Key Takeaways Consultants, professional services, and managed services serve different purposes. Consultants provide strategic guidance, professional services focus on implementation, and managed services support ongoing operations. Forward Deployed Engineers (FDEs)...
Key Takeaways AI ROI starts with a measurable business problem. Companies should define what they want AI to improve before investing in tools or launching pilots. AI value should be measured across speed, quality, cost, and capacity. These four areas help connect AI...
Key Takeaways AI pilots often struggle in production because real enterprise environments are complex. Legacy systems, fragmented data, security requirements, and compliance constraints can quickly expose the limits of a successful demo. Forward Deployed Engineers...
Key Takeaways Choose the machining strategy based on part complexity: 3-axis machining works well for straightforward parts, while 3+2 and 5-axis machining provide greater flexibility for complex geometries and features that require access from multiple angles. 3+2...
Key takeaways Faster engineering does not always require more headcount: Disconnected systems, manual handoffs, rework, and poor visibility often create more delays than a lack of engineering capacity. A digital thread can eliminate major sources of wasted time:...
PLM and Digital Strategy for CIOs Hello, everyone, and welcome back to another SPK and Associates vlog. My name is Michael Roberts. I'm the Vice President of Sales and Marketing here at SPK and Associates. Today, we're tackling a topic that comes up consistently in...
Key Takeaways Secure AI for regulated manufacturing: MasterControl AI operates within a closed, controlled cloud environment, keeping sensitive quality data inside its privacy boundary and away from third-party LLMs. Built for compliance, not general use: Its...
While the pressures of strict quality standards and expected innovation are not new for the aerospace and defense industry, they are becoming harder to manage with disconnected legacy tools, manual processes, and siloed product data. For these organizations, digital...
In all of automotive history, vehicles have been defined by mechanical performance, hardware reliability, or manufacturing efficiency. That has all started to change as software, connectivity, autonomy, electrification, and personalized digital experiences become a...
Digital engineering is changing how companies design, build, and manufacture complex products. Instead of relying on disconnected documents and manual handoffs, organizations are moving toward digital threads, simulations, and AI-enabled workflows. However, digital...
As an automotive engineer, it is hard to ignore the rise of software-defined vehicles and electrification. When combined with strict compliance expectations and growing pressure to innovate faster, traditional engineering systems just aren’t cutting it. On-premise...
Manufacturing execution systems (MES) were once the backbone of shop floor control. Today, many legacy MES platforms have become barriers to innovation rather than enablers of it. Slow deployment cycles and limited integration capabilities make it difficult for...