As Chief Technology Officer at Juxtum, I focus on helping manufacturers get real value out of their data. Over the last few years, I’ve led our efforts to build secure, reliable systems that connect machines, sensors, and software in ways that make information both usable and actionable. My background in IIoT and process improvement has shaped how we design technology that’s practical on the shop floor but powerful enough to drive enterprise-wide decisions. Much of my work centers on turning raw industrial data into structured intelligence — the kind of data that supports advanced analytics, machine learning, and AI-driven optimization. We’ve built our platform around open standards like MTConnect and custom connectors that pull data directly from CNCs, PLCs, robots, and sensors. That data then feeds into real-time visualization tools, performance analytics, and predictive models that help customers increase uptime, efficiency, and throughput. What I enjoy most is the technical challenge of bridging operational technology and information systems. Whether it’s edge data processing, secure integration with cloud environments, or building out time-series databases, the goal is always the same — give manufacturers trustworthy data they can actually use. At Juxtum, we’re laying the groundwork for AI in manufacturing the right way: by ensuring data is accurate, contextualized, and available when it matters most. It’s rewarding to see our customers move from collecting data to using it intelligently — that’s when digital transformation really starts to take hold.