AI In Retail: Offering customers tailored products and services based on their preferences is a standard part of the online retail offering, so why not use similar techniques in the real world. There are many ways for environments to know more about the people within them – using facial recognition to recognise them; deriving data from a biometric readings or a smart card; interacting with their mobile phone or a wearable; or simply asking them questions on a touch screen.
AI In Training: In the training environment AI offers the possibility to use feedback data to continually enhance and tailor learning packages. By constantly asking questions, measuring performance and recording preferences, trainers are able to use AI to automatically assess the impact and effectiveness of every module and quickly move students from one course platform to another.
AI In the CEC: In the Customer Experience Environment we want to be able to both show different AI use cases and incorporate AI into our client experiences. Facial recognition during the welcoming process can allow robots to greet and talk with customers. Avatar’s built into demonstrations can use pre-defined criteria to deliver relevant credentials to clients. Analytics tools can be built into collaboration sessions to enable better outcomes and learning.