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SOUTHWEST Session: Driven by the rise of Edge AI, industrial machine health monitoring is undergoing a transformative shift—enabling smarter, faster, and more autonomous decision-making at the edge. In this session, we’ll explore how edge computing and artificial intelligence are converging to deliver real-time insights directly at the source of data generation, minimizing latency and enhancing responsiveness. We'll examine traditional Condition-based Monitoring (CbM) methods and their limitations in dynamic industrial environments, then dive into how predictive and prescriptive maintenance strategies—utilizing Edge AI—are anticipating failures, optimizing performance, and reducing costly downtime. This evolution is reshaping the future of industrial reliability, operational efficiency, and long-term asset sustainability.

SOUTHWEST Session: Manufacturers from fabricators to assembly shops are all challenged with workforce woes, the need to boost productivity and the endless quest for quality. Knowing automation is the answer is one thing, but actually finding real success with technology investments can feel challenging and risky. How do you know what will truly bring value to the organization? How do you determine the return? And now with the hype of Artificial Intelligence (AI) seemingly on every product, how do manufacturing leaders determine the right places to invest limited time and capital budgets? In this session, we will delve into the ever-evolving landscape of automation & AI in the factory and take a look at technologies that are having a real impact today across the shop floor. Then we will stare into the crystal ball to look forward at technologies that are on the near horizon that manufacturing leaders should be keeping an eye on. Covering important topics like human-robot collaboration, automated equipment tending, data-driven insights, cobot welding, predictive maintenance, robot guided vision, bin picking, collaborative automation, quality inspections, and much more, attendees should leave this session ready to make value-creating technology investments in their business. Join us as we explore how AI is reshaping the factory floor — one algorithm at a time.

SOUTHWEST Session:

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

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

Speaker at SOUTHWEST: Tyler Boykin, Vice President, Orases

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