Voice Assistants Are Taking Off In SA: “Hi Siri:”

"As smartphones become more efficient at machine learning, with more powerful hardware, chipsets and with increasingly sophisticated software, consumer adoption will increase," Deloitte said.

Voice Assistants Are Taking Off In SA: “Hi Siri:”

Whether to ask amusing questions, dial a person in your contact list, play music or for navigation purposes, voice assistants are increasingly the go-to solution for South Africans seeking a smartphone personal assistants.

Yesterday, we came across some interesting data about machine learning using applications on the phone is in its early stages of adoption in South Africa.

A Deloitte report titled “South-Africa-Mobile-Consumer-Survey-2017: The South African Cut” stated that a significant proportion of the survey respondents (48%) either do not use or do not know about machine-learning apps on their phones.

This report focuses on how consumers are using their mobile devices in South Africa.

It examines consumer consumption trends, usage, and purchasing behaviour and patterns. The survey, now in its second year, involves 1,000 respondents across age groups, genders, and socio-economic clusters.

Deloitte predicts that globally over 300 million smartphones, or more than a fifth of the units sold in 2017, will have on-board neural network machine-learning capability.

The report stated that for consumers aged 16-24 years, the most popular use of machine learning in South Africa is to play music.

It also stated that for consumers in the 25-34 and 35-45 year age brackets, the most widely use application for machine learning is for navigation and traffic updates.

“As smartphones become more efficient at machine learning, with more powerful hardware, chipsets and with increasingly sophisticated software, consumer adoption will increase,” Deloitte said.

It added that equally, as the volume of information that is now available through our phones increases and the amount of activity that we conduct through our smartphones rises, machine learning technology will find new use cases and will improve.

“We expect it to become a central feature of smartphone use.”

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