The collaboration brings Red Hat Enterprise Linux and Red Hat OpenShift support to a wider array of deployment options on Oracle Cloud Infrastructure (OCI), encompassing government, sovereign, and distributed cloud services. This expansion is particularly pertinent as organizations increasingly seek flexible and secure cloud solutions to meet diverse operational requirements.

Red Hat OpenShift is now certified to run on OCI Roving Edge Infrastructure, Oracle Compute Cloud@Customer, and Oracle Private Cloud Appliance. This certification enables customers to deploy workloads on Red Hat OpenShift across various OCI environments with confidence, knowing they are tested, certified, and supported by both Oracle and Red Hat.

Recognizing the growing importance of AI in enterprise operations, the collaboration extends support for Red Hat OpenShift AI on OCI. This includes validation on OCI’s NVIDIA A100 and H100 GPU shapes, facilitating high-performance model training and inference for demanding AI and machine learning workloads.

Oracle is actively validating key applications and software, such as Oracle WebLogic Server, to run seamlessly on Red Hat OpenShift containers. This initiative delivers a jointly supported, premium customer experience, empowering users to leverage the full potential of Oracle software on the flexibility and scalability of Red Hat OpenShift, whether on-premises or in the cloud.

Furthermore, the Oracle Cloud Scale Monetization portfolio has been validated on Red Hat OpenShift, offering communications service providers enhanced infrastructure flexibility for comprehensive, unified business support systems.

The collaboration maintains the certification of Oracle Database, including Oracle Real Application Clusters (RAC), on Red Hat Enterprise Linux. Additionally, Red Hat has initiated a validation effort for Red Hat OpenShift Virtualization to better support Oracle Database customers on this evolving platform.

What this means for ERP Insiders

Strategic hybrid cloud adoption. For tech leaders, this collaboration underscores the importance of adopting a strategic hybrid cloud approach. By leveraging the combined strengths of Red Hat and Oracle, organizations can achieve greater flexibility and scalability in their IT operations. The certification of Red Hat OpenShift on various OCI environments ensures that enterprises can deploy applications across different infrastructures with consistent performance and support.

Accelerated AI integration. The enhanced support for AI workloads, including validation on NVIDIA GPU shapes, provides enterprises with the necessary tools to accelerate AI integration into their operations. This development is crucial for organizations aiming to harness AI for improved decision-making and operational efficiency. By utilizing Red Hat OpenShift AI on OCI, businesses can streamline the development and deployment of AI models, leading to faster time-to-value.

Optimized enterprise applications. The validation of Oracle applications on Red Hat OpenShift offers tech leaders the opportunity to optimize their enterprise applications for cloud-native environments. This move facilitates the modernization of legacy systems, enabling smoother transitions to the cloud and improved application performance. By adopting this integrated approach, organizations can enhance their agility and responsiveness to market changes.

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“AI is unquestionably the largest development innovation that we see,” Miranda said. “It impacts everything—from how we market and service our customers to how we build our products and run internal operations.” 

Miranda’s keynote underscored Oracle’s strategy of embedding AI capabilities across its entire cloud technology stack. He noted that Oracle Cloud Infrastructure (OCI) is now the preferred platform for training and deploying many of the world’s most advanced AI models. “Every major foundation model has chosen OCI because it is the fastest, most secure, most scalable, and top-performing capability on the market,” he said. 

He cited real-world examples of AI adoption among Oracle customers, including BNP Paribas, Foot Locker, and AT&T, who are deploying AI across functions such as customer service, network monitoring, product protection, and revenue optimization. “Organizations that adopt new technology thrive. Those that resist or hesitate under the guise of risk struggle through transformation,” Miranda added. 

A Future-proof Foundation 

A key message of the keynote was that businesses must unify their data and apply AI strategically to stay competitive. Oracle’s “complete stack” approach—spanning infrastructure, data platforms, AI services, and applications—enables this transformation with flexibility and scale. “Whether your workload starts with cloud infrastructure or AI services, Oracle offers the flexibility and choice to integrate with your existing environment,” said Miranda. 

Oracle is not only investing in core technologies, but also enhancing its industry-specific applications with embedded AI, helping customers achieve automation, insight, and operational efficiency. 

TD Bank Shares its Transformation Journey 

Joining Miranda on stage was Rod Johnson, Oracle’s Executive Vice President, North America Applications, who spoke with Morgan McKenney, a senior executive from TD Bank about the bank’s multi-year transformation journey with Oracle Cloud. “My team supports finance, risk, and treasury functions of the bank. We’ve made huge investments in data foundations and cloud transformation to enable regulatory reporting and real-time insights,” McKenney said. 

She highlighted the bank’s move to Oracle’s next-generation cloud infrastructure as a turning point. “We started on Gen 1 cloud, but Gen 2 has been amazing—secure, stable operations that enable efficiency and innovation,” she said. TD Bank is now focused on unlocking new business value and preparing for a future shaped by AI. 

McKenney expressed excitement about Oracle’s embedded AI capabilities, calling them “out of the box and ready to deploy” for finance and compliance teams. “Every dollar of value I give back to our business helps them deliver better customer experiences. That’s really what we’re in business for,” she added. 

Oracle’s Transformation Into a Services Partner 

Closing his keynote, Miranda positioned Oracle not just as a technology provider, but as a transformation partner. “We are evolving into a services company. Our goal is to guide customers through this monumental technology shift with best-in-class tools, infrastructure, and expert advice,” he said. 

The message was clear: AI is no longer a futuristic concept—it’s a present-day business imperative, and Oracle is prepared to lead the way. 

What This Means for ERP Insiders 

AI is now a business imperative—not a future consideration. Oracle’s keynote message that AI is the most transformative innovation of our time aligns with broader industry momentum. Forecasts predict that global spending on AI-centric systems will reach $300 billion by 2026, reflecting a compound annual growth rate of 27%. Oracle’s examples from BNP Paribas, Foot Locker, and AT&T show that AI is no longer confined to experimentation—it’s delivering measurable results across customer engagement, operations, and product development. For business technology leaders, the smartest way to begin is by applying AI to use cases with clear and immediate ROI, such as customer service automation, financial forecasting, and network monitoring, before scaling efforts enterprise-wide. 

