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 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,...
Key Takeaways Late-stage changes get expensive fast: The farther a problem travels through design, testing, and manufacturing, the more time, cost, and rework it creates. Disconnected systems and weak traceability are major causes: When requirements, design, software,...
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:...
In many organizations, systems operate independently, creating a large visibility problem. A digital thread addresses this by creating a connected flow of product information across the lifecycle. This playbook explains why engineering visibility matters, and how...
Artificial intelligence is changing more than just a few engineering tasks. It is completely reshaping how engineering organizations manage requirements, testing, compliance, support, and development. For years, digital transformation has focused on adopting...
SPK and Associates is proud to announce that Channel Partners has recognized us as a top managed service provider of 2026. The MSP 501 is the technology industry’s prestigious ranking of the world’s top managed service providers. This marks SPK’s eighth consecutive...