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179 results found for "Digital Engineering"
- Why We Need More Engineers In Compliance
of the engineering method in compliance. By highlighting the potential of the engineering method and its benefits, we hope to encourage more engineers The Scientific and Engineering method The scientific method and the engineering method are two distinct What is the Engineering Method? Why the Engineering Method is Important to Compliance Here are some of the benefits of the engineering
- The Security System Cybersecurity Never Built
A cybersecurity control operates on a digital system being actively probed by adaptive adversaries, embedded This is engineering work. Engineering work belongs to engineers. The Professional Digital Engineering discussion underway in Canada and elsewhere is not separate from recognition that other engineered protective systems have received. Engineering as a regulated discipline in Canada.
- Compliance 2.0 System Requirements
Raimund Laqua (Ray) is a Professional Engineer (P.Eng.) and Project Management Professional (PMP) with Ray serves on ISO's ESG working group, OSPE's AI in Engineering committee, and as AI Chair for Engineers for the Profession (E4P), where he advocates for federal licensing of digital engineering disciplines
- Why AI Isn't Ready for Commoditization
This is where engineering truly comes into its own. As a Professional Digital/AI Engineering Advocate, Raimund champions proper licensure across the entire spectrum of digital engineering disciplines. group on AI in Engineering, where he helps shape the future of professional engineering practice in the digital domain.
- Why Your IT Playbook Won't Work for AI Systems
What looks like "assembling" pre-built AI components actually requires substantial custom engineering As a Professional Digital/AI Engineering Advocate, Raimund champions proper licensure across the entire spectrum of digital engineering disciplines. group on AI in Engineering, where he helps shape the future of professional engineering practice in the digital domain.
- Managing Requisite Context for AI Workflows
requisite context Requisite Context The AI industry calls the technical side of this problem context engineering Raimund Laqua, P.Eng., PMP is the founder of Lean Compliance and chairs the Digital Engineering Committee for Engineers for the Profession (E4P).
- Where Does the Source of Truth Live When AI Agents Do the Work?
Every automated step was deliberately engineered into a known path. The system of record isn't part of that path unless someone engineered it to be. Nobody has engineered it to keep yours. Can Agents Follow Governance Policy? If the constraint was well-engineered, the behaviour looks like compliance. , serves on OSPE's AI in Engineering committee, and advocates for federal Digital Engineering licensing
- When Automation Hides Waste
Applying Lean to Digital Waste The digital transformation has fundamentally changed how work gets done The Eight Digital Wastes To address digital waste, we must first identify it. Overproduction → Over-Engineering/Feature Bloat Building more features than users need or want. Apply LEAN to Reduce Digital Waste Understanding digital waste is only the first step. digital processes in action.
- The Great Software Reset
Engineering Discipline in a Post-Code World I’m a computer engineer by training. That is an engineering question, not a programming question. the AI Committee for Engineers for the Profession, where we’re advocating for professional engineering standards in digital disciplines across Canada. for Engineers for the Profession (E4P), advocating for professional engineering standards in digital
- Fighting the AI Dragon of Uncertainty
After all, we can reduce AI to a basic Turing machine, digital ones and zeros. It’s time for Engineers bound not by rings of power, but by a higher calling to rise up and take their It’s time for Professional AI Engineers, more than technology experts, but engineers who are also courageous Engineers who are willing to fight the AI Dragon of Uncertainty.
- Why I Conduct Team Meetings on Mondays
As a young engineer in the 1990s, I took on the role of IT Manager, my first management position. We were experiencing the beginning of the digital era and things were happening. As a business we too were shifting from analog to digital circuits. On the design and engineering front, we were adopting advanced Computer Aided Design (CAD) technologies
- Forward Assurance for AI Systems
It is engineered in, by design. None of it establishes that the work itself was done to engineering and regulatory standards. Engineering is how the gap closes We provide consulting services to help you establish engineering practice Three disciplines, working together → Engineering Methodology — how AI systems are engineered for the Organizations pursuing licensed engineering practice or a Certificate of Authorization.












