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Speaker at WEST: Michael Sedique, Chief Operating Officer, Artisan Technologies

WEST Session: Artificial Intelligence is revolutionizing nearly every industry—but many manufacturing operations are still missing out. Over the past five years, a growing divide has emerged. Some manufacturers are embracing Industry 4.0 and reaping the rewards. Others remain stuck—struggling with disconnected machines, underutilized data, and manual workflows that slow down operations. From isolated systems to paper-based logs, the American manufacturing sector often lacks the connectivity required to stay competitive in a global market. So what needs to change? The first step is breaking down data silos. To enable true Industry 4.0 capabilities, manufacturers must connect the factory floor with IT systems like ERP, MES, and WES. This connectivity lays the groundwork for advanced capabilities like predictive maintenance—where machine learning models monitor operations, learn normal patterns, and predict failures before they happen. It's also about integrating design and execution. Bridging CAD and CAM systems directly to production equipment eliminates manual recipe entry and reduces errors. By creating a unified namespace, manufacturers can abstract away proprietary device protocols and enable seamless communication between all components in the process. And this is where AI truly shines. With a connected infrastructure and unified data model, manufacturers can build digital twins—virtual representations of their production environments. These models power real-time optimization, simulation, and automation in ways that were once unimaginable. This talk presents real examples, practical steps, and the mindset shift required to modernize operations—so manufacturers don’t just keep up with Industry 4.0, but lead it.

Speaker at WEST: Mary Miller, Director of Marketing, PayTrace

WEST Session: In a manufacturing landscape where production has evolved to be lean, automated, and connected, post-sales support remains outdated—fragmented across PDFs, portals, and manual processes. Impaqx’s Pikclix redefines this landscape with SupportOps 3.0, a transformative, AI-powered platform built to modernize maintenance, service, and parts ordering. By integrating Generative AI, Agentic AI, LLMs, RAG, and Vision AI, Pikclix delivers intelligent, contextual, and actionable support experiences across the customer and technician journey. From conversational AI assistants trained on proprietary documents to clickable assembly diagrams that link directly to live parts catalogs, Pikclix simplifies complex tasks, enhances part identification accuracy, and improves customer satisfaction. The platform empowers manufacturers to scale rapidly—requiring no infrastructure overhaul, integrating with existing systems, and going live in under a month. Business impact is significant: reduced return rates, increased part order volume, and improved customer loyalty. With built-in analytics and automation, Pikclix not only answers support queries but uncovers trends, predicts failures, and drives engineering improvements. In an era where 40% of revenue can stem from aftermarket services, Pikclix transforms post-sales support into a strategic growth engine—bridging the modernization gap and preparing manufacturers for the future of intelligent support.

WEST Session: This presentation will explore how modern manufacturers can eliminate delays and inefficiencies in MRO purchasing through a smarter, more connected procurement experience. Traditional indirect materials procurement is often siloed, manual, and reactive—creating friction across sourcing, approvals, and delivery. Vroozi’s SpendTech® platform changes that by offering an intuitive, self-service marketplace that automates requisitions, ensures contract compliance, and increases spend under management. Attendees will see how smart manufacturing systems can trigger AI-driven purchase requests, enabling real-time MRO fulfillment to keep operations running. We’ll walk through a real-world example of how a leading manufacturer accelerated response time and reduced downtime by digitizing and automating their indirect procurement workflows.

WEST 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.

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