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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.

EAST Session: Moderated by: Mark Michalski Adopting smart technologies like IoT, AI, and automation isn’t just about innovation—it’s about alignment, impact, and readiness. In this practical, strategy-focused panel, hear directly from manufacturers and technology experts who’ve successfully navigated the journey from pilot projects to scalable solutions. Join us to explore how small and mid-sized manufacturers can: - Align tech investments with business goals - Learn from real-world success stories in aerospace, medtech, and machining - Upskill their workforce to support digital transformation - Access regional resources for implementation support - Whether you're just exploring smart tech or already scaling, you’ll leave with actionable insights and connections to help future-proof your operations.

Speaker at EAST: Manoj Thakur, CEO, Driscoll Associates

Speaker at EAST: John McCullough, General Manager, Marketing, Kubotek Kosmos

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: 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

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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: 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.