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Kerry Boys
Head of Strategic Operations
Stuart Oliver
Director, Business Development

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Pioneers in an
ever-evolving digital
world.

#apdbestofthenext

• Best of the Next – Digital Trends
Inês Almeida - APD Chief Transformation Officer
Scott Player - CEO APD Australia
• Digital ID
Tung Nguyen, Strategic Partnerships, Australia Post
• Break-out discussions and networking
AGENDA

Roger Sharp
Chairman - APD
CHAIRMAN PREFACE

Keynote

Keynote

SCOTT & INÊS
Inês Almeida
Chief Transformation Officer
Scott Player
CEO - APD

BEST OF THE NEXT.
Inês Almeida & Scott Player
MAY 2018

Content. 1. Quick fire: 2020 SXSW Trends (Inês)
2. Vertical AI as Growth Strategy (Inês)
3. 5G, Internet of Things and greater
connectivity (Scott)
4. Identity, Privacy, Advertising and the
Blockchain (Inês)
01
02
03
04

The trends.

Consumer
Human-centred
Design
Technology
2020 MacroTrends.
Source: SXSW 2018

Global Consumer Trends
WGSN & Facebook

Consumer trend:
When a brand gets things exactly right at the
right time.
CarlaBuzasi,WGSN

Global consumer drivers 2020.
New majorities are
the old minorities
5G force
Crowd-based
capitalism
Demographic
blurred lines
A new universal
language

New majorities are the old
minorities.
Muslim Millennials to be a quarter of the world’s
population (2.8 billion) by 2050.
Spending power:
• 300bn on travel by 2026
• 327bn on apparel 2019
• 213bn on beauty by 2021
Source: WGSN trends

Geo & demographic blurred
lines.
• 360M take part in cross-border e-commerce.
• Traditional gender roles don’t apply.
• 15% increase in gender identity blur year-on-
year.
• The rise of omnicultural identities.
• The age you become old is increasing.
• Sex doesn’t sell. Time’s up for portraying
women as sex symbols.
Source: Facebook trends

5G force.
By 2020, 50% of all online sales globally
($250bn ) will come from mobile commerce.
Over 85% of customer interactions will be held
with no human interference.
Source: WGSN & Facebook trends

Crowd-based capitalism.
$335bn estimated global value of the sharing
economy by 2025.
Long-term effects on government regulation,
civic planning and the future of work.
Source: WGSN trends

A new universal language.
Time on Instagram increased +80% year-on-
year.
People gaze 5x more at video than static
content.
1 in 5 facebook videos is a live broadcast. Live
videos generate 10x interactions and comments.
Source: Facebook trends

New consumer tribes 2020.
Imperfectionists & localtivists
Source: WGSN
Augmentalists

Imperfectionists & localtivists.
• Buying and living locally. Local activism, not
clicktivism. Belief in community and
sustainability.
• Distrust of large institutions. No interest or
enthusiasm for trends.
• Value context over content. They are over
brand stories and want authentic action from
businesses.
• Wealth care – They are not about discounts;
they are looking for brands that stand for
something.
• Crypto-currency adopters.
Source: WGSN

Augmentalists.
• Celebrate technological progress.
• Part of the reinvented, augmented workforce.
• Artificial intelligence + Human intelligence.
Source: WGSN

Human-Centred Design Trends
Fjord

Design outside the lines.
“There’s a new obligation—and
a new opportunity—for
companies to engage with
people differently.”
Tanarra Schneider, Fjord.
World’s 1st affordable 3D printed home may solve
homelessness.

