Dr. Monica Cortez
Speaker at SOUTHWEST: Dr. Monica Cortez, Statewide Director of Business Operations, Texas Manufacturing Assistance Center
Speaker at SOUTHWEST: Dr. Monica Cortez, Statewide Director of Business Operations, Texas Manufacturing Assistance Center
Speaker at SOUTHWEST: Kenny Vuong, Account Executive, Integris
SOUTHWEST Session:
Speaker at SOUTHWEST: Joe Fetter, Director of Sales, Integris
Speaker at SOUTHWEST: Nicky Pettit, Account Executive, Limble
SOUTHWEST Session:
SOUTHWEST Session:
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.
SOUTHWEST Session: As global manufacturing enters the next wave of industrial transformation, the convergence of digital threads and IoT is reshaping the way products are designed, built, and maintained. A digital thread creates a seamless flow of data across the product lifecycle — from design and engineering to production and aftermarket service. When paired with IoT-enabled smart factories, this integration unlocks unprecedented operational visibility, agility, and intelligence. This session explores how manufacturers are leveraging IoT to create connected ecosystems that power predictive maintenance, real-time quality control, autonomous operations, and closed-loop decision-making. We will discuss practical frameworks for implementing digital threads and highlight ROI-driven success stories from discrete and process manufacturing. Participants will walk away with a clear understanding of: The role of IoT sensors, edge computing, and AI in transforming factory floors Use cases that demonstrate measurable gains in OEE, sustainability, and workforce efficiency A roadmap for integrating IoT into existing manufacturing systems without disrupting operations This talk is essential for manufacturing leaders looking to accelerate their Industry 4.0 journey and future-proof their operations through connected intelligence.