This report talks about today’s Internet growth and provides an in-depth look for the following new trends: 1) review of Internet stats and notes that Internet growth remains robust and rapid mobile adoption is still in early stages; 2) run through a number of examples of business models that are being re-imagined and re-invented thanks to mobile and social; 3) highlight mixed economic trends and 4) observe that while there’s a lot to be excited about in technology, there are things to be worried about regarding America’s financial situation.
Finding it difficult to narrow down the key strategies to designing an informative and attractive academic poster? Learn helpful design techniques and explore several good and bad examples posters.
PDF, audio, and voiceover are now available on designintechreport.wordpress.com
Today’s most beloved technology products and services balance design and engineering in a way that perfectly blends form and function. Businesses started by designers have created billions of dollars of value, are raising billions in capital, and VC firms increasingly see the importance of design. The third annual Design in Tech Report examines how design trends are revolutionizing the entrepreneurial and corporate ecosystems in tech. This report covers related M&A activity, new patterns in creativity × business, and the rise of computational design.
Finding it difficult to narrow down the key strategies to designing an informative and attractive academic poster? Learn helpful design techniques and explore several good and bad examples posters.
PDF, audio, and voiceover are now available on designintechreport.wordpress.com
Today’s most beloved technology products and services balance design and engineering in a way that perfectly blends form and function. Businesses started by designers have created billions of dollars of value, are raising billions in capital, and VC firms increasingly see the importance of design. The third annual Design in Tech Report examines how design trends are revolutionizing the entrepreneurial and corporate ecosystems in tech. This report covers related M&A activity, new patterns in creativity × business, and the rise of computational design.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
2. Outline
1) Basic Stats – Internet Growth Remains Robust,
Rapid Mobile Adoption Still in Early Stages
2) Re-Imagination – of Nearly Everything
3) Economy – Mixed Trends, With Negative Bias
4) ‘USA, Inc.’ – A Lot to be Excited About in Tech, A
Lot to be Worried about in Other Areas
5) Bubble – or Not?
2
3. BASIC STATS – INTERNET GROWTH
REMAINS ROBUST, RAPID MOBILE
ADOPTION STILL IN EARLY STAGES
3
5. 2.3B Global Internet Users in 2011* –
8% Growth*, Driven by Emerging Markets
2008-2011
Internet User 2011 Internet Population
Rank Country Adds (MMs) Users (MMs) Y/Y Growth Penetration
1 China 215 513 12% 38%
2 India 69 121 38 10
3 Indonesia 37 55 22 23
4 Philippines 28 34 44 35
5 Nigeria 21 45 --* 28
6 Mexico 19 42 19 37
7 Russia 16 61 3 43
8 USA 15 245 1 79
9 Iran 14 37 --* 48
10 Turkey 11 36 26 49
Top 10 444 1,189 12% 32%
World 663 2,250 8% 32%
Note: *Nigeria / Iran data as of 12/10; Other 8 countries’ data as of 12/11, 2.3B global Internet users and 8% Y/Y growth rate based on the
latest available data (most as of 12/11, some as of 12/10). Source: United Nations / International Telecommunications Union, 5
internetworldstats.com.
9. iPods Changed Media Industry…iPhones Ramped Even
Faster…iPad Growth (3x iPhone) Leaves “Siblings” in Dust
First 8 Quarters Cumulative Unit Shipments, iPod vs. iPhone vs. iPad
1,400
70,000
iPad
iPad
iPad iPhone
iPhone
iPhone iPod
iPod
iPod
20,000
1,200
60,000
Global Unit Shipments (000)
Global Unit Shipments (000)
1,000
50,000
15,000
800
40,000
10,000
600
30,000
400
20,000
5,000
200
10,000
000
000 1
11 2
22 3
33 4
44 5
55 6
6 7
7 8
8
Quarters After Launch
Quarters After Launch
Quarters After Launch
Source: Apple, as of CQ1:12 (8 quarters post iPad launch). 9
10. Android ‘Phone’ Adoption Has Ramped Even Faster –
4x iPhone
First 13 Quarters Cumulative Global Android & iPhone Unit Shipments
300
Android iPhone
Global Cumulative Unit Shipments (MM)
250
200
150
100
50
0
0 1 2 3 4 5 6 7 8 9 10 11 12 13
Quarters After Launch
Source: Gartner, Morgan Stanley Research, as of Q4:11. 10
11. Despite Tremendous Ramp So Far,
Smartphone User Adoption Has Huge Upside
Global Smartphone vs. Mobile Phone Subscriptions, Q4:11
7,000 6.1B Mobile Phone
Subscriptions
6,000
5,000
Global Subscriptions (MM)
4,000
3,000
2,000
953MM
Smartphone
Subscriptions
1,000
0
Smartphone Mobile Phone
Source: Mobile phone subscriptions per Informa (as of Q4:11), Smartphone subscriptions estimate based on Morgan Stanley Research’s
estimated smartphone user as % of total mobile user at the end of 2011 (16%).
