphous data and turn it into verifiable proof of software readiness. This intelligent solution transforms how organizations prove and audit software quality, using AI to analyse, score, and explain evidence that once lived in PDFs and manual reports, neatly and quickly. With these enhancements, OpenText can help customers modernize their operations while safeguarding proprietary IP. OpenText™ Core Signature integration with OpenText Core Software Delivery Platform powers compliance-oriented checkoffs directly into the quality assurance process when developing software applications. Having eSignature integrated into agreements and quality signoffs, the solution enables organizations to finalize cross-border quality assurance in minutes, fully aligned to GDPR and eIDAS, marrying speed and certainty together. These innovations – either connected or in addition to an existing ecosystem - deliver more capabilities than ever before and redefine what enterprise DevOps can achieve. Read the full specifications of these updates and further understand how OpenText supports the developer community, here. OpenText™ Business Network Supply chain leaders and operations executives thrive on visibility. In CE 25.4, our innovations include: OpenText™ Aviator™ IoT combines IoT data streams with conversational AI. With the ability to access real-time orchestration and traceability via an Aviator chatbot, Aviator is helping enterprises transform IoT from a passive data source into an active driver of competitive advantage. OpenText™ Core Intelligence Aviator™ make operational insights conversational. With natural language at the center of operational intelligence, users of OpenText™ Trading Grid can now can simply ask questions such as “where are today’s high-risk shipments” and receive trusted answers instantly. For a logistics firm managing thousands of in-transit shipments, this might mean proactively rerouting a container flagged for potential delays. For a manufacturer, it could be detecting early signs of equipment failure before it cascades into a production stoppage. Our team of experts break these innovations down further here. OpenText™ Analytics & Legal Tech Developments to our leading OpenText™ Analytics Database (Vertica) introduces cloud-native flexibility, automatic performance tuning, and the ability to process massive, variable datasets with unprecedented efficiency. OpenText™ Intelligence Aviator™ for Analytics Database now brings the power of a conversational BI copilot directly into your enterprise, enabling leaders to query live data and receive trusted insights instantly. This eradicates slow and cumbersome dashboards or risks sensitive data transfers; the agent executes queries in-database and returns only the answers that matter. These innovations enable businesses to scale analytics with confidence and put decision-making power directly into the hands of the people who need it most. And finally… Don’t forget to become upgrade ready with Titanium X What I’ve shared here is just the beginning of what’s possible with CE 25.4. I invite you to explore our dedicated Titanium X Upgrade Hub, where you’ll find deeper insights into our latest innovations and intelligent capabilities. Now is the time to move beyond simply managing information and to reimagining it. Let the machines do the work so your business can focus on what truly matters. Growth. As a reminder, Titanium X brings these key values for customers: Enhanced productivity through automation of routine work Faster decision-making with embedded AI agents and insights Scalable integration across hybrid and multi-cloud environments Built-in enterprise security that simplifies compliance and reduces risk Revisit my CE 25.2 blog here for more details and hear from our expert Professional Services team about how they can help you, here. Looking for more?  For more on all the CE 25.4 innovations, visit our blogs, authored by subject matter experts, who guide you to the right solutions for your business as you continue to build your AI, cloud, and security journey. Additional resources: Book your place at OpenText World 2025 in Nashville 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 Delivering contextual AI: Unlocking trusted and secure Information Management with CE 25.4 appeared first on OpenText Blogs.

