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DIGITIZED! Get ready 
for the next wave of the digital society 
September 29th, 2014, Dubai, UAE 
Dr. Kim Kyllesbech Larsen 
Group Technology 
Ooredoo Group
“We can't solve problems using the same kind of thinking 
we used when we created them.” 
2 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Albert Einstein
+$? 
The traditional mobile business model 
3 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
At a Cross-road 
Monetizing 
Digitization -$ 
Voice Revenue 
In decline 
SMS Revenue 
In decline 
Data Revenue 
Slow to pick up 
of Voice, SMS & Data inevitably 
will decline.
We are (almost) all Mobile 
High GDP 
North 
Europe 
APAC 
America 
Mobile Penetration Urban Population 2013 
4 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
APAC EMEA 
Latin 
America 
Sources: United Nations, Department of Economic & Social Affairs, Population Division. . Mobile Penetration is based on Pyramid Research and Bank of America 
Merrill Lynch Global Wireless Matrix Q1, 2014. Index Mundi is the source for the Country Age structure and data for %tage of population between 15 and 64 
years of age and shown as a red dotted line which swings between 53.2% (Nigeria) to 78.2% (Singapore), with an average of 66.5% (red dashed line).
Most urban areas have 
3G Mobile Broadband 
3G Penetration Urban Population Urban Area 2013 
High GDP 
APAC 
Europe 
North 
America 
5 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
APAC EMEA 
Latin 
America 
Sources: United Nations, Department of Economic & Social Affairs, Population Division. . Mobile Penetration is based on Pyramid Research. Index Mundi is 
the source for the Country Age structure and data for %tage of population between 15 and 64 years of age and shown as a red dotted line which swings 
between 53.2% (Nigeria) to 78.2% (Singapore), with an average of 66.5% (red dashed line).
Revenue slows down, Cost grows faster 
… & that’s a problem for profitability! 
6 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
REVENUE GROWTH EXCEEDS 
GROWTH OF OPEX 
OPEX GROWTH EXCEEDS 
GROWTH OF REVENUE 
CAGR 2007 to 2013 
High GDP 
APAC 
Europe North 
America 
APAC EMEA Latin 
America 
Source: Bank of America Merrill Lynch Global Wireless Matrix Q1, 2014.
Customer Economics 
0 – 25% 
25%– 80% 
Beyond 80% 
ARPU Decline 
Customer Growth Slows 
Increasing Customer Acquisition Cost 
7 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Revenue stagnation 
& decline 
Profitability 
Pressure 
Attractive 
urban areas 
All urban & 
Sub-urban 
areas 
Rural Areas 
Note: “Crossing the Chasm” is attributed to Geoffrey Moore from his book “Crossing the Chasm: Marketing and Selling High-Tech Products to Mainstream Customers”.
2008 
2013 
Source: Pyramid Research. Note: Mobile User is the unique user of a mobile 
service which is different from the number of SIM cards or subscriptions. 
Mobile User cannot exceed 100% (number of SIMs cards or Subscriptions 
can & does exceed 100%). 
8 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
2009 
10% of Total Revenue 
Source: Pyramid Research. Note local currency. 
US$50+ 
Billion 
Loss 
2013 
PHP15+ 
Billion 
Loss 
Ca. 330 M US$ 
As Service penetration saturates 
Revenue is likely to Stagnate & Reduce
“Missing” Link … Digitized Revenues!? 
Mistakes & Mess 
deadly for profitability! 
Mistakes, Incompetence & 
Mess don’t really matter! 
Time 
SERVICE REVENUES 
USERS 
ARPU 
VOICE REVENUE DATA REVENUE 
Time 
9 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
SMS REVENUE 
TOTAL REVENUE 
? 
DIGITZED REVENUES 
(The 4thWave*) 
* The 4th Wave is attributed to CHETAN SHARMA, MobileFutureForward.
SMART GRID DATA MINING 
10 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
SECURITY 
DEFENCE 
MOBILE 
CONVINIENCE 
HOME Digitized! 
RETAIL 
Content 
HEALTH 
SURVAILANCE 
TOURISM 
PROFESIONAL 
SERVICES 
TRANSPORT 
BIONICS 
QoE 
ENVIRONMENT
Global Digitized Economy 2020 
Managed Cloud Services 
Mobile 
1,400+ 
Billion US$ 
(55% Data) 
Mobile App 
30+ 
Billion US$ 
11 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Fixed 
440+ 
Billion US$ 
(60% BB) 
Mobile Banking 
400+ 
Billion US$ 
Public Cloud 
370+ 
Mobile Health Billion US$ 
60+ 
Billion US$ 
M2M 
140+ 
Billion US$ 
Mobile Digital Advertising 
170+ Billion US$ 
(70+% of Total) 
Smartphones 
250+ Billion US$ 
Mobile Content 
8+ Billion US$ 
4+ Billion US$ 
Sources: http://www.statista.com/ premium 
account. Typically up-to 2020 has been projected 
based on available data. This applies to the following 
page as well.
