The role of the Internet economy in Africa

1. AUGUST 2014

2. THE
INTERNET

3. THE
INTERNET
Printing presses

4. THE
INTERNET
Radio
Printing presses

5. THE
INTERNET
Radio
Social Media
Printing presses

6. Mobile
THE
INTERNET
Radio
Social Media
Printing presses

7. Mobile
Television
THE
INTERNET
Radio
Social Media
Printing presses

8. Newspapers
Mobile
Television
THE
INTERNET
Radio
Social Media
Printing presses

9. NOGs
RIRs
IAB
Internet Architecture Board
ICANN
Internet Corporation for Assigned
Names and Numbers
Governments and inter-governmental
organisations
W3C
World Wide Web Consortium
IETF
Internet Engineering Task Force
IRTF
Internet Research Task Force
ISO 3166 M International
organisation for Standardisation
Maintenance Agency
IGF
Internet Governance Forum
NOGs
Internet Network operators group
RIRs
5 regional internet registries
www.afrinic.net
www.apnic.net
www.arin.net
www.lacnic.net
www.ripe.net
No single entity runs the internet

12. Unlock Amplify
Research
Advocacy
Innovation
Funding bridge
Events
Networking
PR

13. Technology
as the
platform
Cloud
Mobile Social
Knowledge
Innovate Educate

14. % contribution of Eastern Cape economy
Employment
Employed 1 321 000
Unemployed 588 000
Not economically active 2 343 000
Unemployment rate (%) 30.8%
1
2
2
8
9
10
12
15
19
22
Government
Finance
Wholesale
Manufacturing
Construction
Personal services
Transport
Other
Taxes
Agriculture

15. Eastern Cape’s GDP of R204bn contributes approx 8.3% to the national GDP of R2.664 tr
2.3
6.7
6.1
5.7
5.7
8.3
16.8
14.6
33.9
Gauteng
KwaZulu-Natal
Western Cape
Eastern Cape
Mpumalanga
North West
Limpopo
Free State
Northern Cape
Provincial contribution to South African economy | 2010

16. How to make it a reality
Smart policy
making
Shifting to
knowledge-based
economic
sectors
Leveraging
existing
economic and
educational
infrastructure
Applying the
internet in the
delivery of
social and
public services

17. Developing the Eastern Cape digital economy
E-Health Economic
policy
E-Government
services
Broadband
infrastructure
E-Skills and
education
E-Commerce
This will be achieved through partnerships between
Government, civil society and the private sector

18. Smart
energy grids
Data
centres
Skills
development
Leverage internet
technologies
Clear vision
and mission
• Big Data
• Cloud computing
• Partnership with
higher education
• Social media
• Applications

19. Empangeni
Johannesburg
Harrismith
Ladysmith
Port Edward
Umtata
East London
Grahamstown
Port Elizabeth
Durban
George
Worcester
Cape Town
Pietermaritzburg
Bloemfontein
Polokwane
Beaufort West

20. CENTRAL AFRICAN
REPUBLIC
ANGOLA
SUDAN
BOTSWANA
CAMEROON
COTE
D`IVOIRE
GHANA
UGANDA
KENYA
MALAWI
NAMIBIA
NIGERIA
TANZANIA
ZAMBIA
ZIMBABWE
ETHIOPIA
BURKINA
FASO
BURUNDI
BENIN
DEMOCRATIC
REPUBLIC
OF THE CONGO
(ZAIRE)
DJUBOUTI
ALGERIA
EGYPT
GABON
WESTERN
SAHARA
SENEGAL
THE GAMBIA
GUINEA
EQUATORIAL
GUINEA
GUINEA-BISSAU
LESOTHO
LIBYA
MALI
MAURITANIA
MAURITIUS
NIGER
RWANDA
SIERRA LEONE
SAO TOME
AND PRINCIPE
SWAZILAND
CHAD
TOGO
TUNISIA
SOUTH
AFRICA
LIBERIA
ERITREA
CAPE VERDE
SEYCHELLES
SOUTH
SUDAN
Crucial factors affecting the price per kilometer

