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: Ryan Benson, Vice President of Security, CompassMSP
Speaker at EAST: Tiansu Jing, Senior Product Manager, SIEMENS Industry Inc.
Speaker at EAST: Gavin Giguere, Director of Manufacturing | Vice President, Pilot Precision Products | Western MA National Tooling and Machining Association
EAST Session:
EAST Session: Abstract : Every leader wants better results – higher sales, greater profitability, stronger talent retention. But results don’t appear out of thin air. They are outcomes, effects—each with a cause. If you want to change the results your organization is getting, you must influence what’s driving them. It’s a simple concept: for every effect, there is a cause. Yet, in the manufacturing industry, many leaders struggle to connect the dots between the two. What’s really behind your key performance indicators? The answer lies not just in the actions and behaviors of your workforce but in what drives those behaviors. This session will take you beyond the surface—the visible metrics, processes, and results—to the unseen forces shaping them. The real game-changer? The quality of thinking within your organization. Your employees' beliefs shape their thought patterns, which drive their daily decisions, actions, and ultimately, your bottom line. An organization can never outperform the mindset of its people. Join us to discover how shifting the beliefs of your workforce can elevate performance and push your organization to new heights. Significance/Importance : Manufacturing leaders strive for higher sales, profitability, and talent retention, but these results stem from deeper causes. But there are unseen forces behind key performance indicators—employee beliefs and thought patterns. Only by shifting mindsets can leaders drive better decisions, behaviors, and outcomes. You can unlock the power of thinking to elevate performance and position your organization for long-term success. And you must if you want to set yourself apart from the masses.
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: Industrial AI is more accessible than ever. This technology, long viewed as “too complex” to implement, is now a practical productivity accelerator for manufacturers. The complexity misconception stems, in part, from the thinking that integration requires tearing out current systems. However, the reality is that it’s easily compatible with most legacy systems. By layering Industrial AI, ML, and other complementary tools on top of this existing data infrastructure, manufacturers reveal new improvement areas and free key resources to focus on the work that dictates long-term success. In this session, you’ll see how Industrial AI turns today’s operational challenges into an opportunity, a springboard for growth, and a means to provide your people with essential solutions. With capabilities like real‑time data contextualization and prescriptive recommendations, Industrial AI helps: - Make smarter decisions faster - Deliver continuous, measurable value - Scale subject matter expertise enterprise-wide Join us to learn how Industrial AI amplifies your workforce, maximizes the potential of your operations, and moves it forward faster than ever.
Speaker at EAST: Ronald Graves, President, Poiema Corporation
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.