Design outside the lines.
Source: Fjord
Physical fights
back
Computers
have eyes
Slaves to the
algorithm
A machine’s search
for meaning
In transparency
we trust
The ethics
economy

Design outside the lines.
Tech is fading into
the background.
Amplify the
human potential in
the space.
Source: Fjord
Physical fights
back
Computers
have eyes
Slaves to the
algorithm
A machine’s search
for meaning
In transparency
we trust
The ethics
economy

Design outside the lines.
Are you violating
someone’s privacy?
Rethink the design
context: ethics and
experience.
Source: Fjord
Physical fights
back
Computers
have eyes
Slaves to the
algorithm
A machine’s search
for meaning
In transparency
we trust
The ethics
economy

Design outside the lines.
From product
companies to data
companies.
Who watches the
watchmen? You
are accountable.
Source: Fjord
Physical fights
back
Computers
have eyes
Slaves to the
algorithm
A machine’s search
for meaning
In transparency
we trust
The ethics
economy

Design outside the lines.
We are using tech
to replace instead
of amplify what we
do.
Augmented
intelligence over
Artificial
Intelligence.
Source: Fjord
Physical fights
back
Computers
have eyes
Slaves to the
algorithm
A machine’s search
for meaning
In transparency
we trust
The ethics
economy

Design outside the lines.
Blockchain has
tremendous
potential.
Act now –
understand it.
Focus on trust.
Consider the
implications.
Source: Fjord
Physical fights
back
Computers
have eyes
Slaves to the
algorithm
A machine’s search
for meaning
In transparency
we trust
The ethics
economy

Design outside the lines.
Companies are
expressing ethics.
Is it just
marketing?
Source: Fjord
Physical fights
back
Computers
have eyes
Slaves to the
algorithm
A machine’s search
for meaning
In transparency
we trust
The ethics
economy

Key Technology Trends
Future Today Institute

Digital assistants
become
ubiquitous
Machine reading
comprehension
and translation
Voiceprint Wired brainsFaceprint
Source: Amy Webb
No interfaces, just human-like interactions.
Beginning of
the end of
smartphones

Digital assistants
become
ubiquitous
Machine reading
comprehension
and translation
Voiceprint Faceprint
Voice, vision and
brain to computer
interfaces will
empower humans
to interact with
machines in their
own terms.
Wired brains
No interfaces, just human-like interactions.
Source: Amy Webb
Beginning of
the end of
smartphones

Digital assistants
become
ubiquitous
Machine reading
comprehension
and translation
Voiceprint Faceprint
Cortana, Google,
Siri, Alexa and
Bixby ever-present.
Wired brains
No interfaces, just human-like interactions.
Beginning of
the end of
smartphones

Beginning of
the end of
smartphones
Digital assistants
become
ubiquitous
Machine reading
comprehension
and translation
Voiceprint Faceprint
Lays the groundwork for
conversations with
machines.
Wired brains
No interfaces, just human-like interactions.

Beginning of
the end of
smartphones
Digital assistants
become
ubiquitous
Machine reading
comprehension
and translation
Voiceprint Faceprint
Your unique Voiceprint
divulges your health, age,
emotional state and:
• the size of the room
you’re in,
• how many people are in
the room.
Wired brains
No interfaces, just human-like interactions.
Source: Amy Webb

No interfaces, just human-like interactions.
Beginning of
the end of
smartphones
Digital assistants
become
ubiquitous
Machine reading
comprehension
and translation
Voiceprint Faceprint
Face++, the world’s largest face-
recognition tech platform, used
by more than 300k developers in
150 countries to identify faces.
Sentiment detection, racial
profiling and fraud detection are
part of the data sets.
Wired brains

Beginning of
the end of
smartphones
Digital assistants
become
ubiquitous
Machine reading
comprehension
and translation
Voiceprint Faceprint Wired brains
No interfaces, just human-like interactions.
Productisation of brain to
machine interfaces.
Applications including
prosthetic limbs, tele-
robotics, and neurogaming.

