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...
When developing complex products, visibility is the difference between a successful launch and a costly recall. Yet, despite having more tools than ever, most engineering leaders feel like they are flying blind. Critical information is scattered across a fragmented...
PTC NEXT Spring 2026 showcased a clear vision for the future of engineering software: connected product data, AI-powered workflows, modern cloud platforms, and an increasingly integrated digital thread spanning CAD, PLM, ALM, manufacturing, and service operations....
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...
AI shouldn’t be a moonshot—it should be an operating model. In this practical session, SPK experts reveal how to turn scattered pilots into a funded, responsible plan in just 90 days. We’ll walk through AI Launchpad, our assessment and roadmap that benchmarks your...
Traditional engineers often view data as a byproduct of the design process. They store data in static PDF reports or miscellaneous CAD files. However, as we enter the era of digital engineering, that perspective is shifting. Today, product data is no longer just a...