headline verdana boldtmt predictions 2018 s/2018fall... · 2018-10-03 · deloitte llp, an ontario...

Headline Verdana BoldTMT Predictions 2018The future is here

September 2018

Join the #DeloittePredicts conversation© Deloitte LLP and affiliated entities. 2

TMT Predictions was first published in 2001


TMT Predictions: report card

Rating Prediction

Prints charming: biometric security reaches the billions

DDoS attacks enter the terabit era

Safety first: the road to self-driving starts with a stop

5G: a revolution in evolution, even in 2017

Brains at the edge: machine learning goes mobile

Legend

Didn’t come true as we predicted

Came true, but less than we predicted. At least so far

Came true exactly as much as we predicted


TMT Predictions: report card

Rating Prediction

The great indoors: the final frontier for digital navigation

TV advertising in the US: flat is the new up

Have we reached peak tablet?

Vinyl: the billion-dollar nostalgic niche

IT-as-a-Service: the half-trillion-dollar ‘niche’

Legend

Didn’t come true as we predicted

Came true, but less than we predicted. At least so far

Came true exactly as much as we predicted

No score possible


0%

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2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Total prediction accuracy


$479

$160

$110

$180

$-

$100

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$1,000

2017

Everything elseTVPCSmartphone81%

Global 2017 Hardware Sales by Category


TMT Predictions 2018The future is here


Augmented reality: on the cusp of realityDeloitte Global predicts that in 2018


©Ikea


The future of the smartphone: the era of invisible innovationDeloitte Global predicts that by the end of 2023


$378

$331 $310 $305 $306

$328 $350

$0

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2012 2013 2014 2015 2016 2017A 2023F

Evolution of the smartphone’s average selling price, 2012-17, and 2023

Source: Deloitte TMT Predictions 2018


Hitting the accelerator: the next generation of machine-learning chipsDeloitte Global predicts that


Whenever there is a revolution in machine learning chips…

…there is ALWAYS a revolution in machine learning.


Deep learning inference performance per watt

Source: ARK Investment Management LLC

Note: FP16 inference performance for NVIDIA Volta,

INT8 for other chips.


Silicon alternatives for DNNs (Deep Neural Networks)


Annual minimum sales of ML chips in global data centres (units)


1. Automate tasks

2. Data reduction

3. Better chips

4. Model interpretability

5. Local machine learning

The five vectors of progress on machine learning


A 288 µW Programmable Deep-Learning Processor with 270KB On-Chip Weight Storage

Using Non-Uniform Memory Hierarchy for Mobile Intelligence

Suyoung Bang1, Jingcheng Wang1, Aiun Li1,Cao Gao1, Yejoong King1,2, Qing Dong1,Yen-Po Chen1, Lara Fick1, Xun Sun1,Ron Dreslinski1, Trevor Mudge1,Hun Seok Kim1, David Blaauw1, Dennis Sylvester1

1University of Michigan, Ann Arbor, MI2Cubeworks, Ann Arbor, MI

14.7: A 288 µW Programmable Deep-Learning Processor with 270KB On-Chip Weight Using Non-Uniform Memory Hierarchy for Mobile Intelligence

© 2017 IEEEInternational Solid-State Circuits Conference


Machine learning: things are getting intenseDeloitte Global predicts that in 2018


Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions,Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, RJ Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu(Submitted on 16 Dec 2017 (v1), last revised 16 Feb 2018 (this version, v2))


Which, if any, is your preferred device for each of the following activities?

Canada Total Male Female 18-24 25-34 35-44 45-54 55-64 65-75

Watch live TV TV 67% TV 67% TV 67% TV 59% TV 63% TV 68% TV 72% TV 71% TV 68%

Watch TV programs via catch-up services TV 39% TV 39% TV 39% TV 37% TV 40% TV 44% TV 42% TV 38% TV 27%

Stream films and/or TV series TV 40% TV 38% TV 41% PC 39% TV 47% TV 45% TV 39% TV 37% TV 31%

Watch short videos PC 48% PC 52% PC 44% PC 41% PC 44% PC 42% PC 52% PC 52% PC 56%

Online search PC 65% PC 71% PC 60% PC 49% PC 59% PC 60% PC 71% PC 73% PC 76%

Browse shopping websites PC 63% PC 67% PC 60% PC 58% PC 62% PC 60% PC 66% PC 69% PC 64%

Make online purchases PC 67% PC 71% PC 64% PC 61% PC 66% PC 66% PC 73% PC 71% PC 64%

Check bank balances PC 54% PC 60% PC 48% Phone 56% PC 46% PC 51% PC 56% PC 67% PC 65%

Read the news PC 42% PC 47% PC 37% Phone 35% PC/Phone 37% PC 41% PC 48% PC 51% PC 40%

Video calls PC 29% PC 30% PC 27% PC/Phone 34% Phone 32% Phone 25% PC 27% PC 33% PC 27%

Check social networks PC 37% PC 42% Phone 41% Phone 67% Phone 54% Phone 45% PC 47% PC 46% PC 46%

Play games PC 26% PC 29% Phone 27% Phone 40% Phone 29% Phone 26% PC 29% PC 33% PC 37%

Record videos Phone 47% Phone 44% Phone 50% Phone 69% Phone 63% Phone 57% Phone 42% Phone 25% Phone 18%

Take photos Phone 74% Phone 72% Phone 75% Phone 82% Phone 82% Phone 79% Phone 76% Phone 60% Phone 56%

Voice calls using the Internet Phone 28% Phone 28% Phone 29% Phone 46% Phone 41% Phone 34% Phone 23% PC/Phone 14% Tablet 13%

PC (desktop or laptop) (70.5/135) 52.5%

Phone (37.5/135) 27.8%

TV (26/135) 21.7%

Tablet (1/135) 0.7%

DS3

DS3 There is a black line on the right and bottom of this cell. Can we remove it?Duncan Stewart, 1/9/2018


Data mobile-only population in selected countries, 2017


Data mobile-only population for highest and lowest income groups, 2017


Data mobile-only population for oldest and youngest, 2017


TMT Predictions: tailored events

Duncan Stewart can deliver a presentation for your office or industry. Contact him to find out more.

• Email Duncan: [email protected]• Follow him on Twitter: @dunstewart• Connect on LinkedIn• Connect on Facebook• Instagram -- #whynot?

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headline verdana boldtmt predictions 2018 s/2018fall... · 2018-10-03 · deloitte llp, an ontario...

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