Other tech trends.
AI is the next era of
computing
Cryptocurrency for
everyone Splinternets
* Not comprehensive. Due to time, I have deliberately excluded genomics-based business models,.
Augmented reality
everywhere

Artificial Intelligence.
02

Customer Experience Principles
Artificial Intelligence and Data
TRUST &
TRANSPARENCY
UTILITY
FAIRNESS &
INCLUSIVITY
EMPATHY &
RESPECT
ACCOUNTABILITY

Deep Learning.
Ability to draw meaningful inferences from large volumes of data sets.
Deep learning models have been around for a very long time, but only now we have two
crucial ingredients that were missing…

“The accumulation of digital data will
increase from 4.4 trillion gigabytes in
2013 to 44 trillion gigabytes in 2020.”
EMC Digital Universe study

The tipping point.
The digitisation of society
generated enough data to
unlock the value of deep
learning models.
Deep
learning
Older
learning
algorithms
AMOUNT OF DATA
PERFORMANCE

“An iPhone 5S has 1300 times more
processing power than the computer
that landed Apollo 11 on the moon.”
Computer Weekly

“ Any sufficiently advanced technology is
indistinguishable from magic.”
Arthur C. Clarke

“The biggest predictor of whether a company will
successfully adopt machine intelligence is
whether they have a C-Suite executive with an
advanced math degree. These executives
understand it isn’t magic—it is just (hard) math.”
ShivonZilis
Neuralink,OpenAI,Tesla

AI and economic value.
Vast majority (99%) of the current
economic value in the area of AI comes
from Supervised Learning.
Machine learning disciplines categorised in
order of current economic value:
• Supervised learning (99%)
• Transfer learning
• Unsupervised learning
• Reinforcement learning (not many use
cases, but plenty of PR excitement)
Source: Andrew Ng, Landing.AI

Supervised Learning

The AI answers a question.
INPUT (A)
Unlike traditional hard-coded software, machine intelligence gives only
probabilistic outputs.
OUTPUT (B)
Categorised
Data
Probability

Facial recognition – “Is it Inês?”
INPUT (A)
Unlike traditional hard-coded software, machine intelligence gives only
probabilistic outputs.
OUTPUT (B)
My photo 84% probable

Loan Application – “Will this applicant pay the loan?”
INPUT (A)
Unlike traditional hard-coded software, machine intelligence gives only
probabilistic outputs.
OUTPUT (B)
Loan
Application
23% probable

Online Advertising – “Will the target audience click on this ad?”
INPUT (A)
Unlike traditional hard-coded software, machine intelligence gives only
probabilistic outputs.
OUTPUT (B)
Ad
+
Target audience
3% probable

Accuracy is a huge
competitive advantage.
Customer
Business

Deep learning models.
INPUT (A)
Google has over 6k directories of code containing deep learning models.
Classification, segmentation, image captioning, object detection, speech
recognition etc.
OUTPUT (B)
Categorised
Data
ProbabilityBrain-like
model
Weight/probability for
each label/category

Training the model using categorised data.
Brain-like
model
White hair = 15%,
Brown hair = 50%
Red hair = 15%
Black hair = 5%
Curly hair = 30%
Long Hair = 50%
Short hair = 50%
Brown eyes = 89%
Round face = 80%
…
Photos labeled
“Inês”

Supervised learning by users or data scientists.
INPUT (A) OUTPUT (B)
Is this Inês
Almeida?
Brain-like
model
Weight/probability for
each label/category
84% probable
Friend tags my photo
Model is updated.
The weights are
adjusted.
Positive
validation by a
human

“The value of code is different from data, but
what about the value of the model that code
improves based on that data?”
ShivonZilis
Neuralink,OpenAI,Tesla

Unsupervised Learning

Unsupervised learning.
v2.2
Learns without human
intervention using tons of
mostly unstructured data
v2.2.1
Figure out things without labelled data.
Reinforcement learning by playing
computer games.
Neural nets generating child AIs.
Generative adversarial networks: two
neural networks contesting with each
other in a zero-sum game framework.

What happens when it learns more than we
know? What happens when it can’t explain itself
because we are not able to understand it?

WHAT?
WHY?
SO WHAT?
MichaelStewart, CEOofLucid.AI

What happens next?

