Digital Engineering as Strategy Organizations in high-risk industries are under pressure to adopt AI. AI can help keep those commitments when it is engineered to do so. Digital engineering gives AI the structure it needs to help answer these questions as you operate. AI, working from knowledge models and within engineered guardrails, turns that into prediction, planning Digital engineering is how high-risk organizations use AI to design, build, operate and regulate, so

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

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.

The State of Digital Transformation It is easy to be sympathetic with those developing digital technologies 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 Depot of Transformation Digital Transformation – The Home Depot of Computing Walking into a building 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.

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?

I call it the Enterprise Digital Cognition Map. Digital Capability Each level of the map pairs with a digital capability: Digitize reality at the level Each digital capability must support both what is and what should be at its level. Digitizing reality requires measurement and classification. What Enterprise Digital Systems Need to Support Most enterprise digital systems were built to support

Digital twins are virtual counterparts of physical entities that merge real-time data from sensors and Digital Twin Safety Alongside benefits of Digital Twins, the integration of Artificial Intelligence ( AI) introduces additional 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 Digital Twin Safety In light of the risks associated with digital twins, particularly when integrating

With the increases in the number and severity of security breaches, digital factories could benefit from Process Safety is a combination of engineering and management skills focused on preventing catastrophic

The discipline we are missing has a name: engineered regulation. But there is another form of regulation, an engineering meaning. In engineering, that is not how it works. adoption — applying digital engineering and engineered regulation to build justified confidence that Assurance is not inspected in after the fact; it is engineered in.

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.

What digital engineering supplies In practice that means a system model of the management system — objectives Those that treat it as an engineering exercise will arrive with something that actually regulates the Reach out to us at Lean Compliance to learn how digital engineering supports the digitalization strategies Through E4P (Engineers for the Profession) and OSPE, he is working to define digital engineering as a digital engineers.