Global Digitized Economy 2020 
Managed Cloud Services 
Mobile 
1,400+ 
Billion US$ 
(55% Data) 
Mobile App 
30+ 
Billion US$ 
4+ Billion US$ 
12 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Fixed 
440+ 
Billion US$ 
(60% BB) 
Mobile Banking 
400+ 
Billion US$ 
Public Cloud 
370+ 
Mobile Health Billion US$ 
60+ 
Billion US$ 
M2M 
140+ 
Billion US$ 
Mobile Digital Advertising 
170+ Billion US$ 
(70+% of Total) 
Smartphones 
250+ Billion US$ 
Mobile Content 
8+ Billion US$ 
Another 
Trillion Dollar+ 
Economy 
in the most 
obvious Mobile 
Digital Services 
Sources: http://www.statista.com/ premium 
account. Typically up-to 2020 has been projected 
based on available data. This applies to the following 
page as well.
Global Digitized Economy 2020 
Mobile 
1,400+ 
Billion US$ 
(55% Data) 
Mobile App 
30+ 
Billion US$ 
13 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Fixed 
440+ 
Travel & Tourism 
Billion US$ 
(60% BB) 
Mobile Banking 
400+ 
9,800+ 
Billion US$ 
Billion US$ 
(<10% Public Online) 
Cloud 
370+ 
Billion US$ 
Mobile Health 
60+ 
Billion US$ 
M2M 
140+ 
Billion US$ 
Mobile Digital Advertising 
170+ Billion US$ 
(70+% of Total) 
Smartphones 
250+ Billion US$ 
Mobile Content 
8+ Billion US$ 
Another 
Trillion Dollar+ 
Economy 
in the most 
obvious Mobile 
Digital Services Entertainment & 
Media 
2,500+ 
Billion US$ 
Internet of Things 
7,000+ 
Billion US$ 
Residential Financial 
Transaction Volume 
5,000+ 
Billion US$ 
(50+% Online Penetration) 
Note: 2013 had Globaly 
ca. 30% Internet Users 
Healthcare 
11,000+ 
Billion MUedSici$ne 
1,400+ 
Billion US$
14 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
New Opportunities? - Privacy concerns opens up for 
Non-US Technology-based innovation. 
BIG BROTHER EFFECT 
15 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
“A strategic inflection point is an event that changes the way 
we think and act”, Andrew Grove 
16 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
Video content rules the internet 
Global Monthly usage in Exa-Bytes (Million GB). 
30+ Billion 
Full Movie DVDs 
4+ DVD Movies 
per person per month 
Full Movie DVDs 
per person per month 
Note: Asia, North America & Western Europe makes up for 80% of the Total 
Source: Cisco VNI 2013 – 2018; 2019 & 2020 is authors projection based on VNI. 
17 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
150 Billion 
20+ DVD Movies 
CDN 45+% of Total 
IP Traffic 
60+% of Total 
IP Traffic in Metro
Middle East & Africa towards 2020 
Ca. 1 in 5 of World Population lives here! 
18 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
2020 MEA Projections: 
4% of Global IP Traffic 
17% of Total* is Metro-based 
Exa-Bytes 
74% Consumer IP Video Traffic 
14% of Total is CDN-based 
Source: Cisco VNI 2013 – 2018; 2019 & 2020 is authors projection based on VNI. 
Source: Pyramid Research 2013 – 2017; 2018 to 2020 is authors own projection. 
5+% of Pop have fixed broadband 
40% still on 2G 
4+% likely to have LTE 
*Total always refers to the Total IP Traffic. 
Fixed Broadband Penetration
19 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
Technologies to consider for the 
Digitized Society 
(MASSIVE) CONNECTIVITY NETWORKS 
CONTENT DELIVERY NETWORKS 
SOFTWARE DEFINABLE NETWORKS 
CLOUDS & VIRTUALIZATION INCL. 
NETWORK FUNCTIONS VIRTUALIZATION 
BIG DATA & MACHINE LEARNING 
AUTOMATION 
20 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
Massive Connectivity – Internet of Everything 
A critical enabler for the Digitized society! 
Smart lenses 
Body Sensors 
(exterior & 
interior) 
Smart 
“hearing” aids 
Smart glasses 
IA Intelligent 
Assistant (*) 
i-wearable 
Intelligent 
shoe 
Body Area Network (e.g., 5G) 
Ultra-small to small range network 
largely powered by the body. 