Strategy Matters. A Lot.
Artificial Intelligence & Business

AI-derived business value is projected to reach up
to $3.9 trillion by 2022.
Gartner

Thousands of use cases.
Corporates can:
• improve their customer
experience
• save costs
• lower prices
• drive revenues
• sell better products and services
powered by AI

Focus on Ecosystem Participation &
Discoverability.
Digital Assistants Become Ubiquitous.
Siri Alexa CortanaGoogle Bixby

“Withanecosystemmodel,theworldwillteachthe
assistants.”
“Wheneverybrandandeveryserviceisconnectedto
assistants,theywilldelivercomplextasksbetter.‘Helpme
planmytriptomysister’swedding.’”
AdamCheyer–Co-founderofSiriandVivLabs.
Sources: SXSW2018 – Adam Cheyer- Viv Labs- Exploring Innovation in AI.

The basics.
Optimize for voice search. Now.
50% of people in industrialised nations
who interact with computers will use
voice by 2020.
Source: Future Today Institute

The basics.
Optimize for voice search. Now.
50% of people in industrialised nations
who interact with computers will use
voice by 2021.
Source: Future Today Institute
PHIL CROSS

The companies who
control the future of
artificial intelligence.
The tech giants are designing and
powering horizontal AI platforms to
enable and influence buying
decisions.
These companies enjoy tremendous
economies of scale. Very few others
will be able to compete with a wide
solution.

AI for everyone.
Take advantage of the existing building blocks where appropriate.
CHIPS
CLOUD PLATFORMS & INFRASTRUCTURE
MODELS & ALGORITHMS
ENTERPRISE SOLUTIONS
INDUSTRY SOLUTIONS
But protect your data and your expertise at all costs.
Source: Towardsdatascience.com

AI for everyone.
Take advantage of the existing building blocks where appropriate.
CHIPS
CLOUD PLATFORMS & INFRASTRUCTURE
MODELS & ALGORITHMS
ENTERPRISE SOLUTIONS
INDUSTRY SOLUTIONS
But protect your data and your expertise at all costs.
Source: Towardsdatascience.com
ANDREW
BURGESS

AI for everyone.
Take advantage of the existing building blocks where appropriate.
CHIPS
CLOUD PLATFORMS & INFRASTRUCTURE
MODELS & ALGORITHMS
ENTERPRISE SOLUTIONS
INDUSTRY SOLUTIONS
But protect your data and your expertise at all costs.
Source: Towardsdatascience.com

Data & domain expertise
are defensible barriers to
business.
To gain competitive
advantage adopt a vertical AI
strategy.
What questions can you
answer that no one else can?
Source: Andrew Ng, Landing.AI and John Price, Vast.com

Data & domain expertise
are defensible barriers to
business.
For how long are you able
to defend that position?
Source: Andrew Ng, Landing.AI and John Price, Vast.com

The Great Verticalisation.
The Formula.

1. Data is the opportunity
and the challenge.
Getting good data is still the
hardest problem to solve.
Then you need to clean, polish and
normalise it.
Consider multiyear strategic data
acquisition if you can plan a path
that results in a defensible business.
Sources: Andrew Ng, Landing.AI and John Price, Vast.com

2. Domain experts help.
Codifying the rules used by domain
experts is a key stepping stone to
enable vertical AI.
But if you can provide good clean,
vertical data, deep learning can and
will uncover the rules.

3. Experience matters.
There are plenty of enterprises
releasing AI bots that no one uses.
User-centred design across the entire
customer journey is the last
component of the Vertical AI success
formula.
Sources: John Price, Vast.com

4. Humans still matter.
When you start building complex,
opaque algorithms acknowledge
that you don't have all the context
yet so resist the urge to make
decisions for people.
Sources: SXSW2018 - Dan Chuparkoff - McKinsey & Company - Designing & Building
for a Data Science Future.