Electronic Data Interchange (EDI) has long been the backbone of global supply chains. With supply chain disruption remaining the new normal in 2025, EDI is evolving in real-time. As businesses face mounting pressure to make their supply chains more agile, resilient, and intelligent, EDI is not just a legacy, static data exchange tool, but a dynamic enabler of digital supply chain collaboration. The future of EDI: trends to watch in 2025 Here are the top trends shaping EDI and B2B integration into 2026 and beyond.   1. Use Agentic AI with EDI for more automation and autonomy  The rise of Agentic AI is redefining what EDI can do. The standardized and structured nature of EDI formats (e.g. ANSI X12, EDIFACT) and EDI data exchanges means less data cleaning is likely required before feeding it into AI models. AI can also more easily extract patterns and insights from EDI across different trading partners and business networks.   With structured, complete, and accurate EDI data, supply chain leaders can embed autonomous AI agents into EDI workflows to alert, interpret, act on, and optimize data in real time. This shift suggests a move away from manual troubleshooting of EDI onboardings, mappings and transactions, which often drains day-to-day productivity, toward using AI to free up resources to solve bigger supply chain challenges and drive growth-related innovation.   2. Use AI-driven data mappings to save time and money  One of the most time-consuming aspects of EDI has always been data mapping. AI is now accelerating this process by learning from semantic models and automating field matching, reducing setup time and simplifying updates over time. Generative AI makes EDI more accessible and scalable for organizations of any size that may not have a lot of in-house EDI expertise and need help handling day-to-day supply chain operations, for example:  Reduce support tickets and speed resolution times by enabling non-technical staff to handle the most common EDI issues using AI  Use AI-assisted self-service tools and chatbots to get answers in real-time to troubleshoot EDI transaction issues   Receive interactive guidance on how to better manage onboardings, compliance requirements, and more  3. Fuel AI-insights and predictive analytics with EDI data  Supply chain visibility is no longer about looking at a dashboard or running reports for future analysis. It’s making use of data as part of a real-time ecosystem. Digital twins and AI-powered analytics are giving organizations synchronized views of inventory, orders, and disruptions across their supply networks.  EDI archives contain rich transactional histories, and AI can use this data for inventory management, demand forecasting, anomaly detection, and overall supply chain optimization. For example, machine learning models can predict late shipments or inventory shortages based on past EDI 856 (Advance Ship Notices).  4. Get the most out of your IT ecosystem with hybrid connectivity  While API-based integration is growing in popularity throughout the tech world, legacy EDI standards and protocols remain essential. The future lies in hybrid connectivity where EDI and APIs coexist to support diverse IT ecosystems.   A hybrid approach offers flexibility, which helps organizations modernize without disrupting existing workflows or supply chain operations. APIs that work with EDI and can connect to common ERPs like ERPs, like SAP S/4HANA, Oracle Fusion, NetSuite, and MS Dynamics 365, are essential for businesses seeking agile, efficient, and future-ready supply chain integration.  This approach enables seamless automation, universal trading partner connectivity, and real-time supply chain visibility, supporting growth and resilience in a digital-first economy for any size organization – from SMB to mid-market to enterprise.  5. EDI as a Strategic Enabler  EDI has been around for decades for a reason, and it can continue to enable intelligent supply chains well into the future. The hybrid connectivity of EDI and APIs enable real-time decision-making and intelligent automation, for example, flagging unusual order volumes or automating dispute resolution workflows. Coupling EDI and APIs with your ERP – improving B2B integration overall – can also assist with AI-readiness giving you a competitive edge in supply chain agility, resilience and collaboration.   However, enabling AI to fully deliver on this potential requires more than just connecting EDI, APIs, and ERP. It also depends on having a truly integrated ecosystem that AI can seamlessly access. A fragmented landscape of disconnected systems creates barriers, preventing AI from drawing on comprehensive data across the organization. Without unified access, insights remain partial. A fully integrated ecosystem ensures AI has the breadth and depth of data needed to unlock end-to-end supply chain visibility and smarter, more proactive decision-making.  Smarter supply chains start with OpenText  As digital transformation accelerates, the need for intelligent, agile integration will only grow. OpenText stands at the forefront of this evolution, providing the tools and expertise needed to connect people, systems, and data across your business so you can connect, collaborate, and thrive in a cloud-first, AI-driven world.   OpenText Business Network Cloud provides a centralized platform for integrating suppliers, logistics providers, and customers. Our B2B Integration solutions enable end-to-end visibility and automation, so you can respond faster to customer demands, mitigate risks, and drive growth.  The post Top EDI trends to know in 2025 appeared first on OpenText Blogs.

