August 2026
Intermediate
368 pages
8h 6m
English
Content preview from AI Powered Digital Twins
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Part 2 Infrastructure and Security Requirements
From Capability to Reliability
Part 1 explored what AI-powered digital twins can do; how agents reason, act, and learn to optimize operations and automate workflows; and how to map work to desired outcomes. Part 2 addresses what AI-powered digital twins require: the infrastructure, security architecture, energy systems, data strategies, and governance frameworks necessary to move from experimental prototypes to production-grade systems operating at enterprise scale.
Digital twinning is not new as we’ve been digitally modeling and simulating reality for decades, for various reasons, and to varying degrees of success. What’s evolving is an intelligence layer at the input, output, and operations levels. This evolution amplifies both capability and risk. Computational errors translate directly into operational harm. These stakes demand a fundamental shift in how we architect, secure, and govern these systems. The requirements in Part 2 determine whether or not AI-powered digital twins mature into systems that are human-centered, intelligent, and aligned with operational reality.
The Standard of Care Imperative
Like architecture, medicine, and civil engineering, AI-powered digital twins must meet a standard of care to prevent harm. When buildings collapse, we examine whether engineers followed established practices, conducted proper testing, and maintained accountability. The same principle applies to digital infrastructure. ...
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