Our experience (with AI) is that users don’t want
information; they want to be told what to do.
JohnPrice–Vast.com
Sources: SXSW2018 – John Price – Vast.com -The Power of Vertical AI in a Monolithic AI World.

Unified data warehouses
are important, but…
“Some CEOs come to me and say,
‘Hey Andrew, give me three years to
build the perfect IT system and then
I’m going to come back to you, and
I’ll do AI then.’
It’s such a terrible strategy. Just don’t
do that.“
Andrew NG

Defensibility.
Vertical AI startups are inherently
defensible:
• they build full stack products
• have subject matter expertise in
their vertical
• gather proprietary data
• use AI to deliver the core value of
their product.
Each of the four core components of a
Vertical AI business makes it more
defensible.
Sources: Bradford Cross, DCVC

“moats are lame. If your only defense against
invading armies is a moat, you will not last long.
What matters is the pace of innovation — that is the
fundamental determinant of competitiveness.”
ElonMuskinresponsetoWarrenBuffett

Org design matters.

Org design matters.
Inês

5G, Internet of Things and
the impact of greater
connectivity.
03

1000 x faster than 4G
5 x less latency
10 x battery life
No black spots
5G by 2020:
New Standards

1000 x faster than 4G
5 x less latency
10 x battery life
No black spots
5G by 2020:
New Standards
Scalability
Flexibility
Convenience/reliability
Critical for safety

5G will fast become the BIG ENABLER.

Smart home devices in 20% homes
(over 50% by 2022)
Security
Home
Monitoring
Home Automation
/ Smart Speakers
Energy
Management
Health
Source: Statista Digital Market Outlook, April 2018

Enabling real time VR experiences.

AR continues to evolve
AR continues to evolve rapidly.

MUSIC
RETAIL
HEALTHCARE
EDUCATION
TRANSPORT
UTILITY
BANKING
CULTURE
EXCHANGE
WELLNESS
LEARNING
MOBILITY
FUNCTION
TRANSACTION
5G CHANGES PARADIGMS

Things to consider today.
It’s about the
possibilities, not
5G
The relevancy of Wi-Fi
& data capture
Mixed reality
opportunity?
What does
prevention mean to
you?
Connected
assets

Privacy, identity,
advertising and the
Blockchain.
04

Content. 1. The Sorry State of Privacy
2. The State of Identity
3. Brief Intro to Blockchain
4. Blockchain Possibilities: Identity, Privacy, and
Advertising
01
02
03
04

Content. 1. The Sorry State of Privacy
2. The State of Identity
3. Brief Intro to Blockchain
4. Blockchain Possibilities: Identity, Privacy, and
Advertising
01
02
03
04

The Sorry State of Privacy

Privacy vs. Governments & Corporations
Surveillance
Personalisation
Targeting
PRIVACY
GOVERNMENT
“Security”
CORPORATIONS
Advertising

“The algorithms that orchestrate our ads
are starting to orchestrate our lives.”
Eli Pariser,The Filter Bubble: What the Internet is Hiding From You
2011

“Social media has swallowed the news –
threatening the funding of public-interest
reporting and ushering in an era when everyone
has their own facts. But the consequences go far
beyond journalism.”
Katharine Viner,How technology disrupted the truth. The Guardian.
2016

What happened next will
blow your mind…

87million
users affected by the Facebook’s
data breach.
Objective: Election interference.

Privacy vs. Governments & Corporations
Surveillance
Personalisation
Targeting
PRIVACY
GOVERNMENT
“Security”
CORPORATIONS
Advertising

Privacy vs. Governments & Corporations
GOVERNMENT
“Security”
CORPORATIONS
Data as Business Model
IS THE ERA OF
PRIVACY IS OVER?

“Your money is nice, but tell me about your
data.”

The biggest data breaches of the 21st
century also include:
• Ebay – 3b
• Equifax – 143m
• JP Morgan Chase – 76m
• Home Depot – 56m
• Target – 110m
• Adobe – 38m
• RSA Security – 40m
The data you capture
is always at risk.