Following the ideas shared in my previous blog, where we explored how asset operations reimagined turns every operational moment into value, this post takes a closer look at how those concepts apply to another critical business process in asset-intensive organizations: capital projects.  The world’s energy mix and infrastructure are changing in front of our eyes and record levels of capital investment is making it happen. Annual energy capex investment alone is on track to hit a record $3.3 trillion in 2025.  Whether you're in utilities, oil and gas, chemicals, metals and mining, the ability to execute capital projects, on-time and on-budget is essential to achieving your financial targets.  A vision for AI-driven projects  Capital projects reimagined begins with a fresh perspective on how information flows through the entire project lifecycle from planning to engineering & desing through handover and commissioning. In this context, information refers to any important data - whether it's engineering documents, QA/QC reports, project daily reports, or transactional data with vendors - processed by humans or machines at any stage. To reimagine project execution is to rethink how this information is unified, contextualized, and made accessible across your project goals, workflows, and systems. Increasingly, artificial intelligence (AI) plays a pivotal role in this transformation - analyzing vast volumes of data in real time, identifying risks, optimizing schedules, and recommending actions that improve decision-making. It’s about enabling a seamless flow of unified information across departments, throughout the organization, and even beyond - to contractors, suppliers, and service providers that support your project success. This shift breaks down information silos and empowers your project teams to deliver projects safer, faster, and with greater control.  Information unification for capital projects  Information is everywhere across projects - but it’s often disorganized, disconnected, unautomated, or unprotected. Engineering documentation, work packages, contractor communications, safety protocols, procurement data, and so much more are frequently trapped in information silos. Modernizing infrastructure and growing energy and essential commodity production accelerates when project information is unified.  As a former field engineer, I experienced this firsthand - accessing five different systems just to prepare for a single project. A unified platform connects related forms of project information at their source into a single, accessible view, reducing friction and enabling safer, more efficient, and more informed decision-making across the entire project lifecycle.  Service management unification for capital projects  Every project challenge has a moment of truth - will it be resolved or not?  Often, the answer is buried in project documentation or scattered across disconnected systems. Sometimes, it’s not captured at all. Just as holes can appear in work coveralls, information holes can form in the digital fabric of an enterprise - disrupting project workflows, delaying decisions, and increasing project risk. The future of capital project execution depends on weaving a stronger, more complete and resilient digital fabric by unifying service management. With GenAI-powered tools, project teams can self-resolve issues instantly - reducing delays, minimizing safety incidents and enabling faster, more informed decisions throughout the project lifecycle.  Modern user interfaces for project execution  Today’s capital project workforce - and the broader ecosystem of contractors, suppliers, and service providers that act as an extension of your project team - expects intuitive, responsive, and personalized digital experiences. The future of project execution delivers modern user interfaces tailored to the needs of project managers, engineers, safety personnel, and executives.  Whether through AI assistants, mobile-first dashboards, or self-service portals, these interfaces reduce digital friction and simplify engagement with complex project systems. By streamlining access to information, modern UIs empower everyone - from project crews to strategic vendors -to focus on what matters most: safety, quality, schedule adherence, and project performance.  Digital workers and process automation for capital projects  Manual, repetitive tasks in capital projects consume valuable time and reduce focus on safety, schedule, and quality. The vision for modern project execution introduces secure, AI-powered digital workers that automate access to project documentation, compile work packages, deliver real-time insights into procurement status, monitor contractor performance, and more. By automating routine tasks, project teams are freed to focus on higher-value work - reducing errors, improving safety, and enhancing quality across the project lifecycle.  Unified security for capital projects  While cybersecurity is typically led by IT, project leaders need confidence that the systems they rely on are secure by design. The vision for capital project execution includes built-in protection - ensuring that trusted information, digital workflows, and contractor information exchanges are safeguarded without adding complexity. This allows projects teams to stay focused on what matters most: delivery safely, on time, and on budget.  Read this executive brief and top reasons brief for capital projects reimagined for energy and resources.  The post Capital project execution reimagined for energy and resources  appeared first on OpenText Blogs.

When TSMC's WannaCry virus outbreak hit in August 2018, the incident cost the world's largest contract chipmaker $255 million in just three days, disrupting Apple iPhone production and exposing how quickly operational failures cascade through semiconductor supply chains (Source: ITPro). The root cause? A single unpatched Windows 7 computer that wasn't properly tracked through their system deployment process.  This wasn't just an IT failure; it was a traceability breakdown with massive financial consequences.  Fast-forward to April 2024, when Taiwan's strongest earthquake in 25 years struck the island that produces 60% of the world's semiconductors. TSMC, United Microelectronics Corp., and Powerchip Semiconductor Manufacturing Corp halted production and evacuated plants (Source: SilicoExpert). While TSMC's employees returned to work only hours after the aftershocks, the incident highlighted the semiconductor industry's vulnerability to both natural disasters and operational disruptions (Source: Fortune).  The semiconductor industry faces an unprecedented traceability crisis. As geopolitical tensions reshape global supply chains and regulatory requirements intensify, manufacturers are scrambling to achieve chip-to-assembly visibility across increasingly complex networks.  