Executable Digital Twins (xDTs)

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This podcast explores the emergence of Executable Digital Twins (xDTs) as a streamlined, practical evolution of traditional, high-fidelity simulation models.

In contrast to complex engineering assets that require specialist intervention, xDTs are lightweight, portable, and containerised units designed for immediate operational use via simple interfaces.

The podcast highlights a shift towards value-driven deployment, where these models are integrated into daily workflows through low-code applications to inform real-time decision-making.

By 2026, technological advancements in model reduction and edge computing are expected to make these tools essential for maintaining industrial efficiency and achieving measurable returns on investment.

The podcast argues that the success of digital twins depends on democratising access so that non-experts can leverage sophisticated predictive insights.

Resources:

• 1 Hour Guide
• AI Coach
• Twinlabs