Cloud infrastructure choice determines AI readiness and scalability. Oracle Cloud Infrastructure (OCI) is rapidly becoming a top choice for enterprises deploying AI at scale, thanks to its high performance, security, and support for advanced workloads. As businesses shift toward more composable architectures, the ability to integrate with best-in-class AI models—whether from OpenAI today or new entrants tomorrow—becomes critical. When evaluating cloud providers, decision-makers should go beyond pricing and consider whether the platform supports evolving AI models, vector databases, and multimodal workloads. OCI’s open, secure, and high-performance environment offers a future-proof foundation for AI-driven innovation. 

Data modernization is essential for regulatory and competitive resilience. TD Bank’s transformation highlights how modern data infrastructure is enabling real-time compliance and strategic agility—an increasingly vital capability in regulated industries. A 2025 Deloitte survey found that 72% of global CFOs plan to increase investment in data governance and compliance automation in the next two years. With regulatory bodies shifting toward continuous, near-real-time reporting, organizations must act quickly to modernize their cloud-based data architecture. Standardized reporting frameworks, integrated data sources, and secure access control are not just enablers of compliance—they are prerequisites for unlocking AI’s full potential across finance, risk, and operations. 

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This partnership isn’t just about technology integration—it’s a strategic roadmap for how enterprise software ecosystems will evolve in the AI-driven era. For enterprise technology leaders, it’s a signal to move boldly toward AI systems that can act autonomously to complete tasks across enterprise environments, like digital coworkers who contribute to the company alongside employees.  

At the heart of the announcement is the deployment of IBM’s AI agents within OCI’s AI Agent Studio and Fusion Applications, allowing for dynamic multi-agent workflows that span both Oracle and non-Oracle systems. These agents can be hosted on Red Hat OpenShift across public, sovereign, government, and Oracle Alloy regions, to allow customers to meet varying regulatory environments. Oracle also intends to make IBM’s Granite AI models available via OCI Data Science, enhancing customer choice with lighter, fit-for-purpose large language models. 

Oracle customers stand to benefit not only from expanded AI functionality but also from new consulting services from IBM aimed at helping clients shift from legacy virtual machines to modern, containerized environments using OpenShift on OCI. Moreover, IBM’s Envizi ESG Suite—focused on sustainability reporting and ESG data management—is planned to be made available on OCI, further cementing the alliance’s value to enterprises striving to meet digital transformation and environmental compliance goals simultaneously. 

What This Means for ERP Insiders 

Start with use case-driven AI orchestration across systems: Tech leaders should evaluate agentic AI not as a monolithic technology, but as a system of interconnected agents solving real operational bottlenecks—particularly in areas like HR, procurement, and supply chain. As the IBM and Oracle collaboration shows, value lies in stitching together disparate systems with intelligent agents that understand, act, and improve autonomously. IDC forecasts that by 2026, over 60% of large enterprises will deploy agentic systems for cross-functional workflows—meaning early movers gain a decisive edge in productivity and cost savings. 

Align infrastructure for multicloud, hybrid, and containerized future:  This partnership underscores the strategic shift toward hybrid cloud and container-based workloads. ERP leaders must assess whether their current infrastructure can support Red Hat OpenShift or similar orchestration layers that provide portability, scalability, and AI-readiness. Enterprises migrating from traditional VMs to OpenShift on OCI are already seeing a 30–40% improvement in deployment speed and resource utilization, per IBM Consulting benchmarks. 

Rethink ESG reporting as a competitive differentiator:  The inclusion of IBM’s Envizi ESG Suite signals that environmental data is no longer peripheral—it’s foundational. ERP, finance, and sustainability leaders should consider embedding ESG metrics and governance directly into their ERP architecture. With 75% of global companies expected to face stricter disclosure regulations by 2026 (per PwC), integrating real-time ESG reporting within core platforms like Oracle Fusion Cloud may soon become table stakes for both compliance and brand credibility. 

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Transforming Enterprise AI with Innovation and Business-Centric Solutions

IBM has long been a pioneer in AI, from Watson’s early innovations to today’s enterprise AI solutions. IBM’s AI strategy rests on two pillars: IBM Software, which provides security-focused and transparent enterprise AI, cloud, security, and automation solutions, and IBM Consulting, which drives large-scale business transformation, technology implementation, and managed services, leveraging IBM and ecosystem partner technologies. In fact, IBM is one of few major technology companies with a global consulting business at scale, which is a key differentiator when it comes to helping clients deploy AI. IBM’s AI book of business has grown to over $5 billion across software and consulting, with 80% of bookings coming from IBM Consulting.

Oracle’s AI strategy is built on over 40 years of enterprise technology and applications expertise, seamlessly integrating AI into both data platforms and business processes —Jody Clayton Group Vice President, Advanced Technology- SaaS Technology, Analytics, AI & Emerging Technology at Oracle

Oracle also has a long history with AI and innovative technologies, embedding AI directly into Oracle Fusion Cloud Applications Suite, offering a robust, scalable AI solution with tight control over data security and governance. With over 100 generative AI-driven capabilities already live and 50 ready-made AI agents across the suite, Oracle enables business users to change the way work gets done with AI through enhanced decision-making, workflow automation, and improved productivity. As Jody Clayton, group vice president, Advanced Technology – SaaS Technology, Analytics, AI & Emerging Technology at Oracle, emphasizes, “Oracle’s AI strategy is built on over 40 years of enterprise technology and applications expertise, seamlessly integrating AI into both data platforms and business processes. Our cloud infrastructure is engineered for performance and cost efficiency, making it the preferred choice for running AI workloads. By having a complete infrastructure, data, and application cloud platform, Oracle is able to drive AI services and embedded intelligence across the enterprise, helping improve the efficiency of all employees.”

