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SOUTHWEST Session:

SOUTHWEST Session:

SOUTHWEST Session:

SOUTHWEST Session: The future of manufacturing is being reshaped by the integration of Acumatica, AI, ML, LLMs, and IoT. These technologies collectively drive unprecedented efficiency, innovation, and sustainability. Acumatica’s cloud ERP streamlines operations and scalability, while AI and ML optimize production, predict maintenance, and analyze data for smarter decision-making. LLMs enhance communication and automate documentation, and IoT enables real-time monitoring and interconnected smart factories. Together, they reduce costs, minimize waste, and foster agility, positioning manufacturers to thrive in a competitive global market. By embracing these advancements, companies can achieve long-term success, transform their operations, and lead the industry into a new era of productivity and sustainability.

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: Join us for a town hall event designed for exhibitors and attendees to help shape the future of federal research and development in advanced manufacturing. SPECIAL REGISTRATION IS REQUIRED: Register Here Participants will share insights to help define the priorities for the 2026 – 2030 National Strategic Plan for Advanced Manufacturing, which guides Federal efforts to enhance the competitiveness of U.S. manufacturing. The plan is revised every four years to provide new federal priorities in advanced manufacturing research and development, aiming to create jobs, boost economic growth across various sectors, and strengthen national security. This town hall session augments an online Request for Information (RFI), enabling participants to voice their views and catalyze deeper input into priority areas. The White House Office of Science and Technology Policy has posted the complete set of questions in the Federal Register. The National Science and Technology Council’s Subcommittee on Advanced Manufacturing will manage the RFI process, and the NIST Office of Advanced Manufacturing will collect and analyze the information. Learn more here: White House Fact Sheet This exclusive town hall roundtable gives manufacturing leaders the opportunity to: Get a seat at the table with peers and policymakers Make your voice heard in shaping U.S. manufacturing priorities Provide deeper insights beyond the formal Request for Information (RFI) process.

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: Arjun Subramaniam, Director of Robotics and AI, Blue Onyx Systems

Speaker at SOUTHWEST: Austin Justice, Vice President, CMMC Compliance Guide

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