With global compliance requiring archiving supply chain and process data for 10–15 years (Source: DRYield), manufacturers need comprehensive strategies that transform how they capture, manage, and share critical information across their entire ecosystem.  The hidden costs of poor semiconductor traceability  End-to-end traceability means tracking every component, process step, and decision from initial design through final assembly. This includes wafer lot genealogy, tool maintenance records, material certifications, process parameter logs, and quality test results—all linked together to create a complete product history.  Without this visibility, manufacturers face cascading consequences:  Operational paralysis during crises: Engineering teams spend days hunting for documentation instead of solving problems, turning 4-hour root cause analyses into multi-week investigations Audit nightmares: 30% of manufacturers reported delays and compliance issues due to disconnected data systems (Source: Docsie) Supply chain vulnerability: Manufacturers struggle to qualify alternative suppliers during disruptions, extending delays and losing competitive positioning Customer relationship strain: Aerospace and automotive customers increasingly demand complete component traceability as a contract requirement Amplified recall impact: Product recalls expand from specific lots to industry-wide crises when manufacturers can't quickly identify affected products  Why traditional approaches fail  Most semiconductor manufacturers have invested heavily in individual systems - PLM for design data, MES for production, QMS for quality records, and ERP for business processes. The problem isn't these systems; it's the gaps between them.  The documentation breakdown  Critical documentation creates traceability foundations, but traditional approaches consistently fall short:  Version control chaos: Engineers generate thousands of specifications and process recipes. When documents exist in disconnected systems, teams lose track of current versions, leading to production errors based on outdated information.  Manual bottlenecks: Quality teams spend much of their time manually uploading test results and certificates into multiple systems, introducing errors and preventing real-time visibility.  Search failures: Engineers need instant access to specific parameters and maintenance records but face complex folder structures and basic keyword searches that miss critical information.  The network gap  43% of industry leaders now prioritize networked supply chains to reduce visibility gaps (Source: KPMG). Modern manufacturing depends on complex supplier networks and customer integrations that isolated systems cannot coordinate effectively.  Strategic solutions: Building effective traceability  Leading manufacturers implement comprehensive approaches addressing both technical and operational challenges:  Unified information architecture Centralized documentation: Create unified metadata layers connecting information across existing systems, preserving specialized tool investments while enabling cross-system visibility Automated data capture: Implement workflows capturing critical information at the source—from manufacturing equipment, supplier portals, and testing systems Intelligent retention: Automate archiving systems, preserving 10-15 year accessibility while managing costs and regulatory compliance  Supply chain network integration  Digital supplier ecosystems: Secure platforms where suppliers directly share certifications and compliance documentation, enabling real-time supply chain visibility Standardized information exchange: Industry-standard data formats ensure seamless information flow between manufacturers, suppliers, and customers Proactive risk monitoring: Automated systems monitoring supplier health, geopolitical risks, and quality performance enable proactive alternative qualification  Advanced analytics and intelligence Predictive quality analytics: Machine learning analyzes historical data to predict quality issues, enabling preventive actions that reduce defects Automated compliance reporting: Intelligent systems continuously monitor regulations and generate compliance reports automatically Real-time dashboards: Executive visibility into supply chain status, quality trends, and compliance posture enables proactive decision-making  Implementation strategy  Successful traceability transformation requires phased implementation:  Phase 1: Foundation  Assess current information flows and identify critical gaps Establish unified metadata standards Implement automated data capture for highest-risk processes  Phase 2: Integration  Connect key suppliers through standardized digital interfaces  Establish real-time information sharing protocols Implement proactive monitoring systems  Phase 3: Intelligence  Deploy predictive analytics Automate compliance reporting Establish continuous improvement processes  Measuring success  Leading manufacturers track specific metrics ensuring traceability investments deliver value:  Audit preparation time: Reduction through automated documentation Root cause analysis speed: Complete investigations in days rather than weeks Supplier qualification time: Reduce from months to weeks through standardized processes Compliance cost reduction: Lower ongoing costs through automation and monitoring  The strategic imperative  The semiconductor industry's complexity will only increase as advanced node manufacturing expands, and geopolitical pressures intensify. Manufacturers investing in comprehensive traceability systems today achieve sustainable competitive advantages, while those relying on fragmented approaches face escalating risks and costs.  Traceability isn't just compliance—it's strategic capability enabling faster innovation, stronger customer relationships, and more resilient operations.  Ready to transform your strategy?  The manufacturers dominating tomorrow's market are building comprehensive visibility systems today. Whether through internal development, strategic partnerships, or integrated platform solutions, the critical step is beginning transformation before competitive pressures make change more complex.  Visit OpenText at Semicon West 2025 for an exclusive demonstration of how integrated Content Cloud and Business Network solutions are helping semiconductor leaders and manufacturers achieve:  Reduction in recall scope through precise lot tracking Hours instead of days for regulatory compliance documentation Faster process qualification with unified data visibility Automated export control compliance, eliminating manual documentation risks  Don't let traceability gaps become your competitive disadvantage. Connect with our semiconductor experts at Booth #SM4 to discover how OpenText can accelerate your path to operational excellence.  The future belongs to semiconductor manufacturers who master end-to-end traceability. The question is whether your organization will lead this transformation or be forced to catch up.  The post Solving the semiconductor supply chain traceability crisis appeared first on OpenText Blogs.