Oracle’s AI strategy is anchored in three critical components. First is high-quality, context-rich data, which is essential for AI success, and Oracle’s data platforms provide a solid foundation for AI-driven automation. Second is a cost-efficient AI infrastructure, as Oracle’s cloud infrastructure is optimized for AI workloads, which can help reduce training and deployment costs while helping to enhance processing power. And third is deep connectivity across critical business processes, as Oracle integrates AI across key business functions, including finance, HR, supply chain, and customer experience. Rod Johnson, executive vice president, cloud applications, Oracle, says, “A prime example of Oracle’s AI-driven transformation is its own financial operations. With Oracle Fusion Cloud Enterprise Resource Planning (ERP) and Oracle Fusion Cloud Enterprise Performance Management (EPM), Oracle has achieved a record-fast financial close cycle, consistently reporting earnings in under ten days. In addition, Oracle has saved approximately 80,000 hours annually through AI-enhanced forecasting and budgeting. For businesses, these capabilities translate to tangible improvements, such as increased accuracy in demand planning, enhanced decision-making, and greater operational efficiency.”1

“The synergy between IBM and Oracle extends beyond automation into AI model integration. Oracle customers can leverage IBM’s watsonx AI models within Oracle Cloud applications, combining IBM’s granite models with Oracle’s AI stack and cohere models.” —Shobhit Varshney, VP & Sr. Partner, Americas AI Leader at IBM

Oracle’s AI solutions offer customers the opportunity for significant productivity gains and operational efficiencies. Whether optimizing finance, HR, or supply chain operations, AI in Oracle Fusion Applications is intentionally embedded into business processes to help deliver real-world impact, optimize workflows, and maximize revenue potential.

Co-owning Enterprise Transformations

Collaboration is at the heart of IBM Consulting’s strategy, with a strong focus on collaborating with industry leaders like Oracle to deliver AI-powered solutions that can help drive measurable business outcomes. With an open ecosystem approach, IBM Consulting meets clients where they are, leveraging AI models from IBM, Oracle, and other business partners to enhance business processes and bring together the strengths of both companies to help deliver optimized enterprise solutions.

With a legacy of AI leadership, IBM embeds generative AI capabilities into its implementation methodologies and platforms to help customers with Oracle deployments. A key enabler of this strategy is IBM Consulting Advantage, an AI-powered delivery platform that equips consultants with generative AI agents, assistants, and applications to augment their work supporting clients. IBM Consulting Advantage leverages IBM and business partner technologies and provides predefined frameworks, industry templates, business process flows, and intelligent workflows that streamline implementation and reduce manual effort through automation. Chacko Thomas, Americas Oracle Leader, IBM, highlights, “Oracle customers get out-of-the-box AI-powered SaaS, but as implementers, that is just our starting point. At IBM, we aim to enhance the entire implementation lifecycle by helping clients boost their productivity from design to testing. With IBM Consulting Advantage agents, assistants, and applications, our consultants are leveraging AI-powered tools to streamline processes and reduce manual effort, like generating test scripts. It is about delivering the best of Oracle Fusion Applications for clients while optimizing implementation with IBM’s productivity tools.”

IBM Consulting’s deep industry expertise helps organizations align AI adoption with their sector-specific challenges, helping clients navigate Oracle’s existing AI capabilities and identify where custom AI solutions are required. IBM’s acquisitions of Accelalpha and Applications Software Technology LLC have expanded its Oracle consulting expertise across industries such as supply chain and logistics, finance, and the public sector to support clients in their digital transformations with Oracle Fusion Applications. By enhancing Oracle Fusion Applications with industry-specific expertise, frameworks, and additional AI solutions, IBM Consulting enables Oracle customers to maximize efficiency and innovation while reducing time-to-value.

Additionally, with multi-cloud flexibility—including Red Hat OpenShift, certified on Oracle Cloud—IBM helps organizations deploy AI-driven automation across hybrid and multi-cloud environments, enabling scalability and adaptability. As Shobhit Varshney, VP & Sr. Partner, Americas AI Leader, IBM, emphasizes, “The synergy between IBM and Oracle extends beyond automation into AI model integration. Oracle customers can leverage IBM watsonx AI models within Oracle Fusion Applications, combining IBM Granite models with Oracle’s AI stack. IBM watsonx Orchestrate further enhances this ecosystem, enabling digital labor coordination across platforms so that organizations can tailor AI-powered automation to their unique business needs.”

Starting the Transformation Journey

For many organizations, the biggest challenge with AI-driven automation is knowing where to start. Oracle makes this easier with hundreds of built-in AI capabilities in Oracle Fusion Applications, many of which can be activated with minimal effort. IBM further simplifies the process by helping customers optimize these AI-driven capabilities, accelerating adoption and immediate value realization.

“Oracle customers get out-of-the-box AI-powered SaaS, but as implementers, that is just our starting point. At IBM, we enhance the entire implementation lifecycle—boosting productivity from design to testing.” —Chacko Thomas, IBM’s Americas Oracle Leader

Oracle has long been at the forefront of business process automation, with over 100 generative AI and machine learning capabilities embedded in its applications. Now, the company is advancing further with the release of new AI agents and its AI Agent Studio for Oracle Fusion Applications, which combines large language models (LLMs) with other technologies to accomplish complex tasks that previously could only be done by humans. This shift represents a major transformation in automation, moving beyond rigid, rule-based workflows to intelligent decision-making. By embedding AI-driven workflows within its enterprise applications, Oracle enables organizations to streamline operations while maintaining tight control over data governance and security. IBM provides consulting services and solutions to help clients implement and derive greater value from Oracle Fusion Applications, leveraging IBM Consulting Advantage to accelerate AI transformation.

Conclusion

As AI adoption accelerates, enterprises seek solutions that integrate intelligence while providing security, scalability, and efficiency. IBM and Oracle offer distinct yet complementary AI capabilities to help drive business transformation. IBM specializes in AI consulting and secure, enterprise-specific AI models designed for transparency and control. Meanwhile, Oracle embeds AI directly into all layers of the technology stack, helping enhance automation, decision-making, and operational performance.
Together, they create a robust AI-enabled enterprise ecosystem, combining Oracle’s built-in AI with IBM Consulting services to drive business transformation, technology implementation, and managed services . This synergy enables organizations to harness AI confidently, helping to drive efficiency, agility, and competitiveness in an increasingly intelligent business landscape.

