Wilson Sun

What Boards Often Misread as AI Progress I’ve seen boards feel good about AI progress when what they really had was activity. Across manufacturing and CPG environments I’ve worked in, the warning signs were consistent. Plenty of pilots. Plenty of demos. Very little clarity. Progress stalled when: • Ownership was implied • Value was discussed but not measured • Risk was assumed to belong to someone else AI progress is not motion. It is decisions getting better over time. When boards focus on outcomes, ownership, and durability, momentum follows. When they don’t, activity fills the gap. #AIGovernance #BoardLeadership #ExecutiveOversight #DigitalStrategy

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If I were a CEO hiring a VP of AI in an industrial enterprise, I would not start with models. I would start with decisions. Which decisions materially affect pricing, allocation, safety, capital deployment, or regulatory exposure? Who owns those decisions today? What authority shifts once AI begins influencing them? What escalation path exists when volatility or uncertainty rises? AI leadership is not a tooling mandate. It is an authority mandate. Most organizations hire for capability and hope authority settles itself later. It doesn’t. Without explicit decision rights, AI scales ambiguity faster than it scales intelligence. The real test of a VP of AI is not innovation. The question is whether decision clarity improves as influence expands. If authority is clearer six months in, you hired correctly. If debate increases, you didn’t. #EnterpriseLeadership #IndustrialAI #BoardGovernance #DecisionAuthority

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Standardization is often seen as the enemy of innovation - until you need to scale. In 2026, the biggest bottleneck for a global CEO isn't a lack of ideas. It’s the inability to replicate a "win" from one plant across 10, 20, or 50 others. Most companies still operate as a collection of "islands of excellence." One plant achieves record OEE because of a brilliant manager; another solves a chronic quality issue through local trial and error. But those insights stay locked within those four walls. This is the "Localized Heroism" trap. And it’s exactly what we designed IRIS 77 to break. We don't view IRIS just as a system for one factory. We view it as the Digital Nervous System for your entire global footprint. With IRIS, we enable a shift from managing by "firefighting" to managing by "Standardized Intelligence": 1. Global Baseline: Real-time KPI synchronization. You don’t ask "how is Plant X doing?" - you see it compared to the global gold standard in one dashboard. 2. The Kaizen Loop (Closed): When DATA_AI identifies a successful optimization in Charlotte, it doesn't just stay there. It becomes a recommendation for your plant in Tokyo or Poznań. 3. Forced Execution: Through the GEMBA Suite, we turn those global recommendations into local tasks with clear SLAs. No more "best practices" gathering dust in an Excel file. Your competitive advantage in this decade isn't just what you produce. It’s how fast you can turn a single improvement into a global standard. Stop managing separate plants. Start leading one synchronized, intelligent organism. ----------------------------- Let’s lead the change together! Follow me and DBR77 profile

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The AI adoption gap is the space between “we have Foundry” and “we’re actually using it.” Here’s what to look for in a Palantir Foundry partner if you want long-term success: ✅ Palantir alumni with deep Foundry expertise. Seasoned engineers who translate platform architecture and product expertise into systems that hold up in complex enterprise environments. ✅ Industry-native operators. Former client-side builders and users who operated Foundry daily and understand your day-to-day workflows. They can anticipate pain points early and shape solutions designed for adoption. ✅ People-centered solutions: Many consultancies are problem-focused, and it’s important to solve problems. But Foxtrot truly listens, understanding not only what’s broken, but why it matters. By aligning solutions with how people actually work, we design tools and systems that teams want to use—not ones they struggle to adopt. Through collaboration and clear communication, we deliver solutions that close the AI adoption gap and turn new capabilities into real, everyday impact. ✅ Long term mindset: Quick wins may solve today’s problem, but they may also create tomorrow’s technical debt. You need a partner who sees your success as ongoing, and who builds with your future in mind, from day one. ✅ Trusted by Palantir: Foxtrot is a Palantir Technologies partner, which means we meet their standards for quality, professionalism, and capability. If you’re looking for a partner to help you maximize your investment, let’s talk.

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We’re excited to kick off our migration to Ultimo EAM! This represents a significant step forward in strengthening our smart asset management foundation and shifting toward more intelligent, proactive maintenance. Through Ultimo EAM, we’re elevating our predictive maintenance capabilities and leveraging AI and machine learning to transform data into meaningful, actionable insights. As we look ahead, we plan to bring additional machine data and operational signals directly into Ultimo, continuing to expand and mature our data ecosystem. This evolving roadmap positions us for smart asset effectiveness, IoT enablement, and truly data-driven decision-making — all in support of achieving world-class reliability. Exciting times ahead as we continue the journey toward smarter, more connected asset management. 🚀 🚀

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What if your BI tool didn’t just answer questions, but helped build the analysis for you? 😲 This is the shift towards Agentic Analytics that we’re driving with Databricks AI/BI, Databricks One and Genie. Check out the latest wave of updates. These include:  - Databricks One workspace-level GA for business-friendly, governed analytics access  - Agentic dashboard authoring in Beta, generating full dashboards from a single prompt  - Genie research in Beta for deep, multi-step analytical reports with supporting evidence  - Level of Detail calculations for more expressive, consistent metrics  - Dashboard subscriptions to Microsoft Teams channels  - Workspace-level themes and a denser dashboard grid for executive-ready presentation  - Improved pivot tables with cross-filtering and better exports  - Expanded Genie APIs, including space management and natural language summaries  - Integration with Microsoft Copilot Studio  - Stronger Unity Catalog governance, lineage tracking, and certification for Genie spaces This isn’t a small feature drop. It’s an evolution of how modern analytics are built, shared, and trusted by all. Full roundup in the blog below. ⬇️ https://lnkd.in/gqpWQ6NC #AgenticAnalytics #BusinessIntelligence #Databricks #Genie

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Some companies are masters at setting priorities… just not the right ones. I’ve walked into plants where the production line is literally on fire (or at least metaphorically smoldering)… …and yet, the leadership team is in a conference room debating which AI pilot project to run next. Don’t get me wrong…AI can be game-changing. But it won’t fix a broken culture, obsolete processes, or systemic issues you’ve chosen to ignore. 𝐑𝐮𝐥𝐞 𝐨𝐟 𝐭𝐡𝐮𝐦𝐛: If you can’t keep the lights on, keep your people safe, and deliver consistent quality today, then you’re not ready for tomorrow’s advanced tech, no matter how many pilots you run. The companies that win with AI aren’t the ones chasing the coolest proofs-of-concept. They’re the ones who apply it where it actually moves the needle… …after they’ve nailed the basics. That’s when pilots stop being experiments and start becoming accelerators. That’s when AI stops being a headline and starts becoming a habit. And that’s when the conversation shifts from what’s possible to what’s next. 𝐑𝐞𝐚𝐝 𝐟𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞: https://lnkd.in/exD6rHqW ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

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