Computer Vision

A branch of artificial intelligence concerned with enabling computers to understand, interpret, and generate human language. NLP powers applications such as chatbots, sentiment analysis, document classification, and automated contract review.

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.

The branch of applied ethics concerned with the moral implications of designing, deploying, and using artificial intelligence systems. AI ethics addresses issues including fairness, transparency, privacy, accountability, and the societal impact of automation.

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.

A technology service that authorises and processes electronic payment transactions between merchants and acquiring banks or payment processors. Payment gateways encrypt sensitive payment data, route transactions to the appropriate card networks, and return authorisation responses in real time.

Intangible assets that are identified and recorded on the balance sheet for the first time as part of a business combination, despite having been unrecognised on the acquired company's own books. These assets — such as customer relationships, order backlogs, and proprietary technology — often represent a substantial portion of the total purchase price.

A distributed computing paradigm that processes data near the source of generation rather than in a centralised data centre, reducing latency, bandwidth costs, and data privacy risks. Edge computing is essential for real-time AI applications such as autonomous vehicles, industrial IoT, and point-of-sale analytics.

A computing architecture inspired by biological neural systems, consisting of interconnected layers of nodes that process information through weighted connections. Neural networks form the backbone of deep learning and are used in applications ranging from image recognition to financial modelling.

How do you assess whether a company is ready to implement AI?

AI readiness is assessed across five dimensions: data maturity, technical infrastructure, talent and skills, organisational culture, and strategic clarity on use cases with measurable business outcomes.

What are the key intangible assets in e-commerce businesses?

E-commerce intangible assets include customer relationships and databases, brand and domain names, proprietary technology platforms, supplier relationships, and user-generated content and reviews.

How do data assets compound in value over time?

Data assets gain value through accumulation (more data improves accuracy), combination (linking datasets creates new insights), and application (training AI models on historical data generates competitive advantages that widen over time).