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SOUTHEAST Session: This presentation showcases the successful migration of Prym Consumer USA from a local SAP ERP to the Prym Group’s global SAP platform, a transformation that redefined core manufacturing and supply chain operations. Completed in just eight months, the project modernized order-to-cash, procure-to-pay, finance, warehouse management, and returns processes while aligning with Prym’s fiscal year change. To address manufacturing challenges, advanced automation solutions, including Pick by Light and a Loose Item picking sorter were implemented to boost accuracy and efficiency in logistics. Seamless EDI integration via Seeburger connected Prym with leading U.S. retailers such as Walmart and Amazon, while Shopify integration expanded direct-to-consumer sales. Delivered on time, under budget, and with minimal disruption, this case study offers a clear roadmap for manufacturers seeking to harmonize global processes, adopt automation, and strengthen supply chain resilience in today’s competitive landscape.

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: Elise Jones, Head of Corporate Marketing, Tulip Interfaces

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

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: 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: Susan Carlock, Co-Owner & Executive Vice President, Mursix Corporation & Murray Mentor, Inc.

SOUTHEAST Session: Manufacturers performing visual inspections on their products have historically had two options: perform the inspection manually, or program a rule-based vision system. Both of these options are slow, inflexible, and costly to maintain. However, as Graphical Processing Units (GPUs) have become more powerful, a third approach has become available: deep learning. Deep learning-based vision systems learn directly from annotated images to perform inference on images. They offer numerous advantages including rapid deployment, greater detection flexibility, and lower development and acquisition costs. They are also easily retrained and reconfigured with minimal to no programming.  As such, they represent a massive opportunity to automate quality inspection for small to medium sized manufacturers. In this presentation, we will discuss the technology that enables AI-based computer vision, the advantages they provide, use cases, and how to best implement them. Attendees will walk away with a clear understanding of where deep learning fits into their operation and how to get started with the right tools and strategy.