Originally published on Cartt.ca
Author: Greg O’Brien
TORONTO – “Machine learning is at an exponential tipping point – and I hate talking like that, and never talk like that, but just this once I will – because this time it’s true,” says Deloitte’s Duncan Stewart.
The director of TMT Research for Deloitte Canada said in an interview Monday prior to the release of the company’s 17th annual Technology, Media and Telecommunications (TMT) Predictions report today that the data shows machine learning tests, pilot projects and deployments – and all that can bring – will double next year and then double again by 2020.
Advancements in machine learning technology include data science automation and a reduced need for training data as well as new chips in both data centres and mobile devices, says the report. The advancements will help establish the foundation, which will over the near term make machine learning mainstream across industries where organizations have limited talent, infrastructure and data to train models.
So what does that mean for telecom operators? So much new traffic that networks will be overwhelmed? No, says Stewart. Just the opposite. The benefits of the artificial intelligence will bring down costs, push technology further to the edge and enable ongoing growth. For example, “many of the chips for data centres that are coming out – next generation chips – use much less, like 90-99% less – power than the old generation,” he explained.
Note: Duncan Stewart will provide a keynote speech on Deloitte’s 2018 TMT Predictions at STAC 2018. Visit stacouncil.ca/stac-2018/ for conference details and registration.