(You) 
Smart City Network 
(Environmental) 
Home Network 
(Personal) 
21 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
iWC 
Security 
E.g., Connected Cars 
(Object-based) 
(*) AI will be 
replacing the 
need for 
traditional 
terminal 
equipment. 
Vehicular 
to 
Vehicular 
Vehicular to 
infrastructure 
SW Updates 
Small cell 
Small cell 
Small cell 
Small cell 
Small cell 
Small cell 
Classical Cellular Networks 
(Macro-Micro-Small) 
SMART DUST – MICRO-BASED WSN 
Background: Imad Mahgoub et al “Smart Dust: Sensor Network Applications, Architecture, and Design” and “Jan Holler et all “From Machine-to-Machine to the 
Internet-of-Things”.
EXPONENTIAL COMPLEXITY 
22 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
23 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! ORCHESTRATION & MANAGEMENT
Transport Connectivity 
… Terastream … The Endgame? 
A critical enabler for the Digitized Society! 
Intelligence & Services 
Moves to Cloud & End-User Devices 
100 Gbps 
DWDM 
Small cell 
Small cell 
Small cell 
10 
GbE 
Small cell 
Node 
Cellular 
MSAN 
R1 
Pure Switching 
& IP Routing 
Target Min 100+ Mbps at consumer edge 
24 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Illustration 
OLT 
Wholesale 
NG-CN 
R2 
Data Center(s) 
w. Cloud, XaaS, SDN/NFV, CDN, … 
Note: Croatia Telekom (Deutsche Telekom), Croatia’s largest telecommunications company, first one to deploy the new TeraStream cloud-enabled 
transport & data center architecture (in partnership with Cisco). MSAN: Multi-Service Acccess Node, OLT: Optical Lite 
Termination. Sources: Peter Lothberg (DTAG) https://ripe67.ripe.net/presentations/131-ripe2-2.pdf & 
http://www.internetsociety.org/deploy360/blog/2014/01/videoslides-case-study-of-terastreams-ipv6-implementation-ripe67/
“Softwared” Network …Cloud & Virtualization 
A critical enabler for the Digitized Society! 
DC Localization push 
Due to huge growth in video demand 
QoE Driven by growth in IP Video Streaming Demand 
$$$ 
QoE 
$$$ 
Cisco VNI: 60+% of all IP Traffic is projected to be Metro-based and never floods the long-haul networks. Expectations are that this ration 
will not change much over period to 2020. BELL LABS “METRO NETWORK TRAFFIC GROWTH: AN ARCHITECTURE IMPACT STUDY” 
indicates as much as 75% by 2017 is Metro-based. SDN: Software Definable Network, NVF: Network Virtual Function, EaaS: Everything as 
a Service, CDN: Content Delivery Network, v-ABC: virtualized-ABC, RAN: Radio Access Network, BBU: Base Band Unit. Gary Lee “Cloud 
Networking 25 “, Dubai, 2014. September Matt Portnoy 2014 “Virtualization Dr. Kim Kyllesbech Essentials:, Larsen, Digitized! 
2012. 
Metro 
Transport 
NG Core 
Metro 
Access & 
Aggregation 
Localized 
Data Centers 
(optional) 
Metro 
Data Centers 
(optional) 
(Inter)National 
Data Center(s) 
SDN 
NVF v-CDN 
v-GW v-VAS 
v-RAN-BBU 
Private-Cloud 
Public-Cloud 
EaaS, vMSS, vGW, 
vBSS, … 
Caching, storage, … 
Public-Cloud 
Infrastructure- 
Cloud 
End-User QoE, ROI & Transport 
Cost Optimization required 
Increased Operational 
Efficiency 
Improve Cost per Byte 
v-MSAN 
Caching (e.g., video), local storage 
$$$ 
$$$
Economics of Cloud, Virtualization & SDN 
A critical enabler for the Digitized Society! 
Mobile Operator* 
Addressable Cost 
vRAN 
? 
25% 
Capex 
A good & reliable Why Cloud (& Virtualization) 
Core 
IT Infrastructure 
At least Greenfield 
Deployment! 
Opex** 
vRAN 
? 
15% 
Core, Transport 
IT Infrastructure 
(*) Mature market mobile operation. (**) Excluding personnel cost. Note 1: that for ISPs or other types of internet service companies 
the cost structure impacted by Cloud & Virtualization likely would be a lot higher. Note 2: An excellent treatment of Cloud Economics 
can be found in Harms & Yamartino’s “The Economics of the Cloud” (Microsoft 2010). 
26 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Economics of Scale 
Lower cost per Server 
Increased Utilization 
More processing per Server 
Enabling Multi-tenancy 
Lower cost per tenant 
transport 
infrastructure required 
More Agile & Elastic 
Service Delivery 
Increased End-User QoE 
Its not for Free! 
