BELL INC ( CANADA )
20 suggesting that AI – in its truest sense – is not really available yet . Iskenderian is happy to explain his view . “ I ’ ll give it an analogy : if artificial intelligence is mathematic , then machine learning would be algebra . So machine learning is a discipline within the bigger umbrella of artificial intelligence . And then deep learning would be linear algebra .
“ We realize that AI and ML are of paramount importance and it ’ s going to play a significant role going forwards . And we have various initiatives to make sure that we focus specifically on AI / ML expertise development , but also how we create value using AI / ML , so it ’ s very important to the organization . We talked about network operations and performance , failure detection : all those concepts can be solved with AI / ML .
“ I ’ ll give you an example : spam filtering . When millions and millions of emails are going through some servers , it would be cost prohibitive for any decision logic to look at that and say ‘ this is spam , this is not spam ’. Machine
FEBRUARY 2021