AI VS ML : WHAT ’ S THE DIFFERENCE ?
BELL INC ( CANADA )
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“The paradigm is shifting from detecting issues to looking at the bigger picture and understanding why anomalies are happening ”
— George Iskenderian , Director , Big Data & AI Bell Inc ( Canada )
“ When we integrate the data folks with the domain teams , they start thinking about the art of the possible ,” he says . “ So I need to understand my network , how my traffic patterns are . And the data scientist is saying , ‘ I can give you that , but actually I can predict the traffic pattern for you a week in advance and I can introduce seasonality so that when you ’ re looking at the traffic pattern you ’ re not looking at that based on historical data . You ’ re actually predicting the future .’”
“ So that ’ s where the value of the domain expertise and data and AI expertise come together . When we say we build with use cases in mind , we do have a strategic view as well . Certain things we do such as anticipating problems or needs might not be very high priority today but they will be in a year or two .”
AI VS ML : WHAT ’ S THE DIFFERENCE ?
AI and ML are often conflated in technology circles , with many people describing machine learning functions as AI , and others pointedly
FEBRUARY 2021