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Digital Engineering: The Next Generation of Software Engineering This is where digital engineering becomes Digital engineering is the systematic application of engineering principles across evolving digital paradigms—from As engineers, we need to establish digital engineering as a proper discipline with clear practice standards Digital engineering gives us the framework to get it right this time—if we choose to use it. spectrum of digital engineering disciplines.

Digital Transformation Over the last several decades companies have invested in paper-on-glass solutions as part of their digital progression. However, what only a few companies have done is change their processes to exploit the power of their digital To increase your return on investment from digital transformation you must change the way you currently However, using digital technology, it is possible to adapt work processes and incorporate the appropriate

What is a Digital Thread? To understand digital threads we first need to understand digital twins. Digital Thread The digital thread is used to refer to the lowest level design specification for a digital The digital thread is a critical capability in model-based systems engineering (MBSE) and the foundation for a digital twin. 4.0’ Shipyard What Are Digital Twins and Digital Threads?

To use AI responsibly and effectively, we need to engineer it—with discipline, oversight, and purpose-built engineering—to ensure they are safe, reliable, and aligned with business and societal goals. Here are some key concepts behind engineering AI systems: 1.  This means combining the best of digital engineering with new practices in data and cognitive science , systems and model engineering, adaptive regulation, AI safety, and ethical design.

Digital twins are virtual counterparts of physical entities that merge real-time data from sensors and considerations and risks commensurate with how digital twins are used either as a Digital Shadow, Decision Support, or for Autonomous Control: Digital Shadow: Digital twins provide real-time representations AI algorithms enhance the analysis of data within digital twins, but they also introduce the risk of Digital Twin Safety In light of the risks associated with digital twins, particularly when integrating

relatively slow adoption of digital transformation. information into digital form Digitalization – is the process of the technological-induced change brought about by digitization (ex. Digital Transformation – the total and overall societal effect of digitalization The impact of digital During that time we learned all about business modeling, re-engineering, and the like.

Digital Transformation – The Home Depot of Computing Walking into a building construction store like This experience is similar to companies who are deciding what to do with digital technologies. This is where many companies find themselves with respect to digital transformation. risk to companies wanting to survive digital disruption. Digital technologies offer possibilities that did not exist before.

"Some say we don't do engineering in Canada anymore, not real engineering, never mind AI engineering, As an engineering practice, it utilizes the engineering method embodied through design and prototyping Agentic AI : AI with agency—the ability to act in digital or physical worlds, including autonomous decision-making Having smart AI is one thing, but having AI make decisions on its own with agency in the real or digital Engineering Standards AI systems must be properly engineered, preferably by licensed professionals.

living machines but are increasingly replacing human workers with AI-powered systems, algorithms, and digital The Promise and Peril of Digital Agents and AI As we grapple with these organizational challenges, many Agentic AI and digital agents promise increased efficiency, 24/7 availability, and the ability to process However, we must ask ourselves: Are we simply replacing human cogs in the machine with digital ones? Approach AI and digital agents as tools to augment human wisdom, not replace it.

As artificial intelligence continues to advance, AI engineers face a practical challenge – how to build This isn't merely a theoretical concern but a practical engineering problem that requires thoughtful Standard engineering approaches are effective here. 2. Whether formal regulation emerges or not, the engineering challenge remains clear. Rather than relying solely on static evidence, successful AI engineering requires ongoing observation

Many of you may be familiar with the concept of digital twins in futuristic factories, but what if I of your business – a digital twin. The digital twin serves as your "golden thread" of compliance. It's a continuously updated digital record that tracks evidence, your commitments (regulations!) The digital twin empowers a proactive approach to compliance.

At its core, this is requirements engineering and system design work. Yet how many self-proclaimed "GRC engineers" can actually design systems and processes that deliver meaningful Simply calling yourself an engineer doesn't make you one. Other engineering disciplines have practice standards and licensing for good reason. It's time to establish formal practice standards for GRC engineering—education requirements, competency