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EAST Exhibitor: OGP (Optical Gaging Products), a division of Quality Vision International Inc. (QVI®), is a world-leading manufacturer of precision multisensor metrology systems for industrial quality control. Our metrology systems focus on measurement technologies that help manufacturers monitor dimensional compliance to design specifications. First introduced in 1992, our famous OGP SmartScope® product family has become one of the world’s most popular and versatile dimensional measurement systems. SmartScope systems are designed and produced at QVI corporate headquarters in Rochester, NY, USA. Today, OGP offerings have expanded to include shaft measurement systems and a line of innovative multisensor CMMs. OGP products also include 3D scanning systems and measuring systems with unique capabilities to support high volume production. With over 75 years of technical innovation for metrology, OGP is recognized worldwide as a customer trusted supplier of non-contact and multisensor dimensional measuring systems. In today’s world, improved productivity is everyone’s goal.

EAST Exhibitor: OPEN MIND is one of the world’s most sought-after developers of powerful CAM solutions for machine and controller-independent programming. OPEN MIND develops optimized CAM solutions that include a high number of innovative features not available elsewhere to deliver significantly higher performance in both programming and machining. Strategies such as 2.5D, 3D as well as 5-axis milling/mill turning, and machining operations like HSC and HPC are efficiently built into the hyperMILL® CAM system. hyperMILL® provides the maximum possible benefits to customers thanks to its full compatibility with all current CAD solutions and extensive programming automation.

EAST Session: Equipment manufacturers face rising competition, hardware commoditization, and shrinking margins. The solution? Innovating with IoT, AI, and cloud services to enhance equipment value and create new revenue streams. By connecting hardware to the cloud via wireless sensors, manufacturers can collect real-time data on health and usage. This enables value-added services like condition monitoring, asset tracking, and predictive maintenance—paving the way for Equipment as a Service (EaaS). While full servitization is a long-term goal, the journey brings immediate benefits: competitive differentiation, stronger customer relationships, and recurring revenue. However, 75% of these projects fail or face long delays, and many manufacturers struggle to sell software-based solutions. In this talk, we’ll break down the challenges of integrating IoT and AI—and how to overcome them. With over a decade of experience, we’ll highlight common pitfalls and share success stories from industry leaders using a “Buy and Build” approach. You’ll leave with actionable strategies to accelerate your servitization journey and maximize equipment value. Significance/Importance: If you're standing still, you're falling behind. And staying ahead means innovating. Unfortunately, 75% of IoT projects fail, or drag on for years. Don't be another statistic. This talk will leave you with actionable strategies to accelerate and succeed on your servitization journey.

EAST Session: Effective data collection is critical for optimizing production lines, yet traditional methods such as manual recording and PLC-coded data collection are fraught with inefficiencies and inaccuracies. Manual data entry often misses short downtime events and is subject to operator bias, while PLC-based systems suffer from inconsistencies, excessive costs, and revalidation challenges. The future of data collection lies in automation, modular modeling, and intelligent data processing, providing a foundation for digital transformation and sustainable manufacturing excellence. This session will explore the following concepts: · Advanced data collection goes beyond monitoring bottleneck operations, incorporating machine-level insights across all assets. · A multi-layered approach – integrating real-time signal processing, logic engines, and high-speed data acquisition – enhances fidelity, reduces integration costs, and improves root cause analysis. · Additionally, Aa Fault Learning approach dynamically identifies and ranks faults, leading to better diagnostics and predictive maintenance. · By leveraging digital twins, synchronizing multiple data streams, and enabling fast data validation, companies can significantly improve operational efficiency. · A robust data collection strategy supports MES, OEE, and AI/ML applications, ensuring accurate modeling, predictive analytics, and enterprise-wide standardization.

