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Speaker at EAST: Matt Hodson, Platform Specialist, IMAGINiT Technologies

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

EAST Session:

Speaker at EAST: Steven Carr, President and Founder, Crawford Software

EAST Session:

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

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: Abstract : Manufacturers have unique technology needs that require both a robust and extremely stable IT infrastructure. At the EASTEC Conference, part of the Manufacturing Technology Series, CompassMSP will showcase how cutting-edge IT and cybersecurity solutions empower manufacturing businesses to stay connected, secure, and compliant. As regulatory requirements evolve and cyber threats grow, manufacturers need robust technology solutions to streamline operations and safeguard sensitive data. See how industry-specific managed IT and security services can enhance productivity, ensure compliance with industry standards, and fortify manufacturers against cyber risks. Attendees will discover how CMMC service offerings drive efficiency, ensure regulatory compliance, and accelerate growth and productivity, empowering manufacturers to stay competitive and secure in an evolving industry. Significance/Importance : As regulatory requirements evolve and cyber threats grow, manufacturers need robust technology solutions to streamline operations and safeguard sensitive data, including but not limited to CMMC. If you want to keep your business, intellectual property, and customer information safe from cybersecurity risks, the Cybersecurity Maturity Model Certification (CMMC) is a best-practices cybersecurity framework every manufacturer should consider to protect their organization. If you are in the defense/DoD supply chain or are considering entering this area, CMMC will be a requirement for all contracts and will affect every contract coming down the line thereafter.  

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: 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.