Note: While there are 1B global 3G subscribers as of Q4:11, not all of them were smartphone users. One user may have multiple mobile 11
subscriptions, therefore actual user #s may be lower than subscriber #s.
12. Impressive 29% of USA Adults Own Tablet / eReader,
Up from 2% Less Than Three Years Ago
% of USA Adults Who Own Tablet Computers or eReaders, 4/09 – 1/12
35%
USA Adults that own tablet computers
29%
30%
25%
or eReaders (%)
20%
15%
10%
5%
2%
0%
4/09 9/09 5/10 9/10 11/10 5/11 8/11 12/11 1/12
Source: Pew Research Center, 1/12.
12
14. Good News =
Global Mobile Traffic Growing Rapidly to 10% of Internet Traffic
Global Mobile Traffic as % of Total Internet Traffic, 12/08 – 5/12
15%
10% in 5/12
% of Internet Traffic
10%
4% in 12/10
5% 1% in 12/09
0%
12/08 4/09 8/09 12/09 4/10 8/10 12/10 4/11 8/11 12/11 4/12
Source: StatCounter Global Stats. 14
15. Good News =
Mobile @ 8% of USA eCommerce & Helping Accelerate Growth
USA eCommerce Y/Y Growth vs. Mobile Commerce as % of Total
eCommerce, Q1:10 – Q1:12
20% 20%
USA eCommerce Y/Y Growth
Mobile Commerce as % of Total
USA Mobile Commerce as % of eCommerce
eCommerce Y/Y Growth Rate
15% 15%
eCommerce
10% 10%
5% 5%
0% 0%
Q1:10 Q2:10 Q3:10 Q4:10 Q1:11 Q2:11 Q3:11 Q4:11 Q1:12
Source: comScore. 15
16. Good News =
Mobile Monetization Growing Rapidly (71% Apps, 29% Ads)
Global Mobile App + Advertising Revenue, 2008 vs. 2011E
$15
Mobile Apps
Mobile Ad + Apps Spending ($B)
$12B
Mobile Advertising
$10
$5
$0.7B
$0
2008 2009 2010 2011E
Source: Gartner. CAGR is compound annual growth rate.
Note: Apple has paid >$3B $’s to developers as of 9/11, implying gross app market revenue of $4B in 3 years; Google indicated during
CQ3 earnings call that it expects $2.5B mobile ad revenue in 2011E 16
17. Good News =
Material Upside for Mobile Ad Spend vs. Mobile Usage
% of Time Spent in Media vs. % of Advertising Spending, USA 2011
Time Spent Ad Spend
50%
% of Total Media Consumption Time
Internet Ad Mobile Ad
or Advertising Spending
40% 43% 42% = $30B* = $1.6B*
30%
25% 26% ~$20B+
20% 22% Opportunity
in USA
15%
10%
11% 10%
7%
1%
0%
Print Radio TV Internet Mobile
Note: *Internet (excl. mobile) advertising reached $30B in USA in 2011 per IAB, Mobile advertising reached $1.6B per IAB. Print includes
newspaper and magazine. $20B opportunity calculated assuming Internet and Mobile ad spend share equal their respective time spent
share. Source: Time spent and ad spend share data eMarketer, 12/11, Internet and mobile ad dollar spent amount per IAB. 17
18. Good / Bad News – Rapidly Growing Mobile Internet Usage Surpassed
More Highly Monetized Desktop Internet Usage in May, 2012, in India
India Internet Traffic by Type, Desktop vs. Mobile, 12/08 – 5/12
100%
80%
% of Internet Traffic
60% Desktop Internet
Mobile Internet
40%
20%
0%
12/08 4/09 8/09 12/09 4/10 8/10 12/10 4/11 8/11 12/11 4/12
Source: StatCounter Global Stats. 18
19. Bad News =
eCPMs 5x Lower on Mobile than Desktop
Effective CPM, Desktop Internet* vs. Mobile Internet**
Desktop Internet* $3.50
Mobile Internet** $0.75
Mobile eCPM by Category
Weather $1.24
Education $1.17
Lifestyle $0.89
Utilities $0.68
Health & Fitness $0.68
Entertainment $0.68
Medical $0.63
Reference $0.55
Games $0.51
Navigation $0.49
$- $1 $2 $3 $4
Note: * Desktop Internet is a weighted average CPM calculation based on comScore Display ad share data and Vivaki CPM by category data as