€20 million or 4% of global annual
turnover penalty for non-compliance
with EU’s General Data Protection
Regulation.
Regulation is here to stay.

Privacy by design.

Continuous consent is necessary
and can be withdrawn at any
time and just in time without any
friction or complexity.

The inevitable consumer backlash.
• Ad blockers
• VPNs
• #DeleteFacebook
• Cryptocurrency
• Blockchain
• Telegram
• …

The State of Identity

Your identity has traditionally been viewed
through the lens of an organisation and its
needs such as a bank, the government or
Facebook.
Digital identity is not designed for your
needs.
“You” & the organisation.

We have hundreds of online
personas at hundreds of
organisations.
These are stored in disconnected
proprietary systems owned by
government and businesses.
Updating an address is hard.
Fragmented identity.

• Personal id & biometrics
• Values & behaviours
• Preferences & buying patterns
• Credit rating
• Criminal history
• Professional experience
• Licences
• Genomic & health data (the new frontier of
individual profiling and fortune telling)
The ever expanding digital “identity”.

That require a third party root trust authority
• “I am John Williams”
• “I’m over 21!”
• “I have a health nutrition degree.”
• “I’m authorised to drive trucks.”
Verifiable claims.

Ratings & reviews
• Amazon
• Uber
• Airbnb
• Airtasker
Social media likes & shares
New trust indicators.

The clique & gig economies…
Beyond social status to net worth…

The Birth of the Internet of Value
Blockchain.

Out of scope.
• Cryptocurrency as security
• ICOs
• Financial advice
• Best wallets and
exchanges
• The identity of Shatoshi
Nakamoto
• Silk road
In scope: The underlying technology framework and its potential.

The birth of Bitcoin.

When physical cash leaves your hands
you are not able to spend it again.
Double-spending problem.

Double-spending problem.
Online transfers
Credit card
payments E-commerce
With digital currency, things get a bit more complicated…

Financial intermediaries such as banks,
clearing houses, visa etc. engage in identity
verification and update their ledgers with
transactions.
Double-spending problem.

Most brokers extract more value than they
produce.
Double-spending problem.

The illusive Shatoshi Nakamoto solved the
double-spending problem using a
decentralisation and cryptography.
Bitcoin. Problem solved.

• Financial brokers are replaced by public
and distributed ledgers running on a
network of computers around the world
• ​Each peer-to-peer transaction is replicated
across the network, making it immutable
• Lower transaction costs enable
micropayments
The great decentralisation.

Encryption enables privacy & security.
A private key unlocks the information stored
on the distributed network.
Encryption.

Blockchain, the technology that runs
Bitcoin can do much more than just enable
digital currency.

Blockchain – The internet of value.
CRYPTOCURRENCY

Blockchain – The internet of value.
ANY VALUE EXCHANGE
Money, goods, property,
work, and even votes.

Blockchain – The great disintermediator.
FINANCIAL INSTITUTIONS

Blockchain – The great disintermediator.
TRUST SERVICE
PROVIDERS
Governments, financial
and legal institutions

“Instead of putting the taxi driver
out of a job, blockchain puts Uber
out of a job and lets the taxi
drivers work with the customer
directly.”
Vitalik Buterin, Ethereum
foundation

Brokers working to automate workers…
Blockchain workingto automate brokers…
Shawarma anyone?

Blockchain pumping new life in the enterprise.
Businesses are trialling blockchain technology to gain cost savings and efficiencies,
streamline the supply chain, uncover new business models or compete with startups.
Example: Financial services sector.

Self-sovereign Identity
Powered by the Blockchain.

From this.