The healthcare industry is witnessing an unprecedented technological transformation as artificial intelligence reshapes the fundamental dynamics between payers and providers. What has emerged is nothing short of an "AI arms race" - a competitive battle where insurers and healthcare providers are rapidly deploying sophisticated algorithms to gain strategic advantages in claims processing, revenue cycle management, and patient care delivery. The current landscape: Payers take the lead As of 2024, insurers appear to have gained the upper hand in this technological competition. Major players like UnitedHealth, Humana, and Cigna have already integrated algorithmic decision-making tools into their claims review processes, fundamentally changing how coverage decisions are made. This early adoption advantage has positioned payers to process claims more efficiently while potentially reducing costs through automated denial and approval systems. The numbers tell a compelling story about the rapid adoption of AI across healthcare. Recent surveys indicate that 85 percent of healthcare leaders - spanning payers, health systems, and healthcare service organizations - are either exploring or have already implemented generative AI capabilities (McKinsey & Company, 2024). More specifically, 25 percent of payers report having established AI strategies in 2024, compared to just 15 percent of providers, highlighting the gap in technological readiness between these two critical stakeholders (Healthcare Financial Management Association, 2024). The provider response: Racing to catch up Healthcare providers haven't remained idle in this technological revolution. Approximately 46 percent of hospitals and health systems are now utilizing AI solutions (HIMSS, 2024), particularly in revenue cycle management (RCM), where the technology is becoming a decisive factor between financial success and struggle. The focus on RCM makes strategic sense - providers face increasing pressure to optimize their financial operations while managing complex billing processes and insurance interactions. Revenue cycle management has emerged as the primary battleground where AI is making the most immediate impact. Providers are leveraging AI to streamline billing processes, reduce claim denials, and improve cash flow. This technological adoption represents a defensive strategy against increasingly sophisticated payer AI systems that can identify and deny claims with unprecedented speed and accuracy. The stakes: Financial performance and patient care The implications of this AI arms race extend far beyond technological innovation. For payers, AI implementation offers the promise of reduced administrative costs, improved fraud detection, and more accurate risk assessment. Automated claims processing can significantly reduce the time and human resources required to evaluate coverage decisions, potentially leading to substantial cost savings. However, this efficiency comes with potential risks. As AI systems become more aggressive in identifying potentially unnecessary or fraudulent claims, providers may face higher denial rates, forcing them to invest more resources in appeals processes and documentation. This creates a cascading effect where providers must deploy their own AI systems to ensure proper claim submission and appeal management. For providers, the stakes are particularly high. Healthcare organizations operating with thin margins cannot afford to lose revenue to AI-driven claim denials. The deployment of AI in revenue cycle management has become less about gaining competitive advantage and more about survival in an increasingly automated healthcare economy. Technological infrastructure: The foundation of competition The race isn't just about deploying AI - it's about building the technological infrastructure to support large-scale automation. According to recent industry surveys, 79 percent of payer IT and operations leaders report that their organizations are actively enhancing technological capabilities to support comprehensive AI deployment (Accenture Health Technology Survey, 2024). Furthermore, 70 percent indicate that modernization initiatives are currently in progress. This infrastructure development represents a significant financial commitment. Organizations must invest in data integration systems, cloud computing capabilities, and cybersecurity measures to support AI implementation. The complexity of healthcare data, with its various formats, regulatory requirements, and integration challenges, makes this technological transformation particularly demanding. The regulatory and ethical dimension As AI systems become more prevalent in healthcare financial operations, regulatory oversight is intensifying. The automated nature of AI decision-making raises questions about transparency, accountability, and patient rights. When an AI system denies a claim or coverage request, patients and providers need clear pathways for appeal and human review. The ethical implications are equally complex. While AI can improve efficiency and reduce costs, it must not compromise patient care or create barriers to necessary medical treatments. The challenge lies in balancing the financial benefits of automation with the fundamental healthcare mission of providing appropriate patient care. Looking ahead: The future of the arms race The AI arms race in healthcare is still in its early stages, with significant developments expected throughout 2025 and beyond. Value-based care arrangements are becoming more prevalent, with 45.2 percent of healthcare payments now flowing through such arrangements (Health Care Payment Learning & Action Network, 2024)—a trend that will likely