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Speaker at SOUTHEAST: Sherry Bolds, Plant Controller, Dimontonate USA

SOUTHEAST Session: Sponsored by: UiPath Moderated by: Paul Boris

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SOUTHEAST Session: Digital twins are rapidly becoming a cornerstone of advanced manufacturing, enabling companies to simulate, optimize, and validate their production processes in a virtual environment before committing to physical execution. This presentation explores the value of digital twins specifically in the domains of CNC machining, robotic automation, and the broader virtual factory. In CNC machining, digital twins replicate the behavior of machines, tools, and part geometries, allowing for precise simulation of toolpaths and real-time detection of potential collisions, over-travel, and inefficiencies. By simulating the exact machine kinematics, spindle dynamics, and tool libraries, manufacturers can reduce setup times, improve part quality, and significantly lower the risk of costly rework or downtime. In robotic work cells, digital twins mirror robotic behavior, motion, and task sequences. This enables manufacturers to program, test, and optimize robot trajectories and tool interactions virtually - ensuring safety, cycle time optimization, and maximum utilization of expensive automation assets. Collision detection, reach analysis, and process synchronization can all be handled digitally before deployment on the shop floor. At the virtual factory level, digital twins provide a holistic view of the entire manufacturing environment - integrating machines, robotics, material flow, operators, and logistics into a unified simulation. This enables strategic decision-making, accurate capacity planning, and the ability to test process changes in a risk-free virtual environment. The result is greater agility, resilience, and efficiency across the entire production lifecycle. Attendees will gain insight into how digital twins reduce risk, increase productivity, and enable smarter planning across manufacturing operations. By harnessing digital twins in CNC machining, robotic systems, and factory-wide simulations, companies can accelerate their journey toward digital transformation and fully realize the promise of Industry 4.0.

SOUTHEAST Session: In today's highly competitive manufacturing landscape, operational efficiency is more critical than ever. Yet, excessive energy consumption and unplanned downtime remain major challenges, significantly impacting productivity and costs. Traditional maintenance strategies often fail to address the root causes of inefficiencies, leading to unnecessary energy waste and unexpected failures. This session explores Energy-Centered Maintenance (ECM)—a data-driven, AI-powered approach that goes beyond conventional reliability-centered maintenance by integrating energy efficiency as a key decision-making factor. By leveraging advanced IoT sensors, AI-driven analytics, and real-time machine health monitoring, manufacturers can proactively detect faults, minimize energy loss, and extend asset life. Through real-world case studies and industry insights, attendees will learn how ECM enables manufacturers to reduce operational expenses, prevent unplanned downtime, and achieve sustainability goals—all without compromising productivity. The session will also highlight how machine learning and AI-driven predictive analytics help manufacturers make smarter maintenance decisions, optimizing energy use while ensuring equipment reliability. Whether you're looking to cut energy costs, enhance machine uptime, or align with Industry 4.0 and sustainability initiatives, this session will provide practical takeaways to help you transform your maintenance strategy. Learning Objectives Understand the limitations of traditional maintenance strategies and how excessive energy waste and unexpected downtime impact manufacturing costs and efficiency. Explore the principles of Energy-Centered Maintenance (ECM) and how AI-driven predictive analytics can optimize machine performance, reduce energy waste, and prevent costly breakdowns.

SOUTHEAST 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.

SOUTHEAST 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.

Speaker at SOUTHEAST: Rebecca Battle-Bryant, Director, Office of Statewide Workforce Development (OSWD)

SOUTHEAST Session: "The Manufacturing Leader's Playbook for Surviving Tariffs, Taxes, and Tech Turm," explores strategies for mitigating the effects of taxes and tariffs on manufacturing businesses through the use of modern business software. It covers key financial and operational factors such as OBBA, tariffs, and technology, highlighting how these elements impact R&D credits, clean energy credits, bonus depreciation, and potential savings. The presentation also delves into the benefits of ERP software, emphasizing the need for high-quality data ingestion, cost accounting, supplier diversification, customer prioritization, and predictive analytics to enhance profitability and market share. Additionally, it provides an example of a modern ERP platform and discusses the integration of Acumatica Manufacturing ERP, which combines financials, planning, and scheduling to support diverse manufacturing strategies and deliver real-time insights.