Data layer informs the AI engine to make the right decision at a particular point of time. Getting data in shape and data accuracy are a significant issue. FS clients have a large amount of data stored. Data normalisation and getting it ready for an informed decision making process is the key. AI and cognitive analytics rely on data.
The interesting point is around injecting data to impact and manipulate the decision. Does it open a new layer for data security and protection? When we draft data strategy with our clients, this point requires special thinking. How we protect our decision with the right data set.
Machine-learning and algorithmic, bias is becoming a significant issue in the AI community