accelerate AI adoption as both payers and providers seek to optimize outcomes and costs. The emergence of generative AI presents new opportunities and challenges. These advanced systems can provide more sophisticated analysis of medical records, generate detailed reports, and even assist in clinical decision-making. However, they also require more robust governance frameworks and quality assurance processes. Conclusion: Collaboration or continued competition? The payer-provider AI arms race represents both a challenge and an opportunity for the healthcare industry. While competition drives innovation and efficiency improvements, the ultimate goal should be better patient outcomes and more sustainable healthcare economics. Success in this technological transformation will require more than just deploying the most advanced AI systems. Organizations must invest in change management, staff training, and collaborative approaches that leverage AI to improve the entire healthcare ecosystem rather than simply gaining advantage over other stakeholders. As this arms race continues to evolve, the winners will likely be those who can balance technological sophistication with human-centered care, regulatory compliance, and ethical responsibility. The future of healthcare finance may depend not on who has the most powerful AI, but on who can use these tools most effectively to serve patients while maintaining financial sustainability. Are you ready to work with us? Learn more about how OpenText solutions for healthcare can help you address challenges in your organization. The post The payer-provider AI arms race appeared first on OpenText Blogs.

Transform safety, operations, and business execution with information reimagined as cloud, cybersecurity and AI converge The world is in a race for energy and essential commodities such as water, minerals, metals, and chemicals that power economies and sustain life. As global demand intensifies and operational complexity increases, the energy and resources sector faces a defining moment to innovate. This asset-intensive sector—spanning utilities, oil & gas, chemicals, metals and mining, and engineering, procurement, and construction (EPCs)—must evolve rapidly to ensure safe, reliable, and resilient operations. At OpenText, we believe that with the convergence of cloud, security, and AI, anything that moves can now be autonomous—including the flow of information securely across and beyond organizational boundaries. Our new Energy & Resources industry solutions hub is designed to help organizations in this sector explore and reimagine how information management technologies and best practices can transform operations and the enterprise and ensure the safe delivery of critical commodities to the world. We’re inspired at OpenText—and I’m personally inspired, having been an operational user of information within this industry—to reimagine what information can do to elevate human potential across every department that directly or indirectly supports any point along the asset lifecycle. Information Management Innovations In the energy and resources sector, information is more than just data—it’s a critical asset that drives safety, efficiency, and execution. The Innovations section of our Energy and Resources Solutions Hub explores how organizations can reimagine information across complex, asset-intensive industries such as utilities, oil & gas, chemicals, mining, and EPCs. Information includes any important data, at any stage, processed by humans or machines. To reimagine is to think about something in a completely different way—whether it’s business goals, processes, or how information flows across a department, an entire organization, and beyond, between you, your customers, and your partners. This Innovations section highlights how the OpenText portfolio of solutions supports the future knowledge worker—empowering them to work smarter, safer, and more efficiently.  Discover energy and resources market solutions This section highlights how OpenText delivers solutions across key industries within the energy and resources sector—including utilities, oil & gas, chemicals, metals and mining, and EPCs. While these industries share common characteristics—such as being asset-intensive, facing safety hazards, navigating regulatory compliance, and managing operational risk—each also encounters unique information challenges. OpenText provides information management solutions to address the specific needs of companies in these industries, which is one reason why we serve hundreds of organizations across each of these industries in their information management journey. Use Cases and more Industry Solutions There are hundreds of information management use cases that elevate human potential across the energy and resources sector. From streamlining asset maintenance to automating compliance reporting, the possibilities are vast—and constantly evolving. While it’s not possible to list them all, the six featured use cases on our Energy & Resources hub represent the ‘art of the possible’ and innovative ways organizations are transforming their businesses today. Information can be reimagined across any department—engineering, operations, compliance, IT, and beyond. Our “Explore More Solutions” section invites you to dive deeper into the topics and roles that matter most to your organization. Simply click on the department or area of interest to discover additional use cases, solution insights, and executive briefs.   Learn more about OpenText industry solutions for energy and resources. The post Industry Solutions to Elevate Human Potential Across Energy and Resources appeared first on OpenText Blogs.

