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Speaker at EAST: Elio Trolio, Director, Value Consulting, Rockwell Automation

EAST Session: Abstract : Manufacturers are keen and pragmatic on how their capital is used to advance their state of manufacturing.  And it is clear to them how investments in physical assets bring operational value.  What is not so clear is the value-add of technology to their operations.  In this session, you will learn how to translate the value of technology to operations to facilitate internal planning and justification for technology investments. You will learn how to build a business case around technology to show the expected value and ROI of that investment. Using this approach, the project team can report the financial gains to key constituents to help with continued funding and support.  Significance/Importance : Manufacturers are keen and pragmatic on how their capital is used to advance their state of manufacturing.  And it is clear to them how investments in physical assets bring operational value.  What is not so clear is the value-add of technology to their operations.  In this session, you will learn how to translate the value of technology to operations to facilitate internal planning and justification for technology investments. 

Speaker at EAST: Todd Basque, Director of Engineering, Basque Engineering + Science Inc.

Speaker at EAST: Mark Michalski, Manufacturing Expert in Residence, FORGE

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

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

Speaker at EAST: Gavin Giguere, Director of Manufacturing | Vice President, Pilot Precision Products | Western MA National Tooling and Machining Association

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. 

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.