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Speaker at WEST: Tyson Copa, Platform Specialist, IMAGINiT

WEST Session: The modern manufacturing shop floor demands seamless data exchange, real-time visibility, and operational efficiency to stay competitive. IMAGINiT FormsConnected optimizes these workflows by bridging the gap between design, production, and field operations. By digitizing paper-based forms and integrating them directly with Autodesk Fusion Manage and other enterprise systems, FormsConnected ensures accurate data capture, reduces manual errors, and accelerates decision-making. This enhanced connectivity empowers teams to track production status, manage change requests, and streamline quality checks in real time. As a result, manufacturers experience improved productivity, reduced downtime, and greater collaboration across departments, driving measurable gains in efficiency, profitability and overall growth.

Speaker at WEST: Cameron Downs, Chief Executive Officer, Artisan Technologies

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.

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WEST Session: Scaling Hardware Without the Headaches: The Critical Need for Automated Procurement Technology Hardware manufacturing teams face unprecedented challenges in scaling procurement operations while maintaining speed, compliance, and cost efficiency. Electronic components represent 70% of the bill of materials in mission-critical industries, yet traditional procurement systems rely on manual processes that create bottlenecks and force engineering teams to spend valuable time on logistics rather than core product development. The hardware industry urgently needs technological solutions that transform procurement from a laborious, error-prone process into automated workflows that scale efficiently without proportional increases in headcount. Modern procurement platforms must integrate advanced technologies to address the unique complexities of electronic component sourcing. Critical Technology Requirements: AI-Powered Process Automation - Advanced systems that can automatically parse unstructured data from supplier communications, emails, and attachments, converting them into structured data for ERP integration. Machine learning algorithms should track complete bills of materials across hundreds of suppliers, providing predictive insights and automated exception reporting to prevent supply disruptions. Intelligent Supplier Network Management - Technology platforms that leverage large databases of pre-vetted suppliers, using automated matching algorithms to connect procurement teams with suppliers based on technical specifications extracted from 2D/3D drawings and process documentation. This eliminates the time-consuming manual vetting process that often takes weeks. Real-Time Supply Chain Visibility - Integrated systems that provide instant access to inventory levels, bill of materials analysis, and global supply intelligence, with predictive algorithms that alert teams to compliance issues, supply disruptions, and component lifecycle changes weeks before they impact production. Research indicates that organizations implementing automated procurement technologies achieve 20% efficiency improvements while maintaining compliance with strict industry regulations. The future of hardware manufacturing depends on developing and adopting these technological solutions to eliminate traditional procurement bottlenecks and enable innovation in aerospace, defense, robotics, and other critical industries.

Speaker at WEST: Guillermo Peregrino, Manufacturing Engineering Manager, Aero Bending Company

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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.