💡 **Takeaways from the IT Symposium/Xpo Keynote – Reflections from the Manufacturing AI World** 💡 After diving into the recent IT Symposium/Xpo Keynote, I can’t help but feel motivated by the insights shared on making AI work meaningfully across industries. For those of us in the manufacturing AI space, so much of what was highlighted felt spot-on. 🎯 Here are a few standout themes that really resonated: 🔊 **1. Finding the “Productivity Sweet Spot” with AI**: One of the big messages was the need to identify areas where AI can drive the biggest productivity gains—what the Keynote called “deep productivity zones.” In manufacturing, this concept is gold. When AI is focused on the most impactful areas, it’s like adding an extra layer of efficiency and insight that everyone on the floor can benefit from. 🔊 **2. Data Security Done Right**: With the vast amounts of sensitive data in manufacturing, secure and well-governed AI isn’t optional; it’s critical. The emphasis on robust data governance in the Keynote really struck a chord. In manufacturing, where compliance and data integrity are paramount, having AI that respects these boundaries makes all the difference. 🔊 **3. Managing AI Costs as You Scale**: Let’s be real, AI can be resource-intensive, so the Keynote’s focus on cost control hit home. Scaling AI thoughtfully, especially in a high-stakes environment like manufacturing, is essential to ensure that AI’s benefits don’t come with runaway expenses. It’s all about using AI where it has a measurable, positive impact—so every euro spent is justified. These themes reflect a shared vision across industries: that AI should be practical, secure, and sustainable. For anyone in the manufacturing world, it’s inspiring to see these principles reinforced. It’s a reminder that AI’s potential is limitless—when it’s done right ❗ 🌐 Here’s to smarter, more sustainable AI in manufacturing! #AI #ManufacturingInnovation #SmartManufacturing #SmartFactory
New GenAI foundation models are released every two and a half days, yet nearly half of CIOs report that AI hasn't met ROI expectations. Navigate this dichotomy by determining your organization’s AI pace — and taking the right next steps: https://gtnr.it/3YRiibo #GartnerIT #GenAI #CIO #Technology