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EAST Session: Abstract : In today's highly competitive manufacturing landscape, operational efficiency is more critical than ever. Yet, excessive energy consumption and unplanned downtime remain major challenges, significantly impacting productivity and costs. Traditional maintenance strategies often fail to address the root causes of inefficiencies, leading to unnecessary energy waste and unexpected failures. This session explores Energy-Centered Maintenance (ECM)—a data-driven, AI-powered approach that goes beyond conventional reliability-centered maintenance by integrating energy efficiency as a key decision-making factor. By leveraging advanced IoT sensors, AI-driven analytics, and real-time machine health monitoring, manufacturers can proactively detect faults, minimize energy loss, and extend asset life. Through real-world case studies and industry insights, attendees will learn how ECM enables manufacturers to reduce operational expenses, prevent unplanned downtime, and achieve sustainability goals—all without compromising productivity. The session will also highlight how machine learning and AI-driven predictive analytics help manufacturers make smarter maintenance decisions, optimizing energy use while ensuring equipment reliability. Whether you're looking to cut energy costs, enhance machine uptime, or align with Industry 4.0 and sustainability initiatives, this session will provide practical takeaways to help you transform your maintenance strategy. Significance/Importance : Learning Objectives Understand the limitations of traditional maintenance strategies and how excessive energy waste and unexpected downtime impact manufacturing costs and efficiency. Explore the principles of Energy-Centered Maintenance (ECM) and how AI-driven predictive analytics can optimize machine performance, reduce energy waste, and prevent costly breakdowns.

Speaker at EAST: Sam Kusack, President, Kammetal Inc.

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

Speaker at EAST: Brian Richmond, Chief Revenue Officer, Nanoprecise SCI Corp

EAST Session:

EAST Session:

EAST Session: Abstract : Manufacturers have more customer data than ever before, yet many still struggle to turn that data into real insights. Too often, sales teams rely on gut instinct, outdated reports, or incomplete CRM entries, leading to missed opportunities and inefficient processes. AI changes the game by analyzing patterns humans can’t see, uncovering hidden sales opportunities, and predicting customer needs before they arise. In this session, we’ll explore how AI can transform the way manufacturers understand and engage with customers—without requiring a complete digital overhaul. We’ll discuss real-world applications of AI in sales and customer relationships, including proactive recommendations, automated data capture, and predictive insights. You’ll leave with a clear understanding of how AI can help you move beyond guesswork, make data-driven decisions, and build stronger, more profitable customer relationships. Significance/Importance : Manufacturers have long relied on relationships and gut instinct to drive sales, but today’s competitive landscape demands more. Traditional CRMs were meant to help but became data-entry burdens, leading to poor adoption and missed opportunities. AI is changing the game by turning raw data into actionable insights—automating manual processes, predicting customer needs, and uncovering hidden sales opportunities. Companies that embrace AI gain a competitive edge, while those that don’t risk falling behind. This session will show how AI helps manufacturers move beyond guesswork, make smarter decisions, and build stronger customer relationships with less effort.

Speaker at EAST: Nat Frampton, Co-Founder, LECS Energy, LLC

Speaker at EAST: John Carpenter, Founder, Owner, President, Excellerant

Speaker at EAST: Eric Swezey, Senior Enterprise Account Executive, Zoovu