As summer arrives in the Northern Hemisphere, there's a familiar shift in pace—schools slow down, out-of-offices go up, and calendars open just enough to take a breath. For many, this season invites a moment to reset, reflect, and prepare for what’s next. And at OpenText Business Network, that’s exactly what our latest releases do for your digital supply chain: they deliver fresh innovations to reduce complexity, respond to evolving customer needs, and help businesses thrive in a world that's always on. OpenText™ Business Network is a leading cloud platform for B2B integration and supply chain collaboration, enabling organizations to connect systems, partners, and data across complex ecosystems. With AI-driven insights, built-in compliance, and a highly secure infrastructure, the platform helps global businesses digitize operations, boost agility, and scale with confidence. Since our last update in December, we’ve delivered two major releases—25.1 in January and 25.2 in April—packed with enhancements that simplify operations, strengthen resilience, and accelerate decision-making. Here’s what’s new: Smarter Insights with Command Center and Trading Grid with Aviator AI continues to take center stage in Business Network, making it easier for users to analyze integration health and act faster: Error message analysis: When B2B transaction errors occur, identifying the root cause can be time-consuming. This feature uses AI to surface patterns, diagnose recurring issues, and suggest resolutions in real time—reducing delays and improving recoverability. Trading Grid Insights Error Analysis  Ask Aviator for Command Center—Integration Monitor: Business users can now get instant answers about document flows, partner activity, and platform performance—without needing technical expertise. This helps teams monitor operations proactively and resolve issues before they impact customers. Ask Aviator in Integration Monitor  Payload Analysis: Business users no longer need to interpret raw EDI data on their own. With Aviator, anyone can simply ask a question in natural language—like “What is this invoice for?”—and instantly receive a plain-English explanation. It’s a game changer for making complex supply chain data understandable and usable across teams. Trading Grid with Aviator Payload Viewer  Transaction Finder: Give your team the power to explore transaction data their way. Using intuitive, conversational search, users can uncover specific insights—such as delayed shipments or missing acknowledgments—without digging through multiple screens. It’s flexible, fast, and built for real-time answers. Trading Grid with Aviator Transaction Finder  Enhanced Historical Analytics: REST APIs and deeper insights into partner and document metrics make it easier to track long-term integration trends and power custom reporting. Elevating Trading Grid Insights Formerly known as Trading Grid Lens, Trading Grid Insights is now tightly integrated with Aviator for real-time, AI-driven queries: Service Traffic Prioritization: New visibility tools allow IT to manage low- vs. high-priority traffic during peaks, ensuring consistent uptime and service levels. Partial Processing Status: Improved tracking for partially processed documents helps teams stay on top of exception handling and reduces bottlenecks. Global Compliance at Your Fingertips Keeping up with eInvoicing mandates worldwide is no easy task—but we’ve made it easier with expanded compliance capabilities: 25.1 introduced support for the latest Franco-German Factur-X and ZUGFeRD standards, including German X-Rechnung validation. 25.2 added support for Romania (via in-house development), Singapore, and E-Reporting on our TG E-Invoicing Navigator platform. Integration Enhancements: Secure, Scalable, and Self-Service Advanced SFTP & Containerization: Enhanced security and streamlined deployment are delivered through advanced SFTP support and containerized services for Messaging and Data Integrator. ERP Adapter Expansion: New integrations include SAP S/4HANA P2P, Oracle Fusion SCM, MS Dynamics 365 (Finance & Operations, Business Central), and NetSuite—simplifying ERP-to-B2B integration across more environments. Self-Service Capabilities: From onboarding partners to deleting records and setting up translation maps, our TG Quick Connect workflows reduce onboarding time and empower business users to act independently. Enhancing Supplier Collaboration Purchase Order Negotiation: Businesses can now collaborate on POs with trading partners before syncing into back-end systems, improving accuracy and reducing order rework. Package Codes and PO Notes: Shipment and order data are now more precise with added support for dimensional package data and embedded notes. Expanding Platform Access and Security SCIM and SSO Enhancements: Streamlined provisioning of users and partners across systems improves identity governance and speeds up community onboarding. Vault & Key Management: Credential management now aligns with enterprise security standards, reducing risk and meeting compliance mandates. Performance and Productivity Boosts Faster Processing: Onboarding and deduction tasks are now processed more efficiently, with split batch processing minimizing delays. Improved Portal Search and Custom URLs: Enhancements to Core Collaboration Access include more comprehensive search and support for customer-branded URLs in shared communities. A Season of Growth with OpenText Business Network Just like summer offers time to pause and plan, OpenText Business Network’s latest innovations help you step back, realign, and move forward with purpose. Whether it's gaining real-time insights, streamlining compliance, or giving your teams more control, our 25.1 and 25.2 releases are designed to help you build smarter, more connected supply chain ecosystems. We’re excited about what’s ahead—and we’ll be back later this year with even more updates to keep you moving forward. The post What’s New in OpenText Business Network Cloud appeared first on OpenText Blogs.

