Is there an AI for my business problem - The Digital Benchmark - Berlin 2019

Is there an AI for my business problem?

In collaboration with

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Use Case

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

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While AI is widely accepted as a major driver for competitive advantage, its delivery and scaling is still a challenge AI is a huge game changer, already considered by most companies...

‌ but AI initiatives raise new challenges and uncertainty

90% 85% 72% +38%

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)

of increased productivity in Businesses using AI technology (Accenture - 2017)

47%

of executives find AI hard to integrate with existing processes and systems (Deloitte - 2017)

40%

of executives say an obstacle to AI initiatives is that technologies and expertise are too expensive (Deloitte - 2017)

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of AI projects will deliver erroneous outcomes due to bias in data, algorithms, or project management (Gartner 2018)

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Beyond Marketing Automation, data science and AI are true boosters for Client Life-Cycle Marketing...

ACQUISITION Boost the effectiveness of media campaigns through ADVANCED PROFILING

LOYALTY Effortless & Instantaneous DIRECT-TO-CONSUMER LOYALTY PROGRAM for a CPG

Optimized customer experience through a SMART SHOPPING LIST

Frequently associated purchases

Past purchases 02/03

1

04/03

2

05/03

3

06/03

4

08/03

5

10/03

Meat, tomatoes...

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Cheese !

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‌ and AI also started to infuse deeper in organizations, impacting the Product Life-Cycle

AI for Product Development Extract market insights and detect trends using 1st party data and social data

AI for Desirability Monitor the desirability of your brand by predicting sales volumes

10/0 3

Desir abilit y 190

Desira bility 171

Desir abilit y 154

Desir ability 129

Desir ability 120

Desir ability 120

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Desir ability 119

Desir ability 115

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First off, where does injecting AI make sense for you?

BUSINESS IMPACT 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

TECHNICAL FEASIBILITY 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

SCALABILITY

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 WIFI digitbench19

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A little bit of theory to begin with: Different levels of AI to tackle your problems AI scope

Ease of use

General

GENERAL ML FRAMEWORK 1

SPECIALIZED ML FRAMEWORK “I need to recognize 1 fashion Top Model among 50”

Complex

“I need to develop an autonomous driving system”

2

DEDICATED API 3

“I need to read the content of a receipt”

Specific

Simple

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So now, how to choose?

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Which level of AI do I really need?

Is there a GAFIM API that perfectly meets the use case?

Does an API other than GAFIM respond perfectly to my needs?

Consult or surrender

Is Transfer Learning possible?

Is the use case known by the community?

Does I have an R&D team at my disposal?

01. Choice among

02. Choice among

03. ML Framework

04. Generalist ML

04. Internally

GAFIM APIs

alternative APIs

for Transfer Learning

Framework

produced R&D solution

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Is there a GAFIM API that perfectly meets the use case?

VISION Visual recognition on video

Optical Character Recognition

LANGUAGE

Face recognition

Content moderation

NLP

STT

Human body modeling from 2D images

Customizable image recognition

Translation

TTS

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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

No speaker diarization

Remarks

Satisfying

Average

More performant than Google on speech to text in French

Impossible to work in Python

Poor handling of French language

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

Work error rate

43% 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

~10 000 images in the training dataset

Model trained on 2020 Cruise collection images

Model training

Detects: handbag, dress, woman...

~9 000 social media images (3 days)

4 500 images with Chanel looks

Model application

Check and optimize

Detects: Fendi dress ref.8159XF1

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THANK YOU !

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

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