of Q3:11. **Mobile Internet is a simple average eCPM calculation based on Mobclix Exchange USA data as of 3/12. 19
20. Bad News =
ARPU (Average Revenue per User) 1.7-5x Lower on Mobile than Desktop
ARPU Desktop Mobile Desktop ARPU
Company
Definition ARPU ARPU / Mobile ARPU
Ad Revenue per
Pandora User $6.62 $3.87 1.7x
(Trailing 12-Month)
Revenue per
Tencent Paying User $58.95 $17.61 3.3x
(Annualized)
Bookings per Daily
Zynga Active User $25.00 $5.00* 5.0x
(Annualized)
Note: *Zynga data are estimates. All data as of 5/12. Source: Pandora, Tencent, Zynga. 20
21. Google – Mobile Growth Helping Boost Clicks but Reducing Cost per
Click thus Constraining Revenue Growth
Q1:11 Q2:11 Q3:11 Q4:11 Q1:12
Gross Advertising Revenue
($MM) $8,306 $8,716 $9,335 $10,174 $10,225
Y/Y Growth 28% 33% 33% 25% 23%
Aggregate Paid Clicks (MM) 15,245 15,004 16,876 19,661 21,116
Y/Y Growth 17% 18% 28% 35% 39%
Cost per Click (CPC - $) $0.54 $0.58 $0.55 $0.52 $0.48
Y/Y Growth 10% 12% 4% (8%) (12%)
Q/Q Growth (3%) 7% (5%) (8%) (6%)
Source: Google, Paid clicks and CPC data per Morgan Stanley Research estimates. 21
23. Good News = Mobile ARPU Can Rise Rapidly, as Evinced by
Japan Mobile Game Maker GREE
GREE Annualized Mobile ARPU (per Registered Member),
Q3:09 – Q1:12
$30
7/11 –
New Game ‘Tanken $24
Annualized ARPU ($)
Driland’ Introduced $23
$20
$17
$12
$10
$10 $9
$7 $8 $8
$6 $7
$0
Q3:09 Q4:09 Q1:10 Q2:10 Q3:10 Q4:10 Q1:11 Q2:11 Q3:11 Q4:11 Q1:12
Note: GREE is a Japanese social / mobile gaming company. Source: GREE, Mia Nagasaka, Morgan Stanley Research. 23
24. Good News = Mobile ARPU Should Surpass Desktop ARPU, as
Evinced by Japan Mobile Game Maker CyberAgent
CyberAgent Ameba Annualized ARPU* (Per Paying User),
Desktop vs. Mobile, 6/09 – 12/11
$450
12/11
Average Revenue per Paying User ($)
$400 Desktop ARPU Mobile ARPU = $418
$350 Mobile ARPU
$300
$250
$200
$150
$100
$50 8/09
Mobile ARPU = $60
$0
6/09 9/09 12/09 3/10 6/10 9/10 12/10 3/11 6/11 9/11 12/11
Note: CyberAgent is a Japanese social / mobile gaming company. *Users can purchase 1 AmeGold for 1 Japanese Yen. Users could also earn a
small amount of AmeGold from completing certain in-game tasks. Source: CyberAgent. 24
25. Mobile Monetization Good News = Desktop Internet
Proved Ad $ Follow Eyeballs, it Just Takes Time
1995E 2011E
Global Internet Ad Revenue $55MM $73B
Ad Revenue per User $9 $49
Global Internet Users 6MM 1.5B
Mobile Monetization has More Going for It than Early Desktop Monetization Had:
- Very Rapid User Growth
- App + In-App Monetization (44% of apps are free, 56% of apps priced at $3.77 average)
- Rapid Growth of Mobile Commerce + Payment Systems
- Large Number of Innovative Developers
- Broad Base of Sophisticated Advertisers + Marketers
- Highly Engaged Consumers Assisted by Social + Curation Tools
- Rapid Acceptance of Two Device Platforms – Smartphones + Tablets
- ‘Essential Utility’ / Ultra Useful Apps Being Created
- Lessons from Developed Mobile Markets like Japan – Using Japanese Market Pattern Recognition,
Mobile Monetization Levels in USA Could Surpass Desktop Within 1-3 Years
Source: Global online ad revenue per Jupiter Communications (1995), ZenithOptimedia (2011). Internet users per Morgan Stanley estimate
(1995) and comScore (2011). We note that comScore reports a lower global Internet user # than International Telecommunications Union.
