Proactive, collaborative personalised healthcare. Standards help make data retrievable and actionable. Predictive decision support for interventions in patient healthcare modelling, leveraging complex human bio-marker data patterns.
The ability to connect and share information between different legal data sharing entities. For example, to authorise global resources to access your personal private data. Analysing structured and unstructured disparate data sets, facilitates contractual work flows to be automated. Intuitive insights can be produced to manage risk profiles.
AGI, also called general AI or strong AI, describes AI that can learn, think and perform a wide range of actions similarly to humans. Though still a work in progress, the groundwork of artificial general intelligence is being built from technologies such as supercomputers, quantum hardware and generative AI models. Incorporaing immutability, security and collaboration of personal data. Immediacy of human sensitive data, facilitates new business models.
PDF Reports such as clinical documents or vendor contracts can be analysed and coded, mitigating timely human analysis. Such documents can be analysed against international standards and respective coding systems. Such systems can be scaled using unstructured data storage systems.
Self-aware AI describes artificial intelligence that possesses self-awareness. Referred to as the AI point of singularity, self-aware AI is the stage beyond theory of mind and is one of the ultimate goals in AI development. It’s thought that once self-aware AI is reached, AI machines will be beyond our control, because they’ll not only be able to sense the feelings of others, but will have a sense of self as well.
Limited memory AI can store past data and use that data to make predictions. This means it actively builds its own limited, short-term knowledge base and performs tasks based on that knowledge. The core of limited memory AI is deep learning, which imitates the function of neurons in the human brain. This allows a machine to absorb data from experiences and “learn” from them, helping it improve the accuracy of its actions over time.