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The future is FASTER than you think:
tech trends and new business models
Prepared for Bun & Associates
13 February 2019
1
Hi.
2
My name is
Andries De Vos
CEO of www.slash.co
Hi-Tech
Startup Studio
We help clients
We build startups
www.slash.co
3
4
We build
startups (JV)
We help clients
(corporates, startups)
5
Part 1 | 

Our Exponential 
Digital Future
7
The Chessboard Legend
8
9
The 4th Industrial Revolution
10
Forces driving innovation are
accelerating and compounding
11
Tomorrow’s speed of change will
make today look like we are crawling
12
4 Forces driving
acceleration of future
13
#1 Computational
Abundance (Moore’s Law)
#2 Tech as Open Interfaces
& Building Blocks
#3 De-monitization
 #4 Capital Abundance
14
#1
15
#1
16
#2
The history of the internet
is a history of interfaces
and information exchange
17
#2
18
#2
What is innovation today?
19
#2
The rapid exchange of
ideas through interfaces
The creation of open
building blocks, freely accessible
The building on top
of each others’ ideas
20
#2
21
#3
22
#3
23
#3
24
#3
25
#3
26
#3
27
#3
28
#3
29
#3
30
#3
31
#3
32
#4
33
#4
34
#4
35
The Chessboard Legend
36
We have now 
entered the second half 
of the chessboard …
change is accelerating
37
The Future is Faster 
than you think
#2
38
•  Singularity University (https://su.org/) -
YouTube
•  Yuval Noah Harari – TED, YouTube and
Book ‘21 Challenges for the 21st Century’
•  “Thank you for being late” by Thomas
Friedman
•  Cambodia.AI & Startup Jungle Telegrams
Part 2 | 

Welcome to the 
Age of AI
AI

Last updated: 3 May 2017
Our Dec’17 talk at Startup Jungle: https://bit.ly/2k9Zn7B
40
WEAK AI
STRONG AI
2 types of AI
41
Type 1: “Weak AI”
Specific tasks, good tool
42
Type 2: “Strong AI”
General intelligence, super-human
43
WEAK AI
FOCUS OF THE TALK
44
TRADITIONAL SOFTWARE =
EXPERT SYSTEMS
engineer tells them how to do it
by programming rules
45
46
Limits of expert systems: DARPA car challenge
2004: 0 finish 2005: 5 finish
47
48
With AI, we as humans don’t tell
the machine what to do.
Not rule-based expert,
but data-based.
A (Input)
Examples:
Email
Image
Audio
English
Text
B (Response)
Spam (0/1)
Object (cats, dogs etc)
Text (speech recognition)
Khmer
Audio (A, B etc)
49
“MACHINE LEARNING”
50
The majority of AI applications.
Example of data clustering
51
Example of data clustering
with AI “Neural Network”
52
Layer 2
Layer 1 Layer 3 Layer 4
Each data classification
problem is different
We need a lot of AI models
or ‘algorithms’
This can get complex
53
54
Some
examples
A FEW EXAMPLES OF AI
55
IMAGE RECOGNITION
56
57
58
59
AUTONOMOUS SYSTEMS
60
61
EMAIL REPLIES
62
63
MESSAGING “CHATBOTS”
64
65
66
VOICE ASSISTANT
67
68
69
Think you can ignore AI?
Think again
70
From
Mobile-first
to
AI-first
71
72
Is Cambodia ready for AI?

73
2 challenges to start with AI
Access to Data Access to Talent
74
AI in Cambodia = embryotic
75
www.cambodia.ai

Join t.me/cambodiaAI 



www.startupjungle.org

Join t.me/startupjungle
76
AI Master course
77
But we are optimistic
about AI Talent in Cambodia
78
Do you need a PhD
in ML?
Not for applied AI.
79
Soon, applied AI will be less
about research and PhDs
and more about Product
Engineering and Data
80
Average AI engineer with a lot of data
IS BETTER THAN
top AI engineer with little data
81
82
We will allocate
AI engineers
for Cambodian market
ai@slash.co
83
Part 3 | 