Improved ROI? 
Off-the-Shelf HW solutions 
Lower supplier lock-in
Customer Experience Management 
A critical enabler for the Digitized Society! 
Satisfaction 
Dis-satisfaction 
Expectations 
unfulfilled 
27 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Network 
Experience 
Other 
Behavioral 
Etc.. 
Data 
QoE 
Device 
Voice SMS Data 
Financial 
Data 
CDR CSSR 
Speed 
Customer 
Experience 
Network 
State 
Signaling Load 
Mobility 
Segment 
Data 
Expectations 
fulfilled 
Response Length 
#Call back 
Resolution 
Social Media 
Twitter 
Facebook 
Blogs 
Real-Time 
Customer Value 
Management 
Txt Logs 
Loss 
Content 
Dynamics 
Location 
Market Surveys 
(online, phone, etc) 
(E)mails 
URL 
Click 
dynamics 
LinkedIn 
Post 
Code 
Demo 
graphics 
Bill Upload 
Fraud 
Risk 
Telecom Perspective 
(illustration) 
Spend 
dynamic 
Activity 
Loyalty 
Inter 
actions 
Alarms
Big Data, Machine Learning & Automation 
A critical enabler for the Digitized Society! 
Visualization Layer 
- Administration 
- Data Analyst 
- Visualization Tools 
Platform Management Layer 
e.g., for Hadoop Open Source 
- Zookeeper 
- Pig, Hive, Sqoop 
- MapReduce 
PaaS 
Storage Layer 
- NoSQL DBs (PaaS) 
- Distributed File System (e.g., HDFS) 
Infrastructure Layer 
- Bare Metal Clustered Workstations 
- Virtual Cloud Services 
Security Layer 
Monitoring Layer 
BFaaS 
Analytics Engines 
- Statistic tools 
- Text analytics 
- Search engine 
- RT Machine learning 
Data Warehouse(s) 
- Analytic Appliances 
Ingestion Layer 
Data Sources 
Unstructured Data Relational DBs 
Video Images Sensors 
Need to process 
Unstructured data streams 
Source: N. Sawant & H. Shah “Big Data Application Architecture”, 2013, Byron Ellis “Real-Time Analytics”, 2014. Note: Hadoop is not 
the most optimal solution for large-scale real-time analytics or analysis including iterative machine-learning algorithms. BFaaS: 
Business Function as a Service, DaaS: Data as a Service, PaaS: Platform as a Service, IaaS: Infrastructure as a Service. 
28 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Near-RT & real-RT Analysis of 
massive data amounts 
Storage & Retrieval across a 
diverse ecosystems 
Monetizing Data 
IaaS 
IaaS 
PaaS 
DaaS 
IaaS 
IaaS
Big Data … 
a business opportunity? 
Source: Worldwide; Wikibon; 2013 Wikibon (2013 & 2017), 2020 data based on authors 
own assessment. 
29 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
RISKS 
PRIVACY ISSUES 
LACK OF SKILLS 
INFLATED 
EXPECTATIONS 
Note this does not 
reflect the value of 
applying data mining.
Customers don’t like to 
pay for digital services! 
(particular if perceived 
free in the physical 
world) 
Privacy requirements will prevent full data 
monetization .. What Was & Is, Will Not Remain! 
Global Content Players with well established & 
trusted billing platforms will become 
tough competitors to established MNOs 
Crowded & Fragmented 
market place 
for digital services! 
30 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 
Failure to 
monetize 
The Digital 
Society
Digitization challenges for 
Emerging Markets 
Backhaul, Backbone & International – Availability & Quality 
Different use cases/scale than mature markets. 
Relative slow cellular broadband uptake. 
Kiosk-based cloud access, SME & Gov. focus 
Relative long re-investment cycles (e.g., write-off periods). 
Public Funding, World Bank, etc 
Long ROI timelines for mass digitization. 
Initial focus: Private Cloud, eGov, SME, etc… 
Critical mass of ICT skills. 
31 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
THANK YOU! 
Dr. Kim Kyllesbech Larsen 
Follow Dr. Kim on Twitter @KimKLarsen 
Blog: www.TechNEconomyBlog.com 
Presentations: http://www.slideshare.net/KimKyllesbechLarsen 
Acknowledgement: I am indebted to my wife Eva Varadi for her great 
support, patience and understanding during the creation of this 
presentation. Further, I would also like to thank Chetan Sharma (Future 
Mobile Forward) for his incredible inspirational papers on “The 4th Wave”.

