Google’s Jarvis, for example, offers an extremely accurate ability to tailor the answers it provides. As such, Google Jarvis incorporates intelligentand machine learning capabilities, where the software can “learn” the more it is utilised. According to current statistics, 72% of customers expect organizations to know them and what they expect from them, and Jarvis is planning to deliver this goal on a bigger scale.
Think about an AI that does not only offer anonymous solutions but also takes into consideration certain likes/dislikes and remembers what you usually do, proposes options that would help to do things quicker, and offers something you might need soon. This level of personalization would enable to align itself with all the various expectations that a user might harbour in regard to real-time AI and better product/service use and utility.