Industry Case Studies –
LegalTech and RegTech
The coming company
explosion
85
Companies are legal
constructs.
Companies enable
value creation.
86
Companies are ‘virtual’
87
Virtual is easy to automate …
88
For example: company creation
89
Yet company creation is stuck in the
world of paper & humans
90
Change is coming, all powered by
automation.
Massively increase speed, number and
complexity of companies
91
4 types of jurisdictions
for company formation
92
93
Type 1 Type 2 Type 3 Type 4
Company
Registrar
Majority
SG, HK, etc
On the rise
UK, NZ,
AU, AE etc
Pioneers
Wyoming,
Delaware
Offshore
BVI,
Cayman etc
There is a strong demand for
automated legal entity systems
And now the Technology is there.
But the Political drive?
94
4 drivers of change
95
96
#1
Demand for unambiguous signed data
to digitize provenance and digital identity
97
#2
Need for legal entities on the fly,
to allow for automated
or code-supervised events
98
Deal-based incorporation
Currently, for large deals
Future, also minor ones?
If 100x cheaper, yes
99
#3
As world moves at speed of data,
legal process will have to follow
100
#4
The need to ring-fence liability issues
introduced by new technologies
101
Limited Liability Companies
102
Limited liability to assets of
entity
Extraordinary vehicle for
innovation and prosperity
103
104
‘Self Driving Car’ = Liability Minefield ?
105
Smart Limbs
106
AI-powered Internet of Things?
107
Decisions made by code
will interact with complex hardware
and impact the real-world
108
History: from Paper to Algorithmic Trading
Velocity of finance: from days to nano-seconds
109
What is the future Velocity of Legal?
110
In near future, routinely create
networks of companies on-demand?
Will we? Our AI’s?
New use cases?
New partnerships?
111
from manual to automated company creation,
to algorithmic incorporation?
Part 4 | 

New Models for
Digital Innovation
20th Century Playbook
Market Leader for Decades
113
M&A
114
Innovate by
Exception
115
116
But R&D Labs
No control over
commercialization
117
21st Century Playbook
Constant change
118
Continuous
Innovation
Innovate by
Design
119
120
Model to
build your
next big
innovation?
120
Control of R&D and
Commercialization
Sounds like a “Startup”? Yes.
121
Startup Studio
Startup Factory
Venture Builder
Company Builder
122
A Startup Studio is
a Company of Startups
“We develop ideas into products and
products into companies”
123
124
Hollywood Studio
124
Famous grads
125
126
#1 Entrepreneur-led
127
128
#1
STARTUP
STUDIO
Startups
Goal: find the ‘real startup’ faster
129
#2 Agency-led
130
131
#2
STARTUP
STUDIO
Clients Startups
Goal: launch new scalable businesses
132
133
134
Commercialize?
Joint Ventures
#3 Corporate-led
Startup Studio?
135
136
137
Is this Studio
Playbook for
you?
138
THANK
YOU
Contact us:
andries@slash.co
139
Product Development Process
SLASH DIGITAL YOUR NEXT TECH PARTNE
www.slash.co
140
Step 1
Problem
Definition
UX Design
Product
Development
Need
Shippable
Product
Step 2 Step 3
Inspiration & Trends
Problem Framing
Ideation
Value Proposition
Ethnography
Frame Solution
Design Prototype
Design Assets
Tech Proof of Concept
Minimum Viable
Product
Soft Launch
Product Release
~1-4 Week Sprints
~1-4 Days Workshop ~1-4 Months Sprints
for POC-MVP
141
SLASH DIGITAL YOUR NEXT TECH PARTNE
www.slash.co
142
Phase 1
Problem
Definition
UX Design
Product
Development
Need
Shippable
Product
Phase 2 Phase 3
Workflow
Lean Coach
Innovation Coach
UX / CX Designer
Design Th. Coach
Agile Coach
Scrum Master
Proxy Product Owner /
PM
Business Model
Canvas
Customer
Development
Lean Startup
UX Practices
Design Thinking
Scrum Methodology
DevOps Practices

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