Key Takeaways AI adoption alone does not prove ROI. Teams must measure how AI coding tools impact development speed, software quality, engineering capacity, and overall costs. Developer time saved must translate into business value. Tracking recovered hours,...
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)...
Challenges Increased market demands and need for real-time global collaboration Insufficient Product Data Management (PDM) system for the scale and complexity of operations Need to translate a single EBOM into accurate MBOMs across global locations Increasingly...
Product teams all have the same goal: produce high-quality products and reduce time to market. Achieving these goals simultaneously can be difficult, but your team doesn’t have to sacrifice one for the other. Learn how in this eBook.What You Will Learn In this eBook,...
Key Takeaways: AI is changing simulation from a late-stage validation step into a continuous part of product development, helping teams explore more designs, automate setup, and support predictive digital twins. AI-driven simulation still depends on high-performance...
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 AI needs lifecycle context to deliver real value: Standalone AI tools often struggle because they cannot see how requirements, designs, code, tests, and quality data connect across the product lifecycle. The digital thread provides the missing context:...
Key Takeaways Visibility, not complexity, is often the real problem: Disconnected requirements, hardware, software, testing, and quality data make it difficult for teams to understand product status and downstream impacts. Data silos create delays and compliance risk:...
Vehicles are only becoming more software-defined. As innovations break into the industry, automotive engineers and Tier 1 suppliers must keep up. Explore how they do so in this eBook.What You Will Learn Discover how: Software has become the differentiator in...
Introduction Michael Roberts: Hello, and welcome back to another SPK & Associates vlog. My name is Michael Roberts. I'm the Vice President of Sales and Marketing here at SPK & Associates, and today we have a special guest. I'm joined by SPK's CEO and...
Key Takeaways Slow engineering onboarding delays productivity: Waiting for workstations, CAD software, VPN access, and engineering data can keep new hires and contractors from contributing for days or weeks. Cloud CAD removes hardware and setup bottlenecks:...
Key Takeaways AI failures are often foundation problems, not technology problems: Engineering AI initiatives frequently stall because organizations lack clear business objectives, trusted data, connected systems, and scalable processes. AI needs connected,...