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Speaker at SOUTHWEST: Billy Bogue, President, Matsuura Machinery USA

Speaker at SOUTHWEST: Brian Ellis, Founder, Docket

SOUTHWEST Session: Moderated by: Jamie Goettler, BTX Precision Rather than start with a discussion of all the technologies available in the industrial marketplace, this panel session will start by outlining the primary concerns of manufacturing businesses. By first appealing to what the audience (machining businesses) cares about most at the start, the panel will logically ease into a discussion of how available technologies can help achieve greater outcomes for these businesses…in other words, solutions to the preeminent problems. Among the concerns highlighted at the outset will be improving competitiveness (domestically and globally), throughput (business growth), and yes productivity in the face of the manufacturing skills gap. The panel will be represented by industry leaders who either are dealing with these concerns directly, or those that have a “front row seat” to a variety of companies that seek to survive and thrive. Technologies that will be addressed will likely include automation, robotics, workforce training, machining technology, machine monitoring, software and AI to name a few. The above will be discussed in the first Executive Perspectives panel discussion on Tuesday, followed on Wednesday with another critical topic…cybersecurity.

Speaker at SOUTHWEST: Errol Burrell, National Product Manager, Matsuura USA

SOUTHWEST 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.

SOUTHWEST 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 SOUTHWEST: David Smith, Chief Marketing Officer, Novobi, Inc

Speaker at SOUTHWEST: Leo Lee, Lead Consultant, Novobi, Inc.

Speaker at SOUTHWEST: Mark Lilly, President & CEO, Lillyworks, Inc.

SOUTHWEST Session: LillyWorks’ Protected Flow Manufacturing (PFM) solves “The Late Problem” for manufacturers by implementing the “Dynamic Production Method” (DPM). DPM applies 3 principles from Lean/TOC and other manufacturing improvement techniques to deliver fast results so that Manufacturers can quickly see their On-Time Delivery go up, and their production lead-times go down. Manufacturers can implement DPM quickly using LillyWorks’ Protected Flow Manufacturing (PFM) software. PFM speeds the flow of information to production personnel, so they have the visibility to make the right decisions to accelerate the flow of material and workorders through the manufacturing shop. Manufacturers implementing PFM typically see significant improvements in OTD, reductions in production leadtimes, and increased throughput within 60 – 90 days. PFM can be used in a stand-alone mode, or tied directly to the company’s ERP system.