21. CENTRAL AFRICAN
REPUBLIC
ANGOLA
SUDAN
BOTSWANA
CAMEROON
COTE
D`IVOIRE
GHANA
UGANDA
KENYA
MALAWI
NAMIBIA
NIGERIA
TANZANIA
ZAMBIA
ZIMBABWE
ETHIOPIA
BURKINA
FASO
BURUNDI
BENIN
DEMOCRATIC
REPUBLIC
OF THE CONGO
(ZAIRE)
DJUBOUTI
ALGERIA
EGYPT
GABON
WESTERN
SAHARA
SENEGAL
THE GAMBIA
GUINEA
EQUATORIAL
GUINEA
GUINEA-BISSAU
LESOTHO
LIBYA
MALI
MAURITANIA
MAURITIUS
NIGER
RWANDA
SIERRA LEONE
SAO TOME
AND PRINCIPE
SWAZILAND
CHAD
TOGO
TUNISIA
SOUTH
AFRICA
LIBERIA
ERITREA
CAPE VERDE
SEYCHELLES
SOUTH
SUDAN
More open access infrastructure
Sub-sea
systems
Satellite
systems
4G
Common or shared infrastructure at all levels of the network
is inevitable – the National Long Distance domain is
especially suited to this macro-trend
* digital dividends spectrum debate
National
long
distance
networks
Metro fibre
rings
Mobile,
network,
passive
infrastr.
4G/LTE and
LTE
Advanced*
State,
energy/
power and
other
resources
Proliferation
of open
wi-fi
networks
Local loop
unbundling
Big data
apps built
on shared
resources

22. Dimension Data has
a strategic
partnership with the
4 universities in the
Eastern Cape
province and the
ELIDZ
Introduce an ICT
Innovation Hub |
Engineering and ICT
graduates develop
innovative projects
in a mentored and
creative environment
Targeted graduates
will be mentored to
become inventors
and entrepreneurs
over a two year
period
Exit strategy |
assisted to establish
own companies,
introduce to the
industry and skilled
through skills
programs

23. Dimension Data
(Sponsor and mentor)
4 Universities
(Sourcing
graduates)
ELIDZ
(Facilities)

24. Early engagement
and strong
partnership with
Universities
(Hackthons, seminars,
competitions)
Working with
universities to
develop / improve
curriculum that
supports innovation
Highlight and profile
local
entrepreneurship
success stories
Inculcate and
encourage a culture
of hard work for
entrepreneurs hosted
at Cortext Hub

25. 3
Exit startups from the Cortex Hub and
facilitates company up-scaling in the global
market (through Silicon Valley partnerships)
1
Identification and selection of “founders”
from the universities
Entrepreneurship qualities
• Hard working
• Risk taking
• Attitude to failure
2
Host the founders at the Cortex Hub • ~2 – 4 month of pre-incubation
• ~12 – 18 months of incubation
• Providing: basic amenities, computing and networking
resources, link to business mentorship and coaching,
access to Cortex Hub funders and financiers

27. Angel investors and venture capitalists | Top 7 perceived constraints to SA Entrepreneurs
Access to
funding
Entrepreneurial
culture
Bandwidth Access to
technical
skills
Market
size
Access to
mentors and
support
Legal
barriers

28. Angel investors and venture capitalists | Start-up funding
Source of Funding
11%
8%
8%
2%
9%
26%
60%
Self-financed
No funding received
Unkwown
Angel Investment
Venture Capital
Family and friends
Bank loans
Source of Revenue
14%
13%
12%
11%
10%
40%
52%
Product or service subscription
Consultation or bespoke work
Sales to advertisements
Once off sale of a product
Commission
Other
Sale of license to product

29. Society
Parents School

32. • Computational Linguistics
• Natural Language
• Processing Toolkit
• Machine Learning
• Artificial Intelligence

33. A trading system that utilises very advanced mathematical models for making
transaction decisions in the financial markets

34. A digital or virtual currency that uses cryptography
for security so difficult to counterfeit
A defining feature of a crypto currency is that it is
not issued by any central authority, rendering it
theoretically immune to government interference or
manipulation

35. INTERNET of
THINGS

37. Tokyo Gate Bridge
Accelerometer
Strain
Temperature
Displacement
detects abnormality | plan effective maintenance

38. • The motivation for Hadoop
• Hadoop basic concepts
• Hadoop solutions
• The Hadoop Ecosystem
• Managing your Hadoop solution
• Introduction to map reduce
• Hadoop clusters’
• Writing MapReduce Program in Java
• Delving Deeper into the Hadoop API
• Practical Development Tips and Techniques

39. AUGUST 2014