References
1 https://www.oracle.com/playbook/financial-excellence/

The post Bridging AI Strategies: IBM and Oracle’s unified approach to Enterprise AI appeared first on ERP Today.

The Limitations of Traditional Identity Management 

Conventional IAM focuses on verifying that users are who they claim to be and granting access based on static roles or groups. While necessary, this approach often fails to address the dynamic nature of modern business environments. Over time, privilege creep sets in, and users accumulate access they no longer need—expanding the attack surface and exposing critical applications to insider threats and external breaches. 

Complex ERP environments like SAP and Oracle, financial systems like Workday, and cloud SaaS applications present deep-seated risks if access rights are not continually reviewed and restricted. A single misconfigured privilege can lead to data leaks, fraud, or regulatory violations. 

The Case for Least Privilege Enforcement 

Least privilege—granting users only the minimum access necessary to perform their responsibilities—is a foundational security principle. However, operationalizing it across complex, interconnected systems requires more than manual reviews and role-based controls. 

This is where solutions like those from Delinea and Fastpath, now a part of Delinea, play a critical role. Delinea specializes in privileged access management (PAM), offering tools to vault, manage, and monitor privileged accounts across enterprise environments. Its dynamic, just-in-time access provisioning and session monitoring capabilities help organizations ensure that privileged access is granted only when necessary—and immediately revoked when not. 

Meanwhile, Fastpath provides access control and audit solutions specifically designed for ERP and SaaS ecosystems. It enables enterprises to automate segregation of duties (SoD) analysis, manage user provisioning, and conduct continuous monitoring of access rights. Fastpath’s integrations with leading platforms like SAP, Microsoft Dynamics, Workday, and NetSuite help organizations enforce least privilege and compliance standards at scale. 

Together, tools like these enable enterprises to automate the enforcement of least privilege, reducing the manual burden on security teams while significantly lowering risk. 

A Blueprint for Going Beyond Identity 

Achieving effective least privilege enforcement across critical applications requires an integrated, multi-pronged strategy: 

• Continuous entitlement management: Solutions like Fastpath allow real-time entitlement reviews to identify and eliminate privilege creep as it occurs. 

• Context-aware access controls: Platforms like Delinea use dynamic risk signals—such as location, device posture, and behavior anomalies—to adjust permissions automatically. 

• Automation and remediation: Both Fastpath and Delinea offer automated workflows to de-provision excessive privileges, enforce SoD policies, and ensure audit-readiness without overloading IT teams. 

• Visibility and analytics: Centralized dashboards from both vendors provide actionable insights into who has access to what, where risks exist, and how to address them. 

As business ecosystems continue to evolve, so must security strategies. Moving beyond traditional identity management—and leveraging platforms like Delinea and Fastpath to rigorously enforce least privilege—is no longer optional. It is a foundational pillar of enterprise resilience. Organizations that embrace this proactive, risk-based approach will not only protect their critical assets but also drive stronger operational and regulatory outcomes. 

What This Means for ERP Insiders 

Compliance and audit pressures are increasing—least privilege helps enterprises stay ahead. With regulatory standards like SOX, GDPR, and HIPAA intensifying, enterprises need demonstrable control over access to financial and personal data. Implementing automated least privilege solutions with vendors like Fastpath ensures ongoing compliance while reducing the time and cost of annual audits. 

Insider threats and credential misuse are growing—privileged access management mitigates the risk. According to recent studies, insider-driven incidents now account for nearly 25% of data breaches. Enforcing just-in-time privileged access through platforms like Delinea’s helps enterprises dramatically reduce the window of opportunity for misuse, limiting the blast radius of compromised credentials. 

Complexity is rising with ERP, financial, and SaaS sprawl—centralized visibility is essential. As organizations adopt hybrid and multi-cloud strategies, managing access manually across disconnected systems is no longer sustainable. Investing in unified least privilege enforcement solutions gives decision-makers real-time insights, enabling faster, smarter risk mitigation while supporting business agility. 

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In a conversation with ERP Today, Singh shared insights into Adeptia’s market positioning, differentiation, and the company’s trajectory following its acquisition by PSG Equity.

At its core, Adeptia specializes in automating intercompany data connections, enabling organizations to quickly and securely exchange data with customers, partners, and suppliers—without relying heavily on IT resources.

“We help customers like Visa, Fidelity, Voya Financial, and the NIH set up automated data flows with thousands of external organizations,” Singh explained. “That data might be structured or unstructured, but it all needs to be validated, converted, and processed quickly—often in near real time.”

What sets Adeptia apart, Singh noted, is its no-code, drag-and-drop platform that empowers analysts and business users—not just developers—to manage data integrations. “This self-service model is a key reason why enterprise customers choose us, even when they already have traditional tools in place.”

While Adeptia is system-agnostic, it is frequently deployed alongside ERP giants like SAP, Oracle, and Microsoft Dynamics. Singh pointed to a major deployment with Sencora (formerly AmerisourceBergen), which uses Adeptia to integrate 17 e-commerce platforms and thousands of pharmacy partners with SAP HANA.

“ERP systems are the backbone, but they aren’t built to handle the external data integration use cases that are becoming more common,” Singh said. “Our customers want flexibility—and control—so we offer both cloud and on-premise deployment options, which is a big differentiator.”

Indeed, the ability to deploy on-premise remains vital for Fortune 500 companies with strict data security and compliance requirements. “For mission-critical operations, relying solely on a cloud-based integration layer isn’t always feasible,” he added.

Singh outlined three primary differentiators that set Adeptia apart in the competitive world of data integration:

• Business-First Design: Unlike traditional integration tools geared toward IT developers, Adeptia’s platform is designed for use by business analysts, reducing the dependency on IT and accelerating time to value.

• Deployment Flexibility: Customers can deploy the platform on-premise, in their private cloud, or via a SaaS model—allowing full control over mission-critical data pathways.