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Digitized! Get Ready for the Next Wave of the Digital Society

  • 1. DIGITIZED! Get ready for the next wave of the digital society September 29th, 2014, Dubai, UAE Dr. Kim Kyllesbech Larsen Group Technology Ooredoo Group
  • 2. “We can't solve problems using the same kind of thinking we used when we created them.” 2 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Albert Einstein
  • 3. +$? The traditional mobile business model 3 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! At a Cross-road Monetizing Digitization -$ Voice Revenue In decline SMS Revenue In decline Data Revenue Slow to pick up of Voice, SMS & Data inevitably will decline.
  • 4. We are (almost) all Mobile High GDP North Europe APAC America Mobile Penetration Urban Population 2013 4 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! APAC EMEA Latin America Sources: United Nations, Department of Economic & Social Affairs, Population Division. . Mobile Penetration is based on Pyramid Research and Bank of America Merrill Lynch Global Wireless Matrix Q1, 2014. Index Mundi is the source for the Country Age structure and data for %tage of population between 15 and 64 years of age and shown as a red dotted line which swings between 53.2% (Nigeria) to 78.2% (Singapore), with an average of 66.5% (red dashed line).
  • 5. Most urban areas have 3G Mobile Broadband 3G Penetration Urban Population Urban Area 2013 High GDP APAC Europe North America 5 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! APAC EMEA Latin America Sources: United Nations, Department of Economic & Social Affairs, Population Division. . Mobile Penetration is based on Pyramid Research. Index Mundi is the source for the Country Age structure and data for %tage of population between 15 and 64 years of age and shown as a red dotted line which swings between 53.2% (Nigeria) to 78.2% (Singapore), with an average of 66.5% (red dashed line).
  • 6. Revenue slows down, Cost grows faster … & that’s a problem for profitability! 6 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! REVENUE GROWTH EXCEEDS GROWTH OF OPEX OPEX GROWTH EXCEEDS GROWTH OF REVENUE CAGR 2007 to 2013 High GDP APAC Europe North America APAC EMEA Latin America Source: Bank of America Merrill Lynch Global Wireless Matrix Q1, 2014.
  • 7. Customer Economics 0 – 25% 25%– 80% Beyond 80% ARPU Decline Customer Growth Slows Increasing Customer Acquisition Cost 7 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Revenue stagnation & decline Profitability Pressure Attractive urban areas All urban & Sub-urban areas Rural Areas Note: “Crossing the Chasm” is attributed to Geoffrey Moore from his book “Crossing the Chasm: Marketing and Selling High-Tech Products to Mainstream Customers”.
  • 8. 2008 2013 Source: Pyramid Research. Note: Mobile User is the unique user of a mobile service which is different from the number of SIM cards or subscriptions. Mobile User cannot exceed 100% (number of SIMs cards or Subscriptions can & does exceed 100%). 8 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 2009 10% of Total Revenue Source: Pyramid Research. Note local currency. US$50+ Billion Loss 2013 PHP15+ Billion Loss Ca. 330 M US$ As Service penetration saturates Revenue is likely to Stagnate & Reduce
  • 9. “Missing” Link … Digitized Revenues!? Mistakes & Mess deadly for profitability! Mistakes, Incompetence & Mess don’t really matter! Time SERVICE REVENUES USERS ARPU VOICE REVENUE DATA REVENUE Time 9 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! SMS REVENUE TOTAL REVENUE ? DIGITZED REVENUES (The 4thWave*) * The 4th Wave is attributed to CHETAN SHARMA, MobileFutureForward.
  • 10. SMART GRID DATA MINING 10 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! SECURITY DEFENCE MOBILE CONVINIENCE HOME Digitized! RETAIL Content HEALTH SURVAILANCE TOURISM PROFESIONAL SERVICES TRANSPORT BIONICS QoE ENVIRONMENT
  • 11. Global Digitized Economy 2020 Managed Cloud Services Mobile 1,400+ Billion US$ (55% Data) Mobile App 30+ Billion US$ 11 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Fixed 440+ Billion US$ (60% BB) Mobile Banking 400+ Billion US$ Public Cloud 370+ Mobile Health Billion US$ 60+ Billion US$ M2M 140+ Billion US$ Mobile Digital Advertising 170+ Billion US$ (70+% of Total) Smartphones 250+ Billion US$ Mobile Content 8+ Billion US$ 4+ Billion US$ Sources: http://www.statista.com/ premium account. Typically up-to 2020 has been projected based on available data. This applies to the following page as well.
  • 12. Global Digitized Economy 2020 Managed Cloud Services Mobile 1,400+ Billion US$ (55% Data) Mobile App 30+ Billion US$ 4+ Billion US$ 12 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Fixed 440+ Billion US$ (60% BB) Mobile Banking 400+ Billion US$ Public Cloud 370+ Mobile Health Billion US$ 60+ Billion US$ M2M 140+ Billion US$ Mobile Digital Advertising 170+ Billion US$ (70+% of Total) Smartphones 250+ Billion US$ Mobile Content 8+ Billion US$ Another Trillion Dollar+ Economy in the most obvious Mobile Digital Services Sources: http://www.statista.com/ premium account. Typically up-to 2020 has been projected based on available data. This applies to the following page as well.
