Hem Chari

ERP is being asked to do more than record transactions. It’s increasingly expected to support faster, better decisions across the business. This Forbes piece on preparing ERP for the AI era touches on an important shift. As organizations push ERP closer to real-time operations, the pressure moves from the technology itself to the operating model around it. What often gets underestimated is what happens after go-live. Data quality, ownership, and decision paths start to matter more than architecture diagrams. If those pieces aren’t clear, adding AI or advanced analytics only exposes the gaps faster. ERP can absolutely support speed and insight, but only when leaders treat it as decision infrastructure, not just a system upgrade. Execution discipline is what determines whether that promise holds once the system is live.

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One of the most powerful aspects of ArchiMate is its ability to connect strategy with capabilities. The strategy-to-capability view provides a clear picture of how stakeholder drivers and goals translate into the maturing of business capabilities that enable real outcomes. In this example I create for SDLC governance, you can see how drivers like reducing risk and increasing stakeholder satisfaction flow down into goals such as reducing technical debt and improving time to market. These then align to expected outcomes, which are delivered through specific courses of action. Finally, those actions map directly to the capabilities that the business needs to mature, such as enterprise risk management, technology risk management, and enterprise architecture. This linkage is the essence of business architecture while using strategy and capabilities as the backbone. It creates traceability from executive priorities all the way down to the capability enhancements required to deliver them. It also provides a structured way to show where investment in governance, architecture, or tooling pays off in tangible business terms. Curious to hear from other architects. Are you using this type of view in the architecture vision or business architecture phase of the TOGAF ADM? If so, how has it helped align stakeholders and drive capability maturity discussions in your organizations?

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Oracle's strategic emphasis on cloud and private data management has positioned it as a key player in the realm of AI services, particularly in AI inference and business AI applications. Key points from the article include: 1️⃣ Oracle secured four multibillion-dollar contracts in the latest quarter, with expectations of more significant deals in the pipeline. Notable clients encompass leading AI entities like OpenAI, xAI, Meta, Nvidia, and AMD. 2️⃣ The company's focal point lies in "AI inference," leveraging trained AI models to deliver insights and content for various business domains such as robotic factories, automotive sector, agriculture (greenhouses), and pharmaceuticals (drug design simulations). 3️⃣ Oracle's innovative AI database facilitates seamless data querying for businesses, thereby driving up the utilization and revenue streams for its AI inference solutions. 4️⃣ Furthermore, Oracle is actively investing in AI agents—autonomous entities that execute tasks on behalf of humans—and strategizes to develop novel applications rooted in interconnected workflows orchestrated by these AI agents. 🤔 Has Oracle’s approach to AI inference and cloud impressed you? Comment your take!

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IFS has announced the appointment of Kriti Sharma as CEO of Nexus Black, its AI innovation accelerator. This strategic move underscores IFS’s commitment to advancing agentic AI tailored for asset- and service-intensive industries. “GenAI was just the starting line. The real opportunity lies beyond generic tools. The revolution happens with contextual, agentic AI that solves deeply complex, industry-specific problems,” said Kriti Sharma, CEO, Black Nexus Learn more: https://lnkd.in/gEuFvBYq #AgenticAI #AIInnovation #AIPoweredIndustries #ContextualAI #AILeadership #EnterprieITWorldMEA SK Mohapatra | Sanjib Mohapatra

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🔑 Extending ERP the Right Way: SAP Extensibility Guidelines Every organization wants to tailor SAP to its unique needs. The real question is: how do we extend ERP without compromising stability or upgradeability? That’s where SAP’s Extensibility Guidelines come in. They offer a clear framework for extending ERP while staying true to clean core principles: 🔹 In-system extensions – Use released APIs, business add-ins, and key-user tools for safe, lightweight enhancements. 🔹 Side-by-side extensions – Build new apps, workflows, and processes on SAP BTP, keeping the ERP core stable while innovating at the edge. 🔹 Rule of thumb – If it threatens core stability, move it to BTP. If it’s light and upgrade-safe, it may belong inside. The payoff? ✅ Faster innovation cycles ✅ Easier upgrades and less technical debt ✅ An ERP landscape that’s both stable and future-ready Extensibility isn’t about saying no to customization, it’s about doing it the right way, so innovation doesn’t come at the expense of agility. And this isn’t just an S/4HANA topic. It’s equally relevant for ECC customers—in fact, keeping ECC clean makes the move to S/4HANA far smoother and less costly. #SAP #CleanCore #Extensibility #SAPBTP #ERP #DigitalTransformation #EnterpriseIT #Innovation

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Partnering CIO-CFO is crucial to ensure technology is well managed from value-driven stand point, optimizing IT spend is tablestake and strategic, put the money where the business value is.

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Oracle Life Sciences and Baylor College of Medicine are teaming up to advance research and clinical insights into alcohol-related liver disease. Learn how this unique collaboration can deepen our understanding of one of the fastest-growing causes of liver-related illness and mortality in the U.S. https://lnkd.in/eN4N-aF2

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Most ERP failures aren't technology failures. They're leadership failures wearing a technology mask. And no, bolting AI onto a broken process won't fix it. It'll just accelerate the chaos. Here's what actually goes wrong ↓ #ERP #CIO #DigitalTransformation #EnterpriseIT #Leadership

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