Prescriptive analytics is able to accommodate new data that is used to re-predict and re-prescribe, automatically improving prediction accuracy which leads to better decision options.
By ingesting hybrid data, a combination of structured (eg. numbers, categories) and unstructured data (videos, images, sounds, texts), as well as business rules, we can better predict what lies ahead. Highlight the best way to take advantage of this predicted future without compromising other priorities is another critical benefit.
We believe modelling should also be connected to a world outside of stored data and able to capture and record human observation. At Houston We Have, our methodology uses a bayesian reasoning framework regulated by Subjective Logic calculus – a rigorous form of calculus designed to capture human insight and yet also mitigate human bias. And in a world of fear and uncertainty, risk mitigation brings certainty and Houston We Have Human-Centred AI brings certainty without bias.