EAST Session: Moderated by: Steve Plumb Rather than start with a discussion of all the technologies available in the industrial marketplace, this panel session will start by outlining the primary concerns of manufacturing businesses. By first appealing to what the audience (machining businesses) cares about most at the start, the panel will logically ease into a discussion of how available technologies can help achieve greater outcomes for these businesses…in other words, solutions to the preeminent problems. Among the concerns highlighted at the outset will be improving competitiveness (domestically and globally), throughput (business growth), and yes productivity in the face of the manufacturing skills gap. The panel will be represented by industry leaders who either are dealing with these concerns directly, or those that have a “front row seat” to a variety of companies that seek to survive and thrive. Technologies that will be addressed will likely include automation, robotics, workforce training, machining technology, machine monitoring, software and AI to name a few. The above will be discussed in the first Executive Perspectives panel discussion on Tuesday, followed on Wednesday with another critical topic…cybersecurity.

EAST Session: • 10:00 AM – 11:00 AM: Introduction to Metal 3D Printing Technologies Presenter: Jeff Crandall • 11:00 AM – 12:00 PM: Automation of Production Programming Presenter: Nasir Mannan • 2:00 PM – 2:45 PM: Automated Welding Using Model-Based Definition Presenter: Nasir Mannan

EAST Session:

EAST Session: Show Floor: 9:00 AM - 5:00 PM

EAST Session: Abstract : In today's rapidly evolving manufacturing landscape, the advent of smart factories heralds a new era of increased efficiency, adaptability, and productivity. As businesses transition towards these intelligent production models, the integration of robust enterprise resource planning (ERP) systems becomes essential for maximizing these advantages. This presentation delves into the transformative potential of SYSPRO ERP, underscoring its pivotal role in ushering businesses into the age of Industry 4.0 and digital transformation.  We will explore the core features of SYSPRO ERP and how they specifically cater to the demands of smart manufacturing. Attendees will learn how this innovative system seamlessly interconnects with modern manufacturing technology to facilitate data-driven strategies and real-time decision-making, which are critical in the fast-paced business environment. By integrating AI, SYSPRO ERP enhances the responsiveness and precision of manufacturing processes, leading to marked improvements in both operational and supply chain efficiency. Furthermore, the presentation will highlight the importance of continuous improvement and adaptability, emphasizing how SYSPRO ERP equips organizations with the tools needed to respond swiftly to market changes and customer needs. The session will feature insightful case studies of companies that have successfully navigated this integration. Finally, we invite you to join us in exploring how SYSPRO ERP can not only streamline your operations but also act as a catalyst for your organization's digital transformation, advancing your competitive position in today's fast-paced industry. Engaging with this cutting-edge technology will empower businesses to leverage data more effectively and drive innovation in their manufacturing processes. Significance/Importance : Like many successful concepts, Smart Manufacturing is effective only when implemented correctly. The enablement and execution of Smart Manufacturing are crucial to achieving success. This topic focuses on enabling Smart Manufacturing through a modern and capable ERP system like SYSPRO.  By the end of this presentation, the audience will gain essential insights to navigate their digital journeys successfully, making Smart Manufacturing a tangible reality for their organizations using SYSPRO ERP Solutions.

EAST Session: Abstract : Are you confident that your machine monitoring solution can scale with your evolving data needs? Many manufacturers adopt IIoT solutions only to realize too late that rigid connectivity architectures limit their future growth. As manufacturing technology advances and data-driven decision-making becomes essential, off-the-shelf monitoring solutions and short-term fixes may seem convenient but often create long-term limitations. Manufacturers need a scalable, secure, and interoperable connectivity framework to maximize IIoT investments and ensure seamless data flow across their operations. At Juxtum, we help manufacturers bridge the gap between machine connectivity and actionable intelligence. In this webinar, Juxtum’s IIoT experts will uncover the most common mistakes companies make when selecting a machine monitoring platform and provide a roadmap to choosing a future-ready solution that delivers ROI while supporting long-term digital transformation. Significance/Importance : Why Is This Topic Important? Manufacturers rely on IIoT for real-time insights, but many adopt machine monitoring solutions without considering long-term connectivity needs. Early off-the-shelf solutions often create data silos, limiting scalability and interoperability. As Industry 4.0 advances, seamless, future-proof connectivity is essential for optimizing operations. Without it, businesses face costly system overhauls and missed efficiency gains. This webinar helps manufacturers—both new and experienced—avoid common pitfalls, choose a sustainable solution, and ensure their machine data remains an asset, not a barrier, to growth.