Mid‑market manufacturers are under intense pressure to perform like global enterprises delivering higher efficiency, resilience, and customer responsiveness while operating with constrained budgets, complex legacy landscapes, and limited tolerance for disruption. While many have begun their AI journey through pilots and localized automation, translating these initiatives into sustained, enterprise‑wide impact remains a persistent challenge.

Most manufacturers today have deployed AI, but very few have scaled it. Intelligence remains locked inside siloed systems, disconnected workflows, and isolated use cases, limiting its ability to drive meaningful business outcomes. This roundtable examines how a connected, platform‑led approach can unify data, decisions, and execution across manufacturing functions enabling AI to operate holistically rather than in pockets.

Through a peer‑driven discussion, leaders will explore how orchestrating AI across existing systems enables a shift from rule‑based automation to outcome‑driven operations—unlocking measurable gains in throughput, accuracy, resilience, and operational agility, without the disruption of large‑scale system replacement.

Key Takeaways:

• Clarity about why many AI initiatives stall at the pilot stage—and how to move beyond it
• Practical insights into scaling AI across production, quality, supply chain, and service
• Approaches to modernize operations while leveraging existing legacy environments
• Understanding the shift from task automation to intelligent, orchestrated workflows
• Real‑world perspectives on achieving measurable gains in throughput, accuracy, and agility

Why Attend:

• Learn from peers, not presentations
• Focus on what truly scales in real manufacturing environments
• Cut through the AI hype to understand where it delivers real operational impact
• Gain actionable perspectives on building resilient, adaptive manufacturing operations