learning is very well suited to this task because the algorithm learns based on behaviours , based on patterns , what constitutes spam . Anomaly detection in general , silent failure detections … we are developing an advanced expertise in anomaly detection because lots of our use cases are about network availability and anomalies .
“ Historically , when equipment misbehaved or failed , an alarm was
“Network operations and performance , failure detection : all those concepts can be solved with AI / ML ”
— George Iskenderian , Director , Big Data & AI Bell Inc ( Canada )
George Iskenderian : tactics for setting up an AI team
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Recruit right
When it comes to people , recruiting the right people was crucial to our success . I realized I would start with a very small team , and the quality of that team would determine our success .
Focus on expertise
We don ’ t want to be mediocre . We want to be the best at what we do , and we don ’ t want to dilute our knowledge . We don ’ t want someone to be doing something else , but then they are doing a bit of data or AI on the side .
Be flexible
My head count profile will change from needing more engineers and fewer data scientists to the reverse . We don ’ t have pigeonholing . We don ’ t have dedicated testers , project managers , analysts . Everyone ’ s either a data engineer or a data scientist . That ’ s their core skill but they can occupy various roles , expand and grow professionally .
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