  • 13. Global Digitized Economy 2020 Mobile 1,400+ Billion US$ (55% Data) Mobile App 30+ Billion US$ 13 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Fixed 440+ Travel & Tourism Billion US$ (60% BB) Mobile Banking 400+ 9,800+ Billion US$ Billion US$ (<10% Public Online) Cloud 370+ Billion US$ Mobile Health 60+ Billion US$ M2M 140+ Billion US$ Mobile Digital Advertising 170+ Billion US$ (70+% of Total) Smartphones 250+ Billion US$ Mobile Content 8+ Billion US$ Another Trillion Dollar+ Economy in the most obvious Mobile Digital Services Entertainment & Media 2,500+ Billion US$ Internet of Things 7,000+ Billion US$ Residential Financial Transaction Volume 5,000+ Billion US$ (50+% Online Penetration) Note: 2013 had Globaly ca. 30% Internet Users Healthcare 11,000+ Billion MUedSici$ne 1,400+ Billion US$
  • 14. 14 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
  • 15. New Opportunities? - Privacy concerns opens up for Non-US Technology-based innovation. BIG BROTHER EFFECT 15 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
  • 16. “A strategic inflection point is an event that changes the way we think and act”, Andrew Grove 16 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
  • 17. Video content rules the internet Global Monthly usage in Exa-Bytes (Million GB). 30+ Billion Full Movie DVDs 4+ DVD Movies per person per month Full Movie DVDs per person per month Note: Asia, North America & Western Europe makes up for 80% of the Total Source: Cisco VNI 2013 – 2018; 2019 & 2020 is authors projection based on VNI. 17 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 150 Billion 20+ DVD Movies CDN 45+% of Total IP Traffic 60+% of Total IP Traffic in Metro
  • 18. Middle East & Africa towards 2020 Ca. 1 in 5 of World Population lives here! 18 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! 2020 MEA Projections: 4% of Global IP Traffic 17% of Total* is Metro-based Exa-Bytes 74% Consumer IP Video Traffic 14% of Total is CDN-based Source: Cisco VNI 2013 – 2018; 2019 & 2020 is authors projection based on VNI. Source: Pyramid Research 2013 – 2017; 2018 to 2020 is authors own projection. 5+% of Pop have fixed broadband 40% still on 2G 4+% likely to have LTE *Total always refers to the Total IP Traffic. Fixed Broadband Penetration
  • 19. 19 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
  • 20. Technologies to consider for the Digitized Society (MASSIVE) CONNECTIVITY NETWORKS CONTENT DELIVERY NETWORKS SOFTWARE DEFINABLE NETWORKS CLOUDS & VIRTUALIZATION INCL. NETWORK FUNCTIONS VIRTUALIZATION BIG DATA & MACHINE LEARNING AUTOMATION 20 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
  • 21. Massive Connectivity – Internet of Everything A critical enabler for the Digitized society! Smart lenses Body Sensors (exterior & interior) Smart “hearing” aids Smart glasses IA Intelligent Assistant (*) i-wearable Intelligent shoe Body Area Network (e.g., 5G) Ultra-small to small range network largely powered by the body. (You) Smart City Network (Environmental) Home Network (Personal) 21 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! iWC Security E.g., Connected Cars (Object-based) (*) AI will be replacing the need for traditional terminal equipment. Vehicular to Vehicular Vehicular to infrastructure SW Updates Small cell Small cell Small cell Small cell Small cell Small cell Classical Cellular Networks (Macro-Micro-Small) SMART DUST – MICRO-BASED WSN Background: Imad Mahgoub et al “Smart Dust: Sensor Network Applications, Architecture, and Design” and “Jan Holler et all “From Machine-to-Machine to the Internet-of-Things”.
