Is there an AI for my business problem - Benchmark by EBG Berlin 2019 - Artefact

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Is there an AI
for my
business
problem?
In collaboration with

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Visual and speech recognition:
supplier selection methodology
CYRIL FEKETE
Consulting Partner
Artefact
Use Case
9:00 AM - 9:15 AM

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While AI is widely accepted as a major driver for
competitive advantage, its delivery and scaling is still a
challenge
of execs believe that AI will
be the most significant
business advantage of
the future
(Pwc - 2017)
of US and Europe
companies are working
on AI projects
(DataBricks - 2018)
72%
+38%
of increased
productivity in
Businesses using AI
technology
(Accenture - 2017)
90%
of executives find AI hard
to integrate with existing
processes and systems
(Deloitte - 2017)
of executives say an
obstacle to AI initiatives is
that technologies and
expertise are too
expensive
(Deloitte - 2017)
47%
40%
85%
of AI projects will deliver
erroneous outcomes
due to bias in data,
algorithms, or project
management (Gartner -
2018)
AI is a huge game changer, already considered
by most companies...
… but AI initiatives raise new challenges and
uncertainty

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LOYALTYACQUISITION
Beyond Marketing Automation, data science and AI are
true boosters for Client Life-Cycle Marketing...
Boost the effectiveness of media campaigns
through ADVANCED PROFILING
Effortless & Instantaneous DIRECT-TO-CONSUMER
LOYALTY PROGRAM for a CPG
Optimized customer experience
through a SMART SHOPPING LIST
02/03
05/03
06/03
10/03
1
2
3
4
5
04/03
Frequently
associated
purchases
Past purchases
08/03
Meat, tomatoes...
Cheese
!

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AI for Product
Development
… and AI also started to infuse deeper in organizations,
impacting the Product Life-Cycle
Extract market insights and detect trends using 1st party data and social
data
10/0
3
AI for Desirability
Monitor the desirability of your brand by predicting sales volumes
Desir
abilit
y
190
Desir
abilit
y
154
Desira
bility
171
Desir
ability
129
Desir
ability
120
Desir
ability
115
Desir
ability
119
Desir
ability
120

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SCALABILITY
TECHNICAL
FEASIBILITY
First off, where does injecting AI make sense for you?
1. Alignment with long-term
strategy and fit with high impact
objective breakdown approach
2. Tangible benefits on sales,
mass margin, cost savings...
3. Intangible benefits on loyalty,
brand image, customer
satisfaction…
BUSINESS
IMPACT
4. Data quality: availability,
readiness, volume, label...
5. Machine-learning relevance
6.Technical complexity and ability
to integrate the model into existing
IT and business tools
7. Ability to deploy the use cases
across multiple categories,
countries, formats or business units
8. Existing synergies with other
use cases
We apply a criteria filtering matrix to qualify, select and prioritize use cases

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A little bit of theory to begin with: Different levels of AI
to tackle your problems
DEDICATED API
“I need to read the
content of a receipt”
3
SPECIALIZED
ML
FRAMEWORK
“I need to recognize
1 fashion Top Model
among 50”
2
GENERAL ML
FRAMEWORK
“I need to develop
an autonomous
driving system”
1
General
Specific Simple
Complex
AI scope Ease of use

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So now, how to choose?

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Is there a
GAFIM API
that perfectly
meets the
use case?
01. Choice among
GAFIM APIs
Which level of AI do I really
need?
02. Choice among
alternative APIs
03. ML Framework
for Transfer Learning
04. Generalist ML
Framework
Does an API
other than
GAFIM
respond
perfectly to
my needs?
Is Transfer
Learning
possible?
Is the use
case known
by the
community?
Does I have
an R&D team
at my
disposal?
04. Internally
produced R&D solution
Consult or
surrender

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Is there a GAFIM API that perfectly meets the use case?
Visual recognition
on video
Optical Character
Recognition
Human body
modeling from 2D
images
Face recognition
Content
moderation
Customizable
image recognition
NLP STT
TTSTranslation
VISION LANGUAGE

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With no ideal GAFIM API, does an API from another
provider perfectly meet the use case?
Handling of french language
Proper names recognition
Integration of dictionaries of
technical terms / acronyms
Possibility of isolating the voices
of the interlocutors
Remarks
No speaker
diarization
More performant
than Google on
speech to text in
French
Impossible to work
in Python
Poor handling of
French language
Satisfying Average Not satisfying

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With no ideal GAFIM API, does an API from another
provider perfectly meet the use case?
Test
Work error rate
GOOGLE
43%
Work error rate
26%
Our experience with voice recognition AI

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If no API exist for my use case, is Transfer Learning
feasible?
Using a pre-trained model to re-train it to make it specific to your needs
Raw model
Model
training
Model trained on
2020 Cruise
collection
images
~9 000 social media
images (3 days)
4 500 images with
Chanel looks
~10 000 images in
the training dataset
Model
application
Check and optimize
Detects:
handbag,
dress,
woman...
Detects:
Fendi dress
ref.8159XF1

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THANK
YOU !

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CONTACT
Cyril
FEKETE
Consulting Partner
cyril.fekete@artefact.com