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.

Imagine you’ve found the perfect opportunity with a new customer. Discussions seem promising, you're practically shaking hands on the deal, and they drop the question: “Are you EDI (electronic data interchange capable?” Suddenly, having an EDI strategy —a vague concept just moments ago— becomes mission critical.  This scenario is incredibly common. If it isn’t that, it could be a merger or acquisition demanding system integration, growth initiatives necessitating rapid partner connections, your legacy software hitting end-of-life, or even the retirement of the one person who knows your systems inside and out. The trigger can vary, but I find the last-minute scramble to get an EDI solution up and running, to be a recurring theme.  It's understandable that these sudden EDI mandates create anxiety, and I see that firsthand in the questions businesses ask us, as we begin scoping their EDI strategy projects. I’ve heard everything from “Will we have transaction visibility?” and “How quickly can we get this EDI solution up and running?" to the frequently asked “Can you integrate into our existing environment, like a plug-and-play?”   This blog aims to demystify EDI, drawing on my experiences with our customers, as an Account Development Executive at OpenText Business Network.  5 Signs you need to update your EDI strategy Is it time to update your EDI strategy? Look for these telling signs:  1. Aging systems  Just the other day, I met with the CTO of a manufacturing company facing a major hurdle: their on-prem infrastructure had become a leaky bucket, making outsourcing EDI their only way to plug the resource drain.  Customers are often tied to in-house systems that, despite past customization, now limits their ability to adapt to the rapidly changing B2B integration landscape. This is exactly the kind of challenge an experienced EDI vendor is equipped to handle. We can swiftly grasp the complexities of your systems and leverage our proven expertise, shortening your learning curve and ensuring a smoother transition.   Key takeaway: Don’t divert valuable time and resources away from your core business and wait for inefficiencies to creep in so deep.  Ecolab precisely illustrates this challenge. The complexity and high costs of their in-house EDI solutions became a significant business impediment, ultimately leading them to seek our expertise.  2. Global expansion  Businesses can no longer afford to ignore the global marketplace. But scaling globally means diving headfirst into a vortex of complex B2B information flow—borders, time zones, languages, and the ever-shifting sands of trade mandates. Recent tariffs have turned this challenge into a fight for survival, demanding rapid partner onboarding and a trading partner matrix that bends, not breaks.  This reminds me of a European apparel company that was looking to strengthen their relationships with US retail giants. They came seeking our expertise and existing relationships with Nordstrom and Macys among other giant retailers of the world, to solidify their operations. Now, flip that scenario. US companies grappling with EU cross-border trade and e-invoicing mandates? It's a whole different beast. I've personally witnessed how the B2B complexity multiplies, turning simple EDI transactions into a logistical nightmare.   Key takeaway: Don't burden your local team with global complexity. Instead, tap into an EDI vendor with a proven global network, a network your potential partners are likely already plugged into.  Plastipak demonstrates this perfectly. They bolstered their small IT team with an EDI strategy that improved business agility as they scaled globally.  3. ERP integration  Let me tell you about an F&B company I met with, that was knee-deep in an ERP migration project. The IT Director was convinced the new ERP would be a game-changer. But, as they say, the devil is in the details. The first hurdle? B2B integration. Turns out, there were about 10 different touchpoints, one of which was EDI, that needed seamless data flow into and out of the ERP. Weeks turned into months, as they swept through data, scattered across systems like confetti after a parade. The SI finally reached out to us, their EDI vendor, to help map out their ecosystem.   We make EDI integration remarkably straightforward with pre-built adapters for SAP, Dynamics 365, NetSuite, and practically any major ERP out there. Whether it's a full migration, a version upgrade, or simply automating processes with ERP integration, our experience shows the smoothest projects bring us in early, making sure EDI doesn't become a last-minute headache.   To illustrate the difference: integrated ERP-EDI systems pave a smooth, predictable path to effective trading partner collaboration, clear supply chain visibility, and minimal disruptions. In stark contrast, manual data entry is like trying to navigate rush hour with a map drawn on a napkin, while your trading partners are constantly changing the route, and every wrong turn hits you with a hefty penalty.  Key takeaway: Bring in EDI experts early. Ultimately, it’s an ROI question: is it more profitable to constantly address ASN nightmares, or invest in a solution that eliminates errors from the start?  The latter proved profitable for CNH. They now operate a supply network with seamless B2B integration between ERP systems, trading partner networks, and transactions.  