Key Takeaways Governance must come before scale: AI agents can access data and take actions, meaning clear rules around what they can see and do must be established before widespread deployment. Follow the principle of least privilege: Agents should only receive the...
The aerospace industry is facing a slowdown in development timelines and higher quality costs. A digital thread resolves these issues by creating a unified, intelligent product lifecycle that connects design, manufacturing, and service.What You Will Learn In this...
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...
Today, product development almost always involves a data center. And the data center is more than just a collection of servers and racks. For a global medical technology leader, it is the heartbeat of the engineering organization. It houses the mechatronics...
Federal system integrators (FSIs) must deliver advanced solutions while managing the complexities of day-to-day work. Explore how GitLab Duo Self-Hosted enables FSIs to deploy AI capabilities securely across any federal environment.What You Will Learn In this eBook,...
Intro to AI Governance and Mistakes to Avoid Hello, and welcome to this SPK and Associates vlog. My name is Michael Roberts. I'm the Vice President of Sales and Marketing with SPK. Now, everybody knows that artificial intelligence is transforming the way that...
Engineering leadership often faces a difficult choice between adopting cutting-edge innovation and maintaining strict data sovereignty. This balance is particularly delicate in regulated environments like medical device manufacturing, automotive engineering, and...
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...
The rapid integration of Artificial Intelligence into the modern engineering workplace has promised a new era of efficiency. From Atlassian Rovo to GitLab Duo, AI agents are now capable of summarizing complex documentation, generating code, and managing Jira workflows...
It’s 2026, and AI is extremely accessible, but knowing how to apply it within your specific business context can be a challenge. To start, LLMs lack the deep, proprietary context of, for example, product requirements or complex assembly structures. Without this...
Modern business tools are rapidly adopting AI, creating a major shift in how organizations work, collaborate, and innovate. Unlike traditional software, AI systems can learn, generate content, and make recommendations in ways that are not always fully predictable. For...
Automotive manufacturers are arguably navigating the most significant transformation to the industry since the invention of the assembly line. Modern vehicles have evolved far beyond basic transport, as they are now sophisticated software-defined systems. These...