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Speaker at WEST: Daniel Lyon, Product Manager, Hawk Ridge Systems

WEST Session: Most manufacturers begin their AI journey with high expectations, yet research shows that 95 percent of GenAI projects fail to create real business value. A common trap is the shiny object syndrome, where leaders and empowered employees chase trendy tools that look impressive but do little to address core operational challenges. This is why only 5 percent of enterprise-built AI tools ever make it into production. The companies that succeed take a different path. They delve into the business itself, uncovering where AI can make the most significant difference. Predictive maintenance that prevents costly downtime, quality control that reduces waste, and supply chain optimization that improves resilience are just a few areas where measurable impact becomes possible. What often separates success from failure is expertise. Internal teams, no matter how skilled, can be limited by organizational bias, resource gaps, and familiar ways of thinking. That is why internal builds succeed only a third of the time. Third-party AI experts, on the other hand, bring fresh perspectives that identify blind spots, challenge assumptions, and apply proven frameworks that raise the success rate to nearly 70 percent. With the proper guidance, AI stops being an expensive experiment and becomes a powerful, revenue-generating asset. For manufacturers, this shift marks the difference between falling behind and building a sustainable competitive edge.

Speaker at WEST: Jamie Goettler, Chief Revenue Officer, BTX Precision

Speaker at WEST: Luis Solano, Customer Engineering- Manufacturing Lead, Google Cloud

Speaker at WEST: Kenneth Cowan, Vice President, Paperless Parts

Speaker at WEST: Padma Raghunathan, Product Marketing Manager, Deltek

Speaker at WEST: Robert Belsjoe, SVP Sales, AMERS, SugarCRM

Speaker at WEST: Tyler Boykin, Vice President, Orases

Speaker at WEST: Adelle Murphy, Account Executive, Limble

WEST Session: Artificial Intelligence is revolutionizing nearly every industry—but many manufacturing operations are still missing out. Over the past five years, a growing divide has emerged. Some manufacturers are embracing Industry 4.0 and reaping the rewards. Others remain stuck—struggling with disconnected machines, underutilized data, and manual workflows that slow down operations. From isolated systems to paper-based logs, the American manufacturing sector often lacks the connectivity required to stay competitive in a global market. So what needs to change? The first step is breaking down data silos. To enable true Industry 4.0 capabilities, manufacturers must connect the factory floor with IT systems like ERP, MES, and WES. This connectivity lays the groundwork for advanced capabilities like predictive maintenance—where machine learning models monitor operations, learn normal patterns, and predict failures before they happen. It's also about integrating design and execution. Bridging CAD and CAM systems directly to production equipment eliminates manual recipe entry and reduces errors. By creating a unified namespace, manufacturers can abstract away proprietary device protocols and enable seamless communication between all components in the process. And this is where AI truly shines. With a connected infrastructure and unified data model, manufacturers can build digital twins—virtual representations of their production environments. These models power real-time optimization, simulation, and automation in ways that were once unimaginable. This talk presents real examples, practical steps, and the mindset shift required to modernize operations—so manufacturers don’t just keep up with Industry 4.0, but lead it.