4. Digital transformation  I’ll never forget this interesting conversation I had with the newly appointed IT manager at an automotive company – he inherited a system that was, shall we say, creatively assembled. At that point, an EDI strategy was practically non-existent as the EDI setup was a spaghetti mess of legacy systems, manual workarounds, and enough spreadsheets to wallpaper a warehouse. The evident shortcomings of the handover process (or rather the lack thereof) were immediately apparent, as our initial conversations were entirely dedicated to basic system familiarization. It naturally progressed into a vendor consolidation project for their VANs and EDI translation software, a common scenario we see.  We are well-versed with the expectations for new IT managers, Directors or VPs to deliver process efficiencies and cost-savings. Successful implementation of such initiatives often hinges on EDI modernization, which drives automation. A strategic project like that could help achieve both immediate and long-term IT efficiency goals.  Key takeaway: Don't settle for duct-tape solutions. Strategic EDI investment in a future-proofed EDI system is a more visionary and sustainable approach than perpetually mending a patchwork quilt of outdated systems.  Here's how Metal Tech MFG transformed their processes. They made a strategic shift from an on-premises system to a modern cloud platform.  5. Support failures and material breaches  No lawyers involved (yet!), but the frustration a retail supplier I met felt, when their EDI support went MIA, might explain the title. For years, they relied on a seemingly adequate EDI vendor: transactions flowed, orders processed, invoices exchanged. However, critical support incidents—trading partner connection failure, mapping errors, or a compliance hiccup— revealed an agonizing reality. Their IT team, already stretched thin, would spend hours on hold, wading through endless support tickets, and receiving vague, delayed responses. The true cost became apparent during a peak season, with significant ASN chargebacks and strained trading partner relationships.  Sadly, it's a pattern I've observed repeatedly: the initial cost savings of a seemingly 'good deal' often masks a support nightmare, exacerbated by the painful and time-consuming prospect of migrating to a new EDI vendor.   Key takeaway: Don't let poor support sabotage your operations. When those initial 'savings' are consistently eroded by costly chargebacks and countless wasted IT hours, the question inevitably arises: at what point does rational decision-making override the sunk-cost fallacy?  We understand this critical need for reliability, which is why our robust Service-Level Agreements and proactive support teams demonstrate our deep commitment to providing a stable and dependable platform.   Discover how our customers are deriving significant value from their investments with OpenText.   Let's tame your EDI together  While an EDI strategy project might appear daunting, the true complexity lies in managing the consequences of broken processes. Partnering with a reliable EDI provider can take the stress out of the project.  We believe in building strong partnerships and providing the service you deserve. If you're ready to move away from reactive fixes and towards a stable, efficient platform, I encourage you to explore our easy EDI integration solutions and get in touch.   Let's talk about your unique EDI requirements and how we can help.   The post Top 5 signs you need an EDI strategy and B2B integration insights  appeared first on OpenText Blogs.

Financial Services Institutions (FSIs) face a pivotal moment: capturing the attention and loyalty of Generation Z (Gen Z). Born between 1997 and 2012, this digitally native cohort is redefining financial landscapes with expectations for instant results, ethical practices, and seamless digital experiences. For FSIs ready to evolve, the potential is immense.​ Decode the Gen Z financial consumer Gen Z embodies a blend of caution and ambition. Having witnessed economic downturns like the 2008 financial crisis, they are prudent yet entrepreneurial. While they may harbor skepticism toward traditional banking, they are eager to build wealth and prioritize financial security earlier than previous generations. Notably, Gen Z is projected to become the wealthiest generation by approximately 2035, primarily due to a significant wealth transfer from Baby Boomers. ​ The digital mandate: Beyond basic banking For Gen Z, digital proficiency is non-negotiable. A staggering 99% have used a mobile banking app in the last month, with nearly 50% managing their finances exclusively via smartphones. Moreover, 60% prefer to open accounts directly from their mobile devices. ​ Embedded financial experiences FSIs can thrive by integrating services into Gen Z's daily digital routines. This includes payment options within social platforms, investment opportunities in gaming environments, or banking services accessible through lifestyle apps. When financial management becomes an organic part of daily activities, Gen Z is more likely to engage. Invisible banking infrastructure Gen Z favors financial services that operate seamlessly in the background. They desire systems that automate savings, align investments with their values, and manage recurring payments autonomously. FSIs that handle financial complexities behind the scenes while offering simple interfaces will resonate with this demographic.​ The ethics edge: Purpose-driven banking Gen Z is deeply influenced by ethical considerations. Approximately 51% cite environmental, social, and governance (ESG) factors as important when choosing a payment provider. ​ Values-aligned investments FSIs offering transparent, values-based investment options gain significant traction with Gen Z. This involves creating portfolios that exclude industries like fossil fuels or weapons manufacturing while highlighting sectors such as renewable energy, education, and healthcare. Importantly, these options must provide competitive returns, demonstrating that ethical investing doesn't necessitate financial sacrifice.