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.

A category of artificial intelligence systems capable of creating new content — including text, images, code, music, and video — based on patterns learned from training data. Generative AI is transforming content production, product design, and software development, raising novel questions about intellectual property ownership and the valuation of AI-generated outputs.

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.

Proprietary datasets, analytics capabilities, and data infrastructure that provide competitive advantage. Data assets include customer behavioural data, market intelligence, training datasets for AI models, and proprietary databases that improve decision-making or product quality.