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Speaker at SOUTHEAST: Tyler Boykin, Vice President, Orases

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: Artificial intelligence has the potential to transform how companies operate, but too often, those investments fall short because the underlying data isn’t ready for AI. In this session, Rob Longfellow, CTO of Juxtum, will share how Juxtum helps organizations capture, clean, and integrate their data so that it works seamlessly with the AI platforms they already use. By breaking down silos, standardizing inputs, and creating scalable data pipelines, Juxtum ensures that AI delivers accurate insights, trusted recommendations, and measurable business value. Attendees will learn why strong data practices are the real key to AI success—and how Juxtum makes that possible today.

SOUTHEAST Session: Job shops, mid-size machine shops, and contract manufacturers power much of the world’s production, yet they face persistent constraints: skilled labor shortages, rising complexity, and pressure to deliver faster at lower cost. While AI adoption has taken root in large enterprises, the greatest untapped potential lies with small and mid-sized manufacturers. This session will cover how practical AI solutions can compress programming time, improve productivity and reskill existing and onboard new employees and attract a new generation of talent.

Speaker at SOUTHEAST: Steve George, Senior Manager Product Engineering – Solid Rounds, Kennametal

Speaker at SOUTHEAST: Christian Turnipseed, US Southeast Manager, Dispel

Speaker at SOUTHEAST: Elise Jones, Head of Corporate Marketing, Tulip Interfaces

Speaker at SOUTHEAST: Ryan Benson, Vice President of Security, CompassMSP

Speaker at SOUTHEAST: Enrique Herrera, Senior Principal, Strategy & Business Development, Zebra Technologies

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.