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WEST Exhibitor:

WEST Session: Attendees can expect to hear an in depth description of the machine equipment that Kintek specially makes for turning and milling machines. They will understand that Kintek/ All Industrial Services CNC can perform service and installation as well. We want to help people realize that Kintek is there to simplify your needs, helping you from the very beginning of the problem until we solve it.

Speaker at WEST: Camryn Banuelos, Sales Representative, Kintek/ All Industrial Services CNC

WEST Session: AI is everywhere in the headlines, but most manufacturers are still asking the same question: where do we start? Between vendor hype and uncertain ROI, it’s hard to separate what’s possible from what’s practical. This talk will help cut through the noise and share a pragmatic roadmap for building AI capability in manufacturing. Attendees will learn three proven ways to apply AI today: automating documentation, accelerating compliance, and capturing engineering expertise, along with three common pitfalls to avoid when launching AI initiatives. Rather than a futuristic vision, this session provides concrete, usable steps that any manufacturer can take immediately, whether they’re a 50-person shop or a global enterprise. The key message: you don’t need a lab full of data scientists to get started. With the right workflows, AI can deliver measurable results now, and prepare your organization for the next decade of manufacturing innovation.

Speaker at WEST: Yaron Alfi, CEO, Magenta Software, Inc

Speaker at WEST: Jeffrey Fiala, President, UnDesked

Speaker at WEST: Paolo Ciampa, Commercial Manager, Kintek S.p.A

Speaker at WEST: Kevin Kerston, Senior Account Executive, SugarCRM

WEST Session: This presentation challenges the prevailing narrative that manufacturing must conform to AI, proposing instead that AI must evolve to meet manufacturing's unique demands. After over a decade of attempting to transplant cloud-designed AI models into manufacturing environments, it has become clear that this approach is not practical. Rather than continuing to quotes percentages of failures, we advocate for a fundamental shift in perspective. If AI's core strength lies in pattern recognition and learning, why not leverage this capability to make AI itself more adaptable to manufacturing contexts? This talk demonstrates how AI can be redesigned to thrive in manufacturing environments through concrete examples that accelerate the development of robust, continuously learning models. We examine three critical assumptions that, when reconsidered, significantly enhance AI adoption and scalability in manufacturing. First, we start with quantifying success. Time invested in understanding and quantifying the trade-offs that matter to a production line is invariably worthwhile. Consider quality control as an example: should you prioritize developing a model that catches every defect, or one that minimizes false positives by avoiding the misclassification of good products as defective? Like human decision-making, AI systems will inevitably make errors—the key is to design systems that account for and manage these errors rather than pretending they won't occur. Second, we tackle data strategy. Manufacturing data represents valuable intellectual property that demands strategic handling. Contrary to popular belief, more data doesn't always yield better results. Our experience shows that indiscriminate data usage often produces sluggish, costly models that are challenging to troubleshoot and maintain. Hence, data selection strategies play a crucial role in the long-term success of a solution. Finally, we emphasize AI's inherently non-deterministic nature. Treating AI as a deterministic tool fundamentally limits its adaptive potential. Instead of rebuilding AI systems with every product change, we propose designing solutions that inherently evolve with environmental shifts—both incremental and substantial. This approach positions AI as a dynamic partner in manufacturing, capable of continuous learning and adaptation rather than a rigid tool requiring costly reconfiguration.

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.