​ The speed imperative: Banking at Gen Z's pace Accustomed to instant gratification, Gen Z finds traditional banking timelines sluggish. They expect real-time transactions, immediate account openings, and swift loan approvals. FSIs must invest in infrastructure that supports these expectations to remain relevant.​ Frictionless onboarding With an average attention span of just 8 seconds for apps before abandonment, every additional form field or verification step risks losing potential customers. Leading FSIs are implementing streamlined account creation with biometric verification, auto-fill capabilities, and gamified elements to engage users effectively.​ Communication: Speaking Gen Z's language Financial jargon alienates this generation. They prefer straightforward explanations delivered through visual and interactive mediums.​ Financial education through content Short-form video content that simplifies complex financial concepts resonates with Gen Z. FSIs creating TikTok-style tutorials, interactive calculators, and gamified learning experiences about budgeting, investing, and financial planning position themselves as trusted advisors.​ Hyper-personalized insights Generic financial advice doesn't suffice. Gen Z expects insights tailored to their specific situations, goals, and values. AI-driven platforms providing hyper- personalized recommendations, spending analyses, and goal tracking foster stronger relationships with these young consumers., leading to loyalty and advocacy. Building trust with a skeptical generation Despite their digital immersion, Gen Z values human connection. The most successful FSIs will blend high-tech offerings with high-touch support when needed.​ Transparent fee structures Hidden fees and complex charge structures repel Gen Z consumers. FSIs must offer transparent, preferably low or no-fee models with clear explanations of any necessary charges.​ Human-backed digital experiences When issues arise, Gen Z desires immediate access to human assistance through their preferred communication channels—be it chat, text, or video call. Financial institutions that provide seamless transitions from AI-driven support to human experts instill confidence in their services.​ Gen Z in the workforce: Shape the future from within Beyond being financial consumers, Gen Z is also entering the workforce in significant numbers, bringing their digital-first mindset and values-driven approach into the financial sector itself. As young professionals, they expect modern workplace tools, AI-driven efficiency, and seamless collaboration across digital platforms. FSIs that embrace these expectations—whether through AI-powered knowledge management, flexible work models, or purpose-driven company cultures—will not only attract top Gen Z talent but also benefit from their fresh perspectives on innovation, inclusion, and customer engagement. By integrating their needs as employees, FSIs can better position themselves to serve Gen Z as customers, creating a future-proof financial ecosystem. The path forward To capture the Gen Z market, FSIs must undergo fundamental transformations—not just in digital interfaces but in their entire approach to banking. This entails developing products that align with Gen Z values, creating experiences that match their digital expectations, and communicating in ways that build authentic connections. Institutions that succeed will view Gen Z not merely as a market segment but as collaborators in designing the future of the financial services industry. By embracing digital innovation, ethical transparency, and instant gratification, FSIs can forge lasting relationships with a generation poised to reshape the financial landscape for decades to come. How OpenText empowers FSIs to win with Gen Z To successfully engage Gen Z, FSIs need more than just digital transformation—they need a connected, intelligent, and secure ecosystem. The OpenText suite of cloud solutions empowers financial institutions to meet Gen Z’s expectations with agility and innovation: OpenText Content Cloud ensures seamless access to critical documents, enabling real-time knowledge management and frictionless digital experiences. OpenText Experience Cloud helps FSIs deliver hyper-personalized, omnichannel interactions that resonate with Gen Z’s demand for intuitive and engaging financial experiences. OpenText DevOps Cloud enables FSI application delivery teams to ship better software—faster—with AI-driven automation, testing, and quality to meet Gen Z's high expectations of their mobile apps. OpenText Analytics Cloud leverages AI-driven insights to provide tailored financial recommendations, predictive analytics, and automated reporting—enhancing both customer engagement and operational efficiency. OpenText Business Network Cloud streamlines and secures transactions, enabling embedded finance and invisible banking infrastructure that align with Gen Z’s digital lifestyle. OpenText Cybersecurity Cloud safeguards sensitive financial data and transactions, ensuring trust, compliance, and resilience against evolving cyber threats. By harnessing the power of OpenText Cloud solutions, FSIs can modernize their operations, create value-driven financial experiences, and build lasting relationships with a generation that is redefining the future of finance. The post Gen Z & the future of finance: Fast, digital, and personalized appeared first on OpenText Blogs.