Introduction Michael Roberts: Hello, and welcome to another SPK and Associates vlog. As we probably are already well aware, if you're watching this video, artificial intelligence is evolving at a remarkable pace, and the conversations around AI are quickly shifting...
As organizations move more teams, projects, and workflows into Atlassian Cloud, identity management becomes one of the most important parts of a secure cloud strategy. Jira, Confluence, Jira Service Management, Bitbucket, and other Atlassian tools often become central...
For decades, buying high-powered CAD workstations was simply the cost of doing engineering. When design tools needed more computing power, IT bought more powerful machines. When engineers complained about slow performance, companies refreshed hardware. If a new hire...
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...
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...
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...
Engineering teams are becoming more distributed due to designers, analysts, contractors, suppliers, and product teams working across locations. Despite their distance, these teams must access the same data. This includes CAD files, simulation results, product...
Over the past six months, Google has expanded Gemini from a set of helpful AI features into a broader platform capability. It spans across content creation, reporting, search, collaboration, and administrative oversight. That shift means IT, security, compliance,...
For decades, physical CAD workstations have been the backbone of engineering teams. High-performance desktops packed with powerful CPUs and GPUs have long been considered essential for design, simulation, and product development. However, as engineering workflows...
Automotive manufacturers are increasingly prioritizing software-defined vehicles. As the software in these vehicles becomes more complex, so do the cybersecurity measures teams must follow. Automotive organizations must manage cyber risk across the entire product...
Product development is growing more complex. With this, it is more important than ever to know how to properly configure your workstation. Engineers must balance performance vs cost, local vs cloud-based workstations, and traditional CAD vs AI-augmented workflows. ...