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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: Padma Raghunathan, Product Marketing Manager, Deltek

Speaker at WEST: James Van Buskirk, Vice President – Engineering and Development, Methods Machine Tools

Speaker at WEST: Paul Boris, Strategic Accounts, Manufacturing, UiPath

Speaker at WEST: James Meyette, Senior Application Engineer, Selway Machine Tool Co.

WEST Session: Moderated by: Graham Hargreaves, CAD/CAM Consulting Services “You just have to finesse it...” “...finagle it” “...jockey it around a little.” These are highly technical terms to describe how engineers, programmers, and machinists make the software and machines at hand do something a little avant-garde to make a workpiece as spec’ed. For machine shop owners, pressure is growing to deliver increasingly complex, never-before-seen parts—and so are the challenges. From tight timelines to tighter tolerances, the path from design to finished part is rarely straightforward. But there is a path, and it involves creating a collaborative environment where engineers, programmers and machinists engage in open communication to problem solve on the fly. This panel will address the key challenges manufacturers face today, including: · Handling first-time parts with no proven toolpaths or machining history · Working around software limitations when standard CAM strategies fall short · Bridging the gap between engineering, programming, and machining to avoid costly miscommunication · Maximizing existing machine capabilities without compromising part quality · Collaborating under pressure to solve problems in real time on the shop floor Panelists will share real-world examples and proven strategies for overcoming these obstacles through smarter programming, tighter collaboration, and creative problem-solving. Whether you're running a small job shop or managing a larger operation, this session will offer practical insights to help your team work more efficiently, reduce rework, and stay competitive in a fast-changing manufacturing landscape. This conversation will bring this reality to light and attempt to lift up the entire industry, and encourage everyone to never stop learning, tinkering, and tweaking.

Speaker at WEST: Cameron Downs, Chief Executive Officer, Artisan Technologies

Speaker at WEST: Michael Sedique, Chief Operating Officer, Artisan Technologies

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.

Speaker at WEST: Mary Miller, Director of Marketing, PayTrace