Well, there are two major reasons I have constantly noted:
i) to avoid the negative stereotypes surrounding the terms (AI mostly)
ii) to distance itself from other competitors and instead use terms that are easier to understand e.g. opting to use machine learning for features like improved autocorrecting, personalized volume and smart track.
Well, there are two major reasons I have constantly noted:
i) to avoid the negative stereotypes surrounding the terms (AI mostly)
ii) to distance itself from other competitors and instead use terms that are easier to understand e.g. opting to use machine learning for features like improved autocorrecting, personalized volume and smart track.