  • 22. EXPONENTIAL COMPLEXITY 22 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
  • 23. 23 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! ORCHESTRATION & MANAGEMENT
  • 24. Transport Connectivity … Terastream … The Endgame? A critical enabler for the Digitized Society! Intelligence & Services Moves to Cloud & End-User Devices 100 Gbps DWDM Small cell Small cell Small cell 10 GbE Small cell Node Cellular MSAN R1 Pure Switching & IP Routing Target Min 100+ Mbps at consumer edge 24 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Illustration OLT Wholesale NG-CN R2 Data Center(s) w. Cloud, XaaS, SDN/NFV, CDN, … Note: Croatia Telekom (Deutsche Telekom), Croatia’s largest telecommunications company, first one to deploy the new TeraStream cloud-enabled transport & data center architecture (in partnership with Cisco). MSAN: Multi-Service Acccess Node, OLT: Optical Lite Termination. Sources: Peter Lothberg (DTAG) https://ripe67.ripe.net/presentations/131-ripe2-2.pdf & http://www.internetsociety.org/deploy360/blog/2014/01/videoslides-case-study-of-terastreams-ipv6-implementation-ripe67/
  • 25. “Softwared” Network …Cloud & Virtualization A critical enabler for the Digitized Society! DC Localization push Due to huge growth in video demand QoE Driven by growth in IP Video Streaming Demand $$$ QoE $$$ Cisco VNI: 60+% of all IP Traffic is projected to be Metro-based and never floods the long-haul networks. Expectations are that this ration will not change much over period to 2020. BELL LABS “METRO NETWORK TRAFFIC GROWTH: AN ARCHITECTURE IMPACT STUDY” indicates as much as 75% by 2017 is Metro-based. SDN: Software Definable Network, NVF: Network Virtual Function, EaaS: Everything as a Service, CDN: Content Delivery Network, v-ABC: virtualized-ABC, RAN: Radio Access Network, BBU: Base Band Unit. Gary Lee “Cloud Networking 25 “, Dubai, 2014. September Matt Portnoy 2014 “Virtualization Dr. Kim Kyllesbech Essentials:, Larsen, Digitized! 2012. Metro Transport NG Core Metro Access & Aggregation Localized Data Centers (optional) Metro Data Centers (optional) (Inter)National Data Center(s) SDN NVF v-CDN v-GW v-VAS v-RAN-BBU Private-Cloud Public-Cloud EaaS, vMSS, vGW, vBSS, … Caching, storage, … Public-Cloud Infrastructure- Cloud End-User QoE, ROI & Transport Cost Optimization required Increased Operational Efficiency Improve Cost per Byte v-MSAN Caching (e.g., video), local storage $$$ $$$
  • 26. Economics of Cloud, Virtualization & SDN A critical enabler for the Digitized Society! Mobile Operator* Addressable Cost vRAN ? 25% Capex A good & reliable Why Cloud (& Virtualization) Core IT Infrastructure At least Greenfield Deployment! Opex** vRAN ? 15% Core, Transport IT Infrastructure (*) Mature market mobile operation. (**) Excluding personnel cost. Note 1: that for ISPs or other types of internet service companies the cost structure impacted by Cloud & Virtualization likely would be a lot higher. Note 2: An excellent treatment of Cloud Economics can be found in Harms & Yamartino’s “The Economics of the Cloud” (Microsoft 2010). 26 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Economics of Scale Lower cost per Server Increased Utilization More processing per Server Enabling Multi-tenancy Lower cost per tenant transport infrastructure required More Agile & Elastic Service Delivery Increased End-User QoE Its not for Free! Improved ROI? Off-the-Shelf HW solutions Lower supplier lock-in
  • 27. Customer Experience Management A critical enabler for the Digitized Society! Satisfaction Dis-satisfaction Expectations unfulfilled 27 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Network Experience Other Behavioral Etc.. Data QoE Device Voice SMS Data Financial Data CDR CSSR Speed Customer Experience Network State Signaling Load Mobility Segment Data Expectations fulfilled Response Length #Call back Resolution Social Media Twitter Facebook Blogs Real-Time Customer Value Management Txt Logs Loss Content Dynamics Location Market Surveys (online, phone, etc) (E)mails URL Click dynamics LinkedIn Post Code Demo graphics Bill Upload Fraud Risk Telecom Perspective (illustration) Spend dynamic Activity Loyalty Inter actions Alarms
  • 28. Big Data, Machine Learning & Automation A critical enabler for the Digitized Society! Visualization Layer - Administration - Data Analyst - Visualization Tools Platform Management Layer e.g., for Hadoop Open Source - Zookeeper - Pig, Hive, Sqoop - MapReduce PaaS Storage Layer - NoSQL DBs (PaaS) - Distributed File System (e.g., HDFS) Infrastructure Layer - Bare Metal Clustered Workstations - Virtual Cloud Services Security Layer Monitoring Layer BFaaS Analytics Engines - Statistic tools - Text analytics - Search engine - RT Machine learning Data Warehouse(s) - Analytic Appliances Ingestion Layer Data Sources Unstructured Data Relational DBs Video Images Sensors Need to process Unstructured data streams Source: N. Sawant & H. Shah “Big Data Application Architecture”, 2013, Byron Ellis “Real-Time Analytics”, 2014. Note: Hadoop is not the most optimal solution for large-scale real-time analytics or analysis including iterative machine-learning algorithms. BFaaS: Business Function as a Service, DaaS: Data as a Service, PaaS: Platform as a Service, IaaS: Infrastructure as a Service. 28 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Near-RT & real-RT Analysis of massive data amounts Storage & Retrieval across a diverse ecosystems Monetizing Data IaaS IaaS PaaS DaaS IaaS IaaS
  • 29. Big Data … a business opportunity? Source: Worldwide; Wikibon; 2013 Wikibon (2013 & 2017), 2020 data based on authors own assessment. 29 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! RISKS PRIVACY ISSUES LACK OF SKILLS INFLATED EXPECTATIONS Note this does not reflect the value of applying data mining.
