State of Africa Artificial Intelligence based on kaggle survey Africa4Ai

1. v
2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
Computer
Vision
Areas
Natural
Language
Processing
Areas
Image
Segmentation
Image
Classification
29
17
17
16
12
8 GAN
None
Object
Detection
General
Purpose
Word
Embedding
Encoder
Decoder
None
Transformer
Language
Contextualized
Embedding37
23
16
15
3
Compute
Engine
Preference 66% 29%
4%
1%
CPU GPU TPU Others 31-4011-20 21-300-10
Income versus Job Title
percent
percent
0-49
50-249
250-999
Company
Employee
Size
1k-10k
10k+45 17 12 14 8
v
Coding Versus Machine Learning Experience
1 1-2 2-3 3-4 4-5 5-10 10-15
1 88 9 1 0 0 0 0
1-2 34 53 8 3 1 1 0
3-5 29 22 25 12 10 3 0
5-10 16 16 7 11 20 25 5
10-20 8 23 15 0 8 8 38
20+ 33 25 8 8 17 0 8
Machine Learning years
CodingYears
Job
Roles
Analyze data to influence business decisions
Build prototypes to apply machine learning(ML)
Manage data infrastructure
Expe-iteration to improve existing ML models
Manage ML service to improves workflows
Do research that advances the art of ML
Others
29
18
14
14
13
10
2
22 21
17
1 1 1
3 3
2 2
14 14
Google
None
AWS
Microsoft
IBM
VMWare
Oracle
RedHat
SAP
Other
Alibaba
Salesforce
Cloud
Service
Provider

2. 2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
Compute
Engine
Preference
66% 29%
4%
1%
CPU GPU TPU Others
Compute Engine
Preference of African
AI Scientists
Majority of African
AI Scientists use CPU as
their compute engine.
Approximately 1 out of
every three Africa AI
scientists use GPU.
Low proportion of
Africa AI scientists use
other compute engine
including TPU

3. 2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
Compute Vision
Areas of African
AI Scientists
Image classification is
the major computer
vision(CV) project of the
African AI practioners.
The numbers are in percentage.
The irrelevant categories have been removed.
They use CV for image
segmentation , general
purpose, object
detection and GAN.
Around 1 out of 10 of
them are not doing CV.

4. 2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
Job Title of African AI
Specialists Versus
their Annual Income
Most African AI
specialists are in the low
Annual income bracket
(<1k) expect those
working as Database
Manager and Project
Manager
Those working as Data
Engineer and Business
Analyst earn more
annually.
The numbers are in percentage.
The irrelevant categories have been removed.

5. 2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
The Company Size of
African AI
Practioners
More than half of
African AI practioners
work for small and
medium size companies
i.e. 0 to 249 employees
The remainder are
employed large
enterprises with more
than 249 workers
Company
Employee
Size
The numbers are in percentage.
The irrelevant categories have been removed.

6. 2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
Natural Language
Processing Areas of
African AI Professionals
AI ScientistsWord embedding aspect
of Natural Language
Processing(NLP) is
popular among the
African AI professionals
They build more of
Encoder-Decoder NLP
models than
Transformer language
models
They do less of
Contextualized
Embedding NLP modelThe numbers are in percentage.
The irrelevant categories have been removed.

7. 2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
Coding Versus Machine
Learning Experience of
African AI Scientists
The number of years
that African AI Scientists
spent in coding is not
proportionate to the
number of years they
spent in in doing
Machine Learning (ML).
NB: The numbers are in percentage
Those with 10-20 years
of coding rather 20+
years has the highest
proportion of scientists
with 10-15 years of ML.

8. 2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
African AI
Practioners job
description
The number one job
among African AI
practioners is to Analyze
data to influence
business decisions
A number of them build
prototypes to apply
machine learning(ML)
and manage data
infrastructure
Job Roles
The numbers are in percentage.
The irrelevant categories have been removed.
Others work on
improving the existing
ML models.

9. 2019 State of
Artificial Intelligence
in Africa…. based on Kaggle Survey
Part 2
Cloud Service Provider
Preference of Africa AI
Workers
Africa AI workers prefer
google cloud service
provider (CSP) to other
CSP.
NB: The numbers are in percentage
Google, AWS, Microsoft
and IBM constitute top
CSPs that they
patronise
Cloud Service
Provider
A Relatively high
proportion of them
work on their local
system rather than the
cloud.

10. State of
Artificial Intelligence
in Africa
…. Stay tuned