• AI-Driven Automation: Over the last four years, Adeptia has infused its platform with AI that automates complex data mapping, validation, and transformation tasks. “What used to take weeks or months—like mapping EDI 850 messages to SAP—now takes minutes,” Singh said.

These capabilities enable organizations to go from eight-week onboarding timelines for data partners to under a week—a transformation with clear business impact.

While Adeptia’s value proposition begins with integration, its impact reaches into customer experience, time-to-market, and operational efficiency. Singh cited examples where clients’ Net Promoter Scores improved after switching to Adeptia, thanks to faster data exchanges and better real-time visibility.

“The business teams are often the drivers,” Singh said. “They want to modernize customer experience. But IT is tasked with the execution. That’s where we come in—offering a collaborative platform that satisfies both.”

With an average deal size of $200,000 and a growing portfolio of global clients, Adeptia has positioned itself as a high-value enterprise solution, rather than a commoditized tool. This strategy has only accelerated since its acquisition by PSG Equity, a private equity firm with a portfolio of more than 140 technology companies.

As organizations re-evaluate aging ERP platforms and legacy EDI systems, Singh sees a massive opportunity. “Companies are coming to us to modernize both their ERPs and how data enters those systems,” he said. “They’re shifting from static batch processes to real-time API-driven interactions—and we’re helping make that leap.”

Adeptia’s roadmap includes expanding support for emerging ERP platforms like Microsoft Dynamics 365 Business Central, enhancing AI-powered mapping, and strengthening hybrid deployment capabilities.

“We’re just getting started,” Singh said. “With PSG behind us and a strong leadership team in place, the next 12 to 18 months will be about scaling everything—from go-to-market to innovation.”

Singh has worn many hats over his 25-year tenure at Adeptia—from product development to executive leadership. His continued focus: building tools that bridge the divide between business goals and technical complexity.

“We’re not just another integration vendor,” he concluded. “We’re helping enterprises become more connected, more responsive, and ultimately, more competitive.”

What this means for ERP insiders

Adeptia fits companies on ERP modernization journey. When ERP customers evaluate Adeptia as a data integration and ecosystem connectivity platform, several strengths become evident. Adeptia is designed for business analysts and non-developers to build and manage data integrations via a drag-and-drop interface, which reduces reliance on IT, speeds up onboarding, and empowers business teams to respond quickly to integration needs. Also, the company offers both cloud and on-premise deployment options, which is ideal for enterprises with strict data security, compliance, or latency requirements (e.g., healthcare, finance, government). Adeptia has deep experience integrating with ERP platforms like SAP, Oracle, NetSuite, and Microsoft Business Central, which enables streamlined order-to-cash, inventory, EDI, and API integration processes with internal and external stakeholders. From a time-to-value perspective, Adeptia claims to cut partner/customer data onboarding times from 8 weeks to less than 1 week, and industry benchmarks consistently show that faster customer/partner integration leads to improved NPS, revenue realization, and operational agility. The role of AI can’t be overstated here either. With Adeptia, AI suggests data mapping and transformation rules, especially for complex formats like EDI and healthcare claims, and this reduces integration errors and project timelines, which is especially useful for non-technical teams.

Don’t confuse Adeptia for a low-end iPaaS. With average deal sizes in the $100K–$200K+ range, Adeptia is more expensive than some low-end iPaaS or open-source options, so it may not be suitable for startups or small businesses with minimal integration needs. Adeptia focuses on intercompany data exchange rather than general-purpose integration or full application orchestration, so enterprises needing broader app-to-app integration (e.g., CRM + marketing + analytics) may need complementary tools. While simpler than developer tools, Adeptia still requires upfront setup and process planning—especially for larger ERP environments, so enterprises should plan to invest time in architecture, training, and governance. Also, Adeptia is not designed for consumer-facing, event-driven integration (e.g., mobile notifications, front-end UX triggers). Rather, per Singh’s comments, it is best suited for B2B, EDI, and back-office system integration, not real-time customer experience orchestration.

Why Adeptia vs. Boomi, or Mulesoft, or Informatica? Adeptia is designed for non-technical users (e.g., analysts, operations managers) to create and manage integrations via a no-code, drag-and-drop interface. MuleSoft, Informatica, and Boomi are developer-centric. They offer powerful tools, but require more IT involvement and coding for setup and maintenance. Also Adeptia offers both on-prem and cloud deployment options, ideal for regulated industries or companies with hybrid ERP environments. MuleSoft and Boomi are primarily cloud-first platforms. While some hybrid capabilities exist, on-premise control is more limited. Informatica offers hybrid options, but often with more complexity and higher licensing costs. And Adeptia is purpose-built for ecosystem connectivity—setting up data flows between ERP and thousands of customers, suppliers, or partners. MuleSoft and Boomi are strong for application-to-application (A2A) integrations, APIs, and internal workflows—but may require add-ons or custom code for high-volume B2B onboarding. Informatica has strong data management tools, but its EDI and B2B capabilities are more complex and expensive to scale.

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The days of being tied to outdated legacy systems are over and the landscape of ERP for SMEs in 2025 is dynamic, with a strong emphasis on cloud-first, AI-ready, and scalable solutions. If you’re wondering which ERP can help your organization scale while keeping operations smooth, read on.

What SMEs Need from an ERP in 2025

For SMEs eyeing growth and efficiency in 2025, their ERP system needs to be a true partner. Here’s what NTT DATA Business Solutions recommends as must-haves on your checklist:

• Quick to Go Live: In the fast-paced world of SMEs, you can’t afford to wait forever to see value. Look for solutions designed for rapid implementation, often featuring pre-configured options that get you up and running and realizing benefits sooner rather than later.
• Grows With You: Your ERP needs the flexibility to handle increasing transaction volumes, more users, and new business units as the organization expands, ensuring the system supports your growth every step of the way.
• Intelligent Insights on Demand: A modern ERP provides immediate access to critical data and incorporates embedded analytics and AI to help you understand current performance and anticipate future trends, empowering smarter, faster decisions.
• Clear Costs, No Surprises: The ideal ERP comes with straightforward, transparent pricing models that eliminate hidden fees and unexpected expenses, allowing you to manage your finances with confidence.
• Industry-Tailored Workflows: The best ERPs for SMEs often include built-in best practices specific to various industries, streamlining operations right out of the box and reducing the need for complex customization.