  • 30. Customers don’t like to pay for digital services! (particular if perceived free in the physical world) Privacy requirements will prevent full data monetization .. What Was & Is, Will Not Remain! Global Content Players with well established & trusted billing platforms will become tough competitors to established MNOs Crowded & Fragmented market place for digital services! 30 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized! Failure to monetize The Digital Society
  • 31. Digitization challenges for Emerging Markets Backhaul, Backbone & International – Availability & Quality Different use cases/scale than mature markets. Relative slow cellular broadband uptake. Kiosk-based cloud access, SME & Gov. focus Relative long re-investment cycles (e.g., write-off periods). Public Funding, World Bank, etc Long ROI timelines for mass digitization. Initial focus: Private Cloud, eGov, SME, etc… Critical mass of ICT skills. 31 Dubai, September 2014 Dr. Kim Kyllesbech Larsen, Digitized!
  • 32. THANK YOU! Dr. Kim Kyllesbech Larsen Follow Dr. Kim on Twitter @KimKLarsen Blog: www.TechNEconomyBlog.com Presentations: http://www.slideshare.net/KimKyllesbechLarsen Acknowledgement: I am indebted to my wife Eva Varadi for her great support, patience and understanding during the creation of this presentation. Further, I would also like to thank Chetan Sharma (Future Mobile Forward) for his incredible inspirational papers on “The 4th Wave”.

Hinweis der Redaktion

  1. Concerns about US Intelligence Services Data Mining (and “Spying”) on all internet traffic is creating a push for a segmented internet with more control and independence from US “controlled” internet. We will see non-US Entrepreneurs developing new (and copying existing, e.g., China!) content and internet services that does not (or at leased minimize) US control and exposure. The will be substantial money in Europe for this development.
  2. With Big Data is ALWAYS understood to data situations that match one or more of the 3 V’s = VOLUME, VARIETY & VELOCITY. It should be noted that Big Data term should only be used for situations where conventional data acquisition and analysis architectures cannot effectively solve business critical problems. Typical mobile industry data problems might actually not fall into this category as their data are dominated by well structured & semi-structured transactional data that can be well handled by classical systems.
  3. Virtualization was first investigated by IBM back in the 60’s (i.e., its not a new concept). The formal description of virtualization was provided by Popek & Goldberg in 1974 in their seminal paper “Formal Requirements for Virtualizable Third Generation Architectures”, Communications of the ACM, Vol. 17, Number 7, July 1974. Also Cloud concepts goes all the way back to the 50’s. However, maybe contrary to some beliefs as virtualization became increasingly feasible in modern computing infrastructures so did the Cloud. In other words virtualization is an important trigger point for Cloud Computing.
  4. While the Capex potential of RAN virtualization (vRAN) should be fairly obvious the Opex savings might be more problematic (apart from possible Maintenance). A site needs less real estate as the non-RF electronics (BBU) & controllers moves away from the site. However, whether site related savings can be realized might depend on the site specific contractual details.
  5. Mobile / Fixed Telco view! Blue & Green bubbles is pretty basic BI carried out today in various forms of sophistication. Not always correlated between the various areas. Orange bubbles are analyzed as well but less frequently correlated with other data and more limited to special areas (i.e., engineering, marketing, etc..) Red bubbles rarely figures on operators analysis, i..e, basically this is all the (so-called) unstructured data stuff that is difficult (or not possible) to tackle with existing classical CRM and data warehouses. It should be noted that while the unstructured stuff might be important the load from such events are a lot less than the transactional data coming from the mobile users interactions unless the mobile operators start tracking the same data as google, FB etc..
  6. MIGHT BE TOO TECHNICAL (possible skip) … In all effect when we talk about Big Data scenarios and architectures/systems we really mean systems that can handle BIG DATA PROBLEMS in terms of Volume, Variety & Velocity of data that CANNOT be well (computationally efficient and/or economically efficient) handled by a classical systems/data-warehouses (optimized for acquiring, analyzing and storing structured data) with near-RT requirements. Note Hadoop can also improve the modernization of classical data warehouses by bridging Big Data with classical data acquisition, analysis and store.
  7. Turn around the itune shops