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...
Mike Solinap
Managing Cybersecurity Risk Across the Software Lifecycle Under UNECE R155
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...
Configuring a Workstation for Creo in 2026
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. ...
AI Governance Boards Explained: How Smart Companies Approve Tools Like Copilot, Rovo, and Duo
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...
Be AI Ready: Microsoft Azure Accelerates Innovation
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...
Secure From Code to Cloud
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...
Want to Use AI in Engineering? Why Your AI Governance Board Has the Final Say
While nearly every engineering organization is using artificial intelligence in some form, there are some hoops teams must jump through before integrating AI. Inside most large enterprises, the authority sits with an AI governance board. These boards exist to...
Your Data Isn’t Ready for AI (Yet)
Whether it is a copilot within a productivity tool or an agent embedded in an engineering platform, AI seems to be everywhere. This has led many organizations to rush AI adoption for their own business. However, many leaders are discovering that despite major...
A ModelOps Playbook for Real Business Impact
As organizations rely more heavily on data-driven decision-making, machine learning models have become business-critical assets. These models influence everything from pricing and forecasting to customer experience and risk management. But as AI adoption grows, so...
Unlock the AI You Already Own
New artificial intelligence tools seem to be emerging every day, but for many organizations, this doesn’t always bring new opportunities. Instead, businesses should strive to unlock the intelligence already embedded in the systems they use every day. Your tools...
Five Reasons Hybrid Work is More Effective with Virtual Desktops
Hybrid work has become the operating model for many modern organizations. Employees appreciate the flexibility, while leaders expect productivity. When it comes to IT teams, delivering productivity in a flexible environment without increasing risk or cost can be...
Secure AI for Everyone
Artificial intelligence has rapidly become a cornerstone of modern work. However, not all AI tools are created equal. When employees use unsanctioned AI chatbots, they can inadvertently expose sensitive company data, creating security and compliance risks. To address...