Top ERP Solutions for SMEs

Several leading ERP solutions are well-suited for the needs of growing businesses in 2025. While the specific “best” system depends on individual business requirements, examining popular options like GROW with SAP, Microsoft Dynamics 365 Business Central, and Oracle NetSuite provides valuable insight.

• GROW with SAP: Designed with high-growth SMEs in mind, GROW with SAP offers a comprehensive cloud ERP that emphasizes speed and simplicity. It includes preconfigured best-practice processes and embedded AI, aiming for faster time-to-value. Its subscription model provides transparent pricing, and its foundation is built for scalability. NTT DATA Business Solutions offers tailored solutions and expertise to help businesses confidently adopt GROW with SAP, providing accelerators and services for a smooth transition and ongoing support.
• Microsoft Dynamics 365 Business Central: A versatile option, Dynamics 365 Business Central provides a flexible, modular ERP solution that integrates seamlessly with other Microsoft products like Microsoft 365 and Power BI. This makes it a strong contender for businesses already invested in the Microsoft ecosystem. It offers broad functionality covering finance, operations, sales, and more, with flexible deployment options.
• Oracle NetSuite: A mature, cloud-native ERP, Oracle NetSuite is known for its strong financial management capabilities and scalability. It’s a unified platform covering various business functions and is well-suited for companies needing robust international functionality. Its comprehensive feature set and ability to handle complex financial processes make it a solid choice for finance-centric or rapidly scaling SMEs.

Finally, selecting and implementing an ERP system is a significant undertaking. With the right system and a knowledgeable partner, SMEs can confidently embrace the opportunities of 2025 and beyond, turning growth ambitions into concrete achievements.

What This Means for ERP Insiders

Mid-sized market trends point to cloud, speed, and intelligence. The shift to cloud ERP in the mid-sized market is undeniable, with reports showing significant adoption rates with over 80% of SMBs with less than $50 million in revenue using ERPs. Cloud adoption continues to rise, reaching around 78% of organizations in 2024. This move is driven by the need for agility and real-time data. Furthermore, AI is no longer just for large enterprises; a significant majority of small businesses have a positive outlook on AI and report increased productivity from its use.

Implementation matters. Choose expertise. Bringing a new ERP system online can feel daunting. Look for partners with proven methodologies that reduce risk and provide cost and time certainty. NTT DATA Business Solutions, for instance, emphasizes a fixed-time, fixed-cost approach for cloud ERP adoption and leverages methodologies like SAP Activate+ to ensure a smooth, predictable implementation process tailored to your industry.

Real-world success stories offer confidence. The best indicator of a partner’s capability is their track record. NTT DATA Business Solutions has helped diverse companies through various implementations that include complex SAP ECC separation, SAP migration post-acquisition, and SAP S/4HANA Cloud for performance. Through these the companies have achieved significant operational improvements and successful transformations.

The post Finding the Right ERP Systems for Small Businesses in 2025 appeared first on ERP Today.

The Challenges Around Data and AI

According to Nish Patel, Partner, Hybrid Cloud & Data at IBM Consulting, a significant hurdle lies in a few key business concerns: accountability, transparency, and explainability. These, he noted during an ERP Today webinar on this topic on April 30, all stem from a fundamental issue: trust.

“Trust is a major extension of data,” Patel emphasized. “Without trustworthy data, the outputs of even the most sophisticated Gen AI models become questionable.”

The challenges to achieving this data trust are significant and widespread. Nish pointed out that a staggering 45% of enterprises struggle to make their data useful for analysis or feeding into AI, primarily because it’s scattered across “multiple locations, multiple clouds, multiple data silos.” This fragmentation leads to poor data quality and inconsistency, contributing to a startling statistic: 80% of business executives don’t trust their data.

Add to this the challenges of expanding company-wide data literacy (a high or critical priority for only 26% of those surveyed by IBM), protecting organizational data (only 18% excel at this), and concerns about data lineage and provenance (a barrier for 61%), and the scale of the data readiness problem becomes clear.

A Seven-Step Framework

So, how do you tackle this multi-headed data monster? Sandhya Ranganathan Iyer, Associate Partner, AI and Analytics at IBM Consulting, shared a seven-step framework for laying the groundwork with robust data governance. “It all starts with building a strong foundation and establishing a data or AI governance office to ensure alignment across IT, legal, and business teams,” she said.

A crucial step Iyer highlighted is building a rich metadata catalog. This creates information about your data, providing the business context needed for Large Language Models (LLMs) to make sense of organizational-specific information and generate tailor-made responses.

She added, “The metadata catalog is key to helping the LLM understand and provide responses tailor-made to your organization.”

From there, the framework moves through overlaying data privacy rules, ensuring compliance with ever-changing regulations, implementing data quality measurements and custom rules, and making trustworthy data accessible across the organization through tools like marketplaces and semantic search. This accessibility also comes with the crucial elements of lineage and explainability, so users understand where the data came from and what transformations it has undergone – further building trust. The final step involves continuous monitoring to ensure data remains up-to-date and reliable, even incorporating data drift detection.

Technology Matters

But even with a solid framework, the technology you use matters. Patel highlighted Oracle Database 23ai as a technology that can accelerate data readiness. “Features like automatically building and refreshing vector data, and semantic search capabilities allow users to simply ask a question like you would in a chat to fetch information from a document or to generate SQL queries,” he said. This, combined with no-code development options, can significantly accelerate the AI application production path.

Ultimately, the journey to Gen AI success isn’t just about algorithms or models. According to Patel and Iyer, it’s deeply human and about building trust in the very foundation of AI—the data. “This requires collaboration across teams, a commitment to quality and governance, and a willingness to adopt technologies that can help tame the data monster,” Patel concluded.