As someone who has spent over two decades in the energy sector before joining OpenText as an Industry Strategist, I've witnessed first hand the operational challenges faced by energy and resources corporations that have root causes stemming from inadequacies in information management. Today, I'm excited to share how organizations across utilities, oil and gas, chemicals, metals and mining, and engineering and construction can leverage information management to achieve $1 billion in operational savings over the next decade, using the same strategies OpenText employs. Our approach combines innovative technology solutions with operational excellence to transform IT cost structures while enhancing productivity and elevating human potential across the enterprise. The Unique Challenges Facing Energy and Resources Organizations Energy and resources companies operate in an environment of volatile commodity prices, stringent regulatory requirements, complex asset management needs, and increasing pressure to improve safety while maintaining profitability. Many organizations in this sector struggle with: Aging infrastructure requiring significant maintenance resources Siloed data systems Complex document management requirements for regulatory compliance Complex supply chains and B2B ecosystems that play a key role in keeping assets running for longer High costs and safety risks associated with field and facility operations Increasing cybersecurity threats to critical infrastructure These challenges create significant operational inefficiencies that directly impact the bottom line. At OpenText, we've developed a blueprint for using our own portfolio of information management solutions to transform operations, optimize systems, and simplify complexity.  This blueprint can be used by organizations across the energy and resources sector to unlock measurable value – like $1 billion in savings over the next 10 years and perhaps even more. The Five Pillars of $1 Billion in Savings OpenText recently announced an ambitious initiative to achieve $1 billion in operational savings over the next decade by leveraging our own software solutions. This strategy is built around five key areas that are particularly relevant to energy and resources corporations: Data Center Consolidation and Cloud Optimization For energy companies managing operations across multiple locations, consolidating data centers and optimizing cloud environments can yield approximately 15% of total savings. This represents about $160M in savings in our plan to reach $1B in savings. By migrating from fragmented, on-premises systems to unified cloud platforms, companies can reduce infrastructure costs while improving data accessibility and security for both office and field personnel. Systems and Tools Rationalization Many energy corporations operate with dozens of disconnected systems accumulated through years of operations and acquisitions. CIOs are prioritizing consolidation by rationalizing these systems – which represents the largest savings opportunity at 35% of potential cost reduction. This amounts to about $375 million in savings for OpenText and likely even more for many companies across the energy and resources sector. Companies can eliminate redundancies and create a unified operational view that supports better decision-making across the entire asset lifecycle and supporting business functions. Process Improvement, Automation and AI Asset intensive operations involve thousands of repetitive processes that are ideal candidates for automation.  Our belief is that with cloud, security, and AI anything that moves, including information, can now be autonomous. By implementing intelligent process automation and AI-driven workflows, companies can achieve approximately 15% of their total savings. While freeing highly skilled workers to focus on safety and value-added activities instead of routine, and error prone tasks. Employee Productivity and Efficiency Improvements Facility operations across the energy and resources sector often suffer from information delays and communication challenges. Digital solutions that connect field and facility workers with real-time information and collaboration tools can drive approximately 25% of potential savings through improved workforce productivity and reduced downtime. Cost Avoidance Through Proactive Management Proactive management of assets and operations can help energy companies avoid approximately 10% of costs. By implementing predictive maintenance and other information management solutions, organizations can prevent costly equipment failures, operational disruptions, and safety incidents before they occur. Just as all safety accidents are preventable, so are other business challenges using information management best practices and technologies. The Path Forward By following OpenText's blueprint for saving $1 billion in cost savings, companies across the entire energy and resources sector can achieve similar transformative savings while positioning themselves for sustainable growth into the future. To learn more about how your organization can leverage OpenText solutions to achieve substantial operational savings, visit How to save $1 billion the OpenText Way and sign up for a Professional Services Workshop. How can OpenText work with you? Learn more about OpenText solutions for Utilities, Chemicals, Oil and Gas, Metals and Mining and Engineering, Procurement and Construction that can help you work smarter in 2025 and beyond. The post How to Save $1B for Energy and Resources Corporations the OpenText Way appeared first on OpenText Blogs.