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. ...
Intro to AI Tools and Data Protection Hello and welcome to this SPK and Associates vlog. My name is Michael Roberts. I'm Vice President of Sales and Marketing here at SPK and Associates. Artificial intelligence is quickly becoming embedded in engineering tools...
Organizations across every industry are racing to adopt artificial intelligence. However, many struggle with the infrastructure required to support it. Legacy systems, fragmented data environments, and limited scalability can make it difficult to deploy AI solutions...
While modernizing workflows is a primary goal for many organizations, there is one truth that must be considered. Innovation can only move as fast as security allows. Organizations are modernizing infrastructure, adopting cloud-native applications, and integrating AI...