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EAST Session: Abstract : This session explores the growing relevance of Statistical Process Control (SPC) in today’s production environments. We begin by examining the role of real-time data—referred to as the "1st life" of data—captured during the production process, emphasizing the key capabilities, expectations, and benefits of a real-time SPC system. Moving beyond its initial use, we explore the "2nd life" of data, transitioning it from a compliance and process control tool to a valuable resource for advanced analysis. This includes its role in problem-solving, root cause analysis, and predictive applications such as modeling and simulations. The session highlights how leveraging both real-time and historical data can enhance decision-making and drive continuous improvement in manufacturing processes. Significance/Importance : Minitab surveys have found that most Statistical Process Control users, approximately 65%, have SPC in place to demonstrate their ability to meet specification limits, using SPC as a compliance tool. Our results also show that only 4% of manufacturers using SPC have achieved manufacturing excellence, meaning that they leverage process understanding and ensure predictable output. The session highlights maximizing the benefit of your real-time SPC data, growing from a compliance tool to a true continuous improvement system. We will explore leveraging SPC data to enhance decision-making and to drive continuous improvement in manufacturing processes.

Speaker at EAST: Ronald Graves, President, Poiema Corporation

Speaker at EAST: Andres Ruiz, Business Development & Pre-Sales Consult • Products, Tata Technologies

EAST Session: • 10:00 AM – 11:00 AM: What is 3D Printing and Why Should My Company Be Interested? Presenter: Jeff Crandall • 11:00 AM – 12:00 PM: Ask An Expert: Additive Manufacturing and Digital Technologies Presenter: Jeff Crandall and Nasir Mannan • 1:00 PM – 2:00 PM: Introduction to Metal 3D Printing Technologies Presenter: Jeff Crandall • 2:00 PM – 3:00 PM: 1:1 Meetings

Speaker at EAST: Rick Sloop, Product Manager, Minitab

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.

Speaker at EAST: Adam Honig, CEO, Spiro.ai

EAST Session:

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

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.