Use artificial intelligence (AI) techniques to structure the data

Many organizations have done a pretty good job of analysing and interrogating structured data, but if you dump some contracts and medical literature and relevant law material together, that’s unstructured, and the ability to analyse & rationalize that data is one of the benefits that AI can bring to the table

AI can enhance complex decision-making processes, which is why it is a catalyst for transformation in every industry. It allows onerous and time-consuming tasks to be completed more efficiently and effectively and can give management teams a depth of insight that was never available before.

 AI can analyse behaviour and activities in real time

Machine learning – a form of AI where computer algorithms improve over time through their experience of using data – plays an increasingly prominent role in enterprise risk management AI can be used to create sophisticated tools to monitor and analyse behaviour and activities in real time. Since these systems can adapt to changing risk environments, they continually enhance the organization’s monitoring capabilities in areas such as regulatory compliance and corporate governance. They can also evolve from early warning systems into early learning systems that prevent threats materializing for real.

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology.

Contrasts on human and artificial intelligence

Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. Research on foundations of human decision making and the complexity of the human cognitive system, contrasts on  human and artificial intelligence, computational intelligence, present pragmatic systems, and discuss future trends as part of the training program for knowledge and key research gaps in the rapidly developing field of intelligent decision support.

At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. Research on foundations of human decision making and the complexity of the human cognitive system, contrasts on human and artificial intelligence, computational intelligence, present pragmatic systems, and discuss future trends as part of the training program for knowledge and key research gaps in the rapidly developing field of intelligent decision support.