To this.
Issue & verify claims
Accepts, rejects and shares claims

Self-sovereign identity.
University Employer
CLAIM ISSUER CLAIM VERIFIERCLAIM HOLDER
PUBLIC BLOCKCHAIN
Signs claim Counter signs claim Verifies claim
Properties powered by the
blockchain
• Persistent
• Peer-to-peer
• Private
• “Just in time”
• Portable
Issuers have power to revoke some claims.

Interoperability is key.

Decentralised Identity
Foundation.
The open standards infrastructure for self-
sovereign identity is being developed now.

Permission Based Marketing & Advertising
Powered by the Blockchain.

As much as 56% of all display ad
dollars were lost to fraudulent
inventory in 2016.
​The cost of ad fraud globally is
expected to increase to $50
billion.
Ad fraud.
Source: Forrester.

94% of marketers don’t have a single
view about their consumers that could
have facilitated cross-platform
continuity.
Fragmented experiences.
Source: HBR: What blockchain means for marketing.

Could drive:
• transparency in the advertising
network
• responsible content delivery
• disintermediation of middle layers
• accountability
• relevance of content delivery
Blockchain-based advertising supply
chain.

Blockchain transaction speeds (10–30 secs)
are not fast enough for the ad-tech
ecosystem (millisecs).
But, it’s just a matter of time. Everyone in
the blockchain community is working on
this problem:
• Increase blocksize
• Off-chain transaction
• Scaling network size
• . . .
Not fast enough. Yet.

What if . . .
brands could engage in meaningful, consensual and
distinct connections, at the right place and time?
the ad dollars currently spent on brokers were used to
reward prospects’ time and customer loyalty?

What does this mean for businesses?
Privacy, Identity, Advertising and the Blockchain.

Keepaneyeonthelatestdevelopments. Permission-basedengagement isthefutureofmarketing. These
solutionsare,atbest,nascent, butbrandsmaybenefitfromfirstmoveradvantage.
Assess Blockchain technology.

The crossroad.
05

Blockchain 5G & IOT
Artificial
Intelligence
?
So what?

“Tech isn’t the underdog anymore. It’s
time to act like it.”
Eli Pariser,SXSW Interactive 2018 Hall of Fame speech

“Iamnobird;andnonet
ensnaresme:Iamafree
humanbeingwithan
independentwill.”
CharlotteBrontë,JaneEyre

Act. Now.
DISCOVERY/
AWARENESS
RESEARCH
PURCHASE
BOOKINGS &
DELIVERY
INSTALLATION
SERVICE &
SUPPORT
REVIEW
TRUST
PlaceCustomerExperienceatthe
centerofyourstrategyandexecution.
PlaceTrustatthecenterofyour
CustomerExperience.

Thank you.
Q&A
Inês Almeida
ialmeida@apdgroup.com
Scott Player
splayer@apdgroup.com

Australia Post

AUSTRALIA POST – DIGITAL iD™
Tung Nguyen
Strategic Partnerships - Digital iD
Australia Post

Rethinking
Identity

A simple and secure way
to verify.
Introducing
Digital iDTM
How we really
verify people
Scott
Player
CEO APD

Control
Macro-Trend:

Inperson
Phone
Online

Where we
are today
Live
since
mid-2017
30-60%
Identity
conversion
uplift
1.1m
verifications per
year
28
customers
Approval for proof
of age
Strong partnership
with Digital Transformation
Agency
Passport chip
reading and biometric
binding released
Award Winning
ITnews Benchmark Awards
iAwards

What’s
next?
Entitlements
Authentication
Social verification

Thank you – Q&A

Breakout Sessions

Inês Almeida
Chief Transformation Office
BREAK-OUT SESSIONS AND DISCUSSION
Keith Dodds
Director, Business Consulting
Philip Cross
Head of Performance &
Digital Strategy Consultant
ORGANISATIONAL TRANSFORMATION
Stuart Oliver
Director, Business Development
Andrew Burgess
Group Head of Technology
AI 5G & IoT
Pascal Allix
Partner, AI & Analytics Practice
IBM Australia/New Zealand

Thank you