What This Means for ERP Insiders

Gen AI is a business imperative, but data readiness lags. Market trends indicate that while AI adoption is accelerating, with a significant percentage of organizations exploring or implementing AI, a considerable portion still feel unprepared for the advancements expected. The Generative AI market itself is projected to grow explosively. However, key challenges, such as data quality, governance, and the lack of relevant skills, are frequently cited barriers. This highlights a critical dichotomy: the clear business value and rapid adoption curve of Gen AI are undeniable, but the foundational work of ensuring data is trustworthy, accessible, and well-governed remains a significant, often underestimated undertaking.

Gen AI has great potential when applied to trusted, well-governed business data. Imagine leveraging Gen AI for more intelligent forecasting based on historical sales data combined with market reports or improving customer service by allowing natural language queries against product information and support logs. The emphasis on handling structured and unstructured data within platforms like Oracle Database 23ai is particularly relevant for ERP users who deal with everything from transaction records to contracts and communications. Getting data ready through governance and quality steps directly enables these practical applications, moving beyond reporting to truly leveraging data for better decision-making and operational efficiency.

The power of partnership and integrated technology matters. The collaboration between IBM Consulting and Oracle, highlighted by the capabilities of Oracle Database 23ai, signals a significant push towards making the foundational data layer more amenable to Gen AI, even within complex enterprise environments. ERP users often deal with vast amounts of structured and unstructured data, so the idea of a database automatically handling tasks like building and refreshing vector data is a game-changer. Features like AI vector search built into the database can dramatically accelerate how businesses leverage their data for AI. This multi-cloud availability of advanced database features also means organizations aren’t necessarily tied to a single cloud provider to leverage these capabilities alongside their existing ERP deployments.

The post Taming the Data Monster: Why Getting Your Data Ready is Key to Gen AI Success appeared first on ERP Today.

Krishan Sharma, NetSuite Practice Lead at CloudPaths, highlights the core pain points he consistently observes with new SuitePaths customers: “Financial reporting and compliance is one of the key challenges. Finance teams are also grappling with getting the right reports and revenue forecasts that are accurate and on time.”  

He also points to the difficulties posed by frequently changing accounting standards, complex taxation rules, the critical function of Forecasting, Planning, and Analysis (FP&A), and the omnipresent threat of cyber breaches. 

• Managing mergers, subsidiary consolidations, localization, tax reporting, and revenue recognition and compliance.  

• Cash Flow 

• A/R and A/P Management 

• Quickly ramping up the liquidity by implementing cost containment  

• Effective timing of planned capital investments 

• Analysis of operations efficiencies from costing and effectiveness 

• Financial Reporting and Compliance 

• Facts based Data presentation for Auditing has always been a challenge. Ensuring proper documentation, recording and reporting for audits. 

• Regulatory framework changes & new accounting standards. 

• Ensuring compliance to new accounting standards 

• Taxation and Market Uncertainties 

• Changing Technological landscape: 

•  Multiple systems (Best of breed of everything — ADP, Expensify, Salesforce, NetSuite etc.) 

• Custom homegrown solutions still in place 

• Ever increasing consolidated Reporting needs for every department, from multiple of these systems. 

• Innovative products, especially on the service side and how they bundle, leading to complex revenue management rules, etc. 

Advantage Design 

So, how does NetSuite address these deep-seated issues? Sharma points to NetSuite’s fundamental design advantage. He states, “Unlike many legacy systems retrofitted for the cloud, NetSuite has been built by developers as a cloud product, and that’s why it can accommodate many modern-day challenges into the product.”  

This cloud native architecture, coupled with a centralized database, provides a powerful foundation for integrated finance processes. It enables features like direct drill-down from reports to underlying transactions and built-in forecasting capabilities. Netsuite’s agility and twice-yearly releases ensure the platform stays current with new features and compliance requirements. 

While NetSuite offers a comprehensive suite, CloudPaths distinguishes its SuitePaths practice by implementing and optimizing for specific business needs and maximizing value quickly. Sharma describes CloudPaths’ philosophy: “Our model is designed to empower our clients. We go beyond simple configurations and also provide real consulting. In areas where customers are not doing well, we would advise and show them how they can change those processes for better outcomes.”  

This consultative approach, backed by the team’s collective hundreds of NetSuite implementations across various industries, allows CloudPaths to guide clients towards best practices, often leveraging NetSuite’s standard, out-of-the-box features rather than resorting to costly customizations. 

Consulting firms these days need to have certified staff with best practices knowledge of the industry in general and of NetSuite product implementation as well. 

Lower TOC by modeling our services shows that SuitePaths costs less than our competitors in the long run. 

 Tangible Benefits 

CloudPaths has also tackled specific, complex finance requirements within NetSuite. Sharma gives the example of developing a “Pay When Paid” bundle for a client in the media industry to handle intricate vendor payment scenarios tied directly to customer collections.  

“We also specialize in implementing NetSuite’s Advanced Revenue Management (ARM) module, navigating its complexities to ensure accurate revenue recognition based on fair value rules,” Sharma adds, “All while strategically avoiding customizations where possible to maintain upgradeability and ease of integration for future growth like mergers and acquisitions.” It is important to highlight that revenue management is a key component of business complexity. Service companies in specific are struggling at times due to innovative pricing and revenue recognition scenarios. Fair Value concept in conjunction with the discounted amounts adds a layer of additional complexity. 

CloudPaths assists its customers:  

• Achieve ROI: SuitePaths minimizes NetSuite implementation costs. 

• Timely Closure of Periods: -We have clients who close their accounting periods on the 1st day of each month. The exception-reporting design that we have with most of our clients is an early warning system and helps fix the issues every day. 

• Improved Efficiencies: Helping staff be efficient with processes such as invoicing, cash flow, bank reconciliation, financial reporting and audit specific data extraction etc. 

