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Edge AI: The Future of Industrial Machine Health Monitoring

SOUTHWEST Session: Driven by the rise of Edge AI, industrial machine health monitoring is undergoing a transformative shift—enabling smarter, faster, and more autonomous decision-making at the edge. In this session, we’ll explore how edge computing and artificial intelligence are converging to deliver real-time insights directly at the source of data generation, minimizing latency and enhancing responsiveness. We'll examine traditional Condition-based Monitoring (CbM) methods and their limitations in dynamic industrial environments, then dive into how predictive and prescriptive maintenance strategies—utilizing Edge AI—are anticipating failures, optimizing performance, and reducing costly downtime. This evolution is reshaping the future of industrial reliability, operational efficiency, and long-term asset sustainability.

The Future of Manufacturing: Harnessing Acumatica, AI, ML, LLMs, and IoT

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.

Joe Fetter

Speaker at SOUTHWEST: Joe Fetter, Director of Sales, Integris

Tim Gicewicz

Speaker at SOUTHWEST: Tim Gicewicz, Sr. Solutions Architect, TDK SensEI (USA)

Jordan Dugosh

Speaker at SOUTHWEST: Jordan Dugosh, Account Executive – TOLA/LATAM, Dispel

Overcoming Variability Challenges in Surface Processes with Adaptive Automation

SOUTHWEST Session: Manufacturers increasingly struggle with robotic surface finishing, treatment, and welding as production shifts toward high-mix, high-variability manufacturing. Traditional robotic systems demand time-consuming, manual programming—often taking days or weeks to accommodate complex geometries. These systems also lack adaptive capabilities, making it difficult to compensate for part variations. The result: costly manual touchups, process inefficiencies, and production delays.   Augmentus transforms robotic surface applications by combining advanced 3D scanning with automated toolpath generation. By eliminating the need for manual programming and enabling seamless adaptation to part variations, Augmentus delivers greater accuracy, reduced rework, and significantly improved operational efficiency.   This presentation explores how Augmentus overcomes key industry barriers—empowering manufacturers with precision, adaptability, and unmatched process efficiency across surface finishing, surface treatment, and welding applications.

Matt Jones

Speaker at SOUTHWEST: Matt Jones, Head of GTM, NA, Augmentus Robotics

Andrew Shone

Speaker at SOUTHWEST: Andrew Shone, Fusion Development Lead, Tokamak Energy Inc.

Rob Sims

Speaker at SOUTHWEST: Rob Sims, Founder & CTO, Alchemi Data Management, Inc.