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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. 

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

Speaker at EAST: Julian Biberger, Director Aerospace & Defense USA, SIEMENS

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EAST Session: Show Floor : 9:00 AM - 4:00 PM

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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.