Digital Twin
Definition
A virtual representation of a physical asset, process, or system that is continuously updated with real-time data. Digital twins are increasingly recognised as valuable intangible assets that enhance operational productivity, enable predictive maintenance, and accelerate product development.
Complementary Terms
Concepts that frequently appear alongside Digital Twin in practice.
A virtual representation of a physical asset, process, or entire business operation that uses real-time data and simulation to mirror its real-world counterpart. Digital twins enable predictive maintenance, scenario modelling, and operational optimisation.
The convergence of digital technologies with healthcare, encompassing telemedicine, electronic health records, wearable devices, AI-assisted diagnostics, digital therapeutics, and health data analytics. Digital health companies create significant intangible asset value through proprietary algorithms, patient data assets, regulatory approvals, and clinical evidence — all of which require specialist valuation approaches.
The ecosystem of business models, partnerships, and revenue streams enabled by application programming interfaces that allow software systems to communicate and share data. APIs enable companies to monetise their data and functionality, create platform ecosystems, and embed services into third-party applications.
An economic system in which growth and value creation are driven primarily by the production, distribution, and application of knowledge and information rather than physical goods. In the knowledge economy, intangible assets — including human capital, software, data, and intellectual property — constitute the majority of enterprise and national wealth.
The value created through social relationships, networks, and trust within and between organisations. Social capital facilitates knowledge transfer, collaboration, and collective action, and is increasingly recognised as a measurable intangible asset that influences innovation, productivity, and organisational resilience.
An increase in the amount of capital available per worker, which typically raises labour productivity. In modern economies, capital deepening increasingly involves investment in intangible assets — software, data infrastructure, organisational capital, and human capital — rather than traditional machinery and equipment.
An autonomous software system that uses artificial intelligence to perceive its environment, make decisions, and take actions to achieve specified goals with minimal human intervention. AI agents are increasingly deployed in customer service, workflow automation, and decision support, and represent a growing category of operational intangible asset.
A unique cryptographic token recorded on a blockchain that represents ownership of a specific digital or physical asset, such as artwork, music, collectibles, or virtual real estate. Unlike fungible tokens (such as cryptocurrencies), each NFT is distinct and cannot be exchanged on a one-for-one basis with another.
Further Reading
AI and Total Factor Productivity: Macro-Economic Implications
Total factor productivity is the ultimate measure of technology's economic contribution, yet AI's impact on TFP remains undetectable in aggregate data. This article examines why, what the macro-economic models predict, and what it means for long-term investment strategy.
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