 Beyond initial implementation, CloudPaths assists companies transitioning from older systems like Oracle E-Business Suite or JD Edwards. Sharma emphasizes addressing the “resistance to change” during these projects with expert guidance, ample training, and demonstrating how the new system will make users’ lives easier—perhaps by cutting down period-close time or improving data accuracy. “We also advise on strategic data migration, seeing it as an opportunity to cleanse data and get users excited about the benefits,” Sharma says. 

A well-implemented NetSuite finance solution can yield many advantages for a user. Sharma gives some examples of these benefits, which include:  

• Consistent improvement in key performance indicators, such as reducing the days to close 

• Increased accuracy and timeliness of financial reporting 

• Enhanced forecasting and budgeting capabilities 

• Streamlined cash flow management through better AP/AR processes 

• More efficient bank reconciliation 

AI and the Future 

Looking ahead, CloudPaths is actively preparing for the impact of technologies like AI and Machine Learning in finance within NetSuite. According to Sharma, as NetSuite introduces features like predictive forecasting, CloudPaths is training its SuitePaths staff to leverage these tools effectively. “We see AI enhancing FP&A by providing deeper insights from historical and external data and improving transactional processing efficiency through anomaly detection, freeing up finance teams for more strategic work,” he concludes. 

What This Means for ERP Insiders 

Use expert guidance to improve processes. NetSuite provides a powerful, cloud-native ERP platform ideal for modern finance. Complementing this, CloudPaths offers real consulting, helping businesses align processes with NetSuite best practices and leveraging their deep industry and technical expertise from hundreds of implementations to drive efficiency and compliance.  Currently, CloudPaths has several discounts and payment incentives being offered for new SuitePaths practice customers that sign up before May 30, 2025.  

Navigate complexity with native solutions. CloudPaths’ specialization in implementing complex NetSuite modules like Advanced Revenue Management and strategically developing niche solutions prioritizes using native NetSuite features to ensure long-term system health and ease of upgrades. This approach ensures that businesses realize fast time to value and sustained success. 

Smoother transitions and improve user adoption with the right implementation partner. CloudPaths actively addresses transition challenges like user resistance and data migration through dedicated guidance, training, and making users active stakeholders in the process, ensuring a successful move to NetSuite.

The post How CloudPaths & NetSuite Help Finance Teams Master the Cloud appeared first on ERP Today.

Understanding the Impact of Redwood 

Redwood represents a transformative shift in Oracle’s user interface and user experience. With its intuitive design language, embedded AI guidance, and streamlined navigation, Redwood aims to enhance productivity and efficiency across the enterprise. However, this upgrade doesn’t come without challenges. Each quarterly release may introduce new workflows, functionality changes, and altered navigation paths that directly affect how users perform their daily tasks. 

Without a clear understanding of how these changes impact business processes and user behavior, organizations risk decreased productivity, frustration among employees, and even compliance missteps. That’s why continuous learning is essential—not just around the release date, but as an embedded part of an organization’s Oracle strategy. 

A Tiered Learning Approach for Business Readiness 

Fudgelearn, a specialist in Oracle Cloud training, offers tailored learning programs that align closely with the scale and nature of each quarterly release. Their approach to continuous learning is designed to address varying levels of impact across roles and departments. 

For low-impact changes, Fudgelearn provides self-paced e-learning modules and microlearning sessions that employees can access on demand. These are ideal for minor interface adjustments or enhancements that don’t significantly alter business processes but still require user awareness. 

When updates introduce moderate changes to business processes, Fudgelearn offers guided virtual sessions that walk users through specific workflows, ensuring they understand new logic, reporting options, or approval processes introduced with the release. These sessions are structured to deliver clear, contextual learning while minimizing time away from core responsibilities. 

For significant transformations—such as those expected with Redwood—Fudgelearn delivers high-touch instructor-led training and change management workshops. These include deep dives into affected business functions, role-based learning paths, and simulation-based practice to build confidence and capability. Importantly, these sessions are customizable, allowing organizations to focus training where the impact will be greatest. 

Embedding Continuous Learning into Release Management 

Continuous education isn’t just a one-off effort surrounding major releases. Fudgelearn encourages clients to embed learning into their quarterly release management cycles. Their Learning-as-a-Service (LaaS) model ensures that updated learning materials are always available in sync with Oracle’s release schedule. This proactive approach allows IT and business leaders to prepare users in advance of changes, reducing help desk tickets and accelerating time-to-productivity. 

Moreover, Fudgelearn’s ongoing partnership with clients means training content evolves alongside their Oracle environment, taking into account past configurations, customizations, and usage patterns. This ensures a higher ROI on Oracle investments and a smoother experience for end users. 

Preparing for 25C and Beyond 

The 25C release marks a pivotal opportunity to advance usability, efficiency, and innovation across Oracle Cloud Applications. But realizing these benefits requires more than technical readiness—it demands a strategy for continuous learning that adapts to change, empowers users, and mitigates operational risk. 

With expert-led, role-specific training and a scalable learning model, Fudgelearn equips organizations to not just survive quarterly Oracle updates, but to thrive through them. 

You can schedule a time to learn more about Fudgelearn’s services here: Schedule a call with Fudgelearn 

What This Means for ERP Insiders 

Align training strategy with impact level of Oracle updates. Research from McKinsey & Company shows that 70% of digital transformation initiatives fail due to lack of user adoption, often stemming from inadequate training. By segmenting your approach—using e-learning for low-impact changes and instructor-led training for major shifts like Redwood—you can significantly improve adoption rates and reduce friction during transitions. 

Embed continuous learning into your release management cycle. According to Deloitte, organizations that implement continuous learning strategies are 46% more likely to be first to market and 92% more likely to innovate effectively. Integrating Learning-as-a-Service (LaaS) with partners like Fudgelearn ensures your workforce stays agile and well-prepared with every Oracle quarterly release, turning system updates into strategic advantages. 

Use proactive training to reduce risk and improve adoption. IBM reports that every dollar invested in training results in $30 in productivity gains. Proactively training users before the release of Oracle 25C and beyond minimizes downtime, decreases support ticket volume, and ensures employees quickly adapt to new workflows—accelerating your ROI and reducing operational risk. 

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