App price data per 148apps / AppBrain. 25
27. Facebook Open Graph Distribution –
Example of Onboarding 17MM New Users in 7 Days*!
Viddy Monthly Active Users (MAU) and Daily Active Users (DAU) on
Facebook Platform, 3/31/12 – 5/29/12
40
Viddy Monthly & Daily Active Users
30
on Facebook (MM)
4/24 – Facebook Begins
Highlighting Viddy in
News Feed
20
Monthly Active Users
Daily Active Users
10
0
3/31 4/7 4/14 4/21 4/28 5/5 5/12 5/19 5/26
Note:* Viddy added 17MM new monthly active users between 4/24 (when Facebook began highlighting Viddy in the newsfeed) and 5/1.
27
Source: AppData.
28. Apple App Store Distribution –
iTunes App Store Driving 46MM+* Downloads per Day
First 15 Quarters Cumulative # of Downloads, iTunes Music vs. Apps
30,000
2,500
Apps Downloaded iTunes Songs Downloaded
Cumulative # of Songs / Apps Downloaded (MM)
25,000
2,000
20,000
1,500
15,000
1,000
10,000
500
5,000
0
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Quarters After Launch
Note: * 46MM daily app downloads calculation based on days between Apple announced milestones (18B downloads
as of 10/4/11 and 25B downloads as of 3/5/12). iTunes Music store launched in CQ2:03, App Store launched in 28
CQ3:08. Source: KPCB estimates based on Apple data, as of CQ1:12.
29. RE-IMAGINATION OF NEARLY
EVERYTHING* –
POWERED BY NEW DEVICES +
CONNECTIVITY + UI + BEAUTY –
WHERE WE ARE NOW…
*Note that this section includes more slides than were presented at D10 Conference, May 30, 2012. 29
30. First Generation of Re-Imagination - After 125 Years,
Landlines Were Surpassed by Mobiles in 2002
Global Fixed Telephone Lines vs. Mobile Subscriptions, 1994 - 2009
5,000
Global Installed Base (MMs)
Fixed Telephone Lines 2009
4,000 4.7B Mobile
Mobile Subscriptions
Subscribers
3,000
2002: Inflection Point 2006
2,000 Mobiles > Landlines Landlines
Peaked at
1.3B
1,000
0
1994 1996 1998 2000 2002 2004 2006 2008
Source: International Telecommunications Union. 30
31. First Generation of Re-Imagination – After 244 Years,
Encyclopedia Britannica is Going Out of Print in 2012
Encyclopedia Britannica Hard Copy Sales, 1990 – 2011
150
1990 – Sales
Peaked at 120K/year
1993 – Microsoft Introduced
Annual Hard Copy Sales (000)
Encarta Encyclopedia for PC
@ $99
100
2001 – Wikipedia Founded, 2012 – Encyclopedia
Today* Wikipedia Has Britannica Announced
470MM Monthly Unique End of Print Editions
50 Users
2008 – Microsoft
Shut Down Encarta
0
1990 1993 1996 1999 2002 2005 2008 2011
Note: *as of 4/12, per comScore global data.
Source: Kellog School of Management, Shane Greenstein and Michelle Devereux, “The Crisis at Encyclopedia Britannica.” 31
32. First Generation of Re-Imagination – After 305 Years,*
Newspaper Ad Revenue Was Surpassed by Internet in 2010
U.S. Newspaper (Print) Advertising vs. Internet Advertising Spending, 1995 - 2010
$50
U.S. Advertising Spend ($MM)
$40
$30
$20
$10
$
1995 1997 1999 2001 2003 2005 2007 2009
Newspaper (Print) Internet
Newspaper Trendline (2006-2010) Internet Trendline (2006-2010)
Note: *America’s first newspaper ad appeared in 1704 in a Boston local newspaper, per AdAge. Internet advertising includes online
newspaper advertising. Source: Print newspaper ad spending per Newspaper Association of America (NAA); Internet ad spending per 32
Interactive Advertising Bureau (IAB).
35. …Re-Imagination of Connectivity
We hope to rewire the way people spread and consume
information…We think a more open and connected world
will help create a stronger economy with more authentic
businesses that build better products and services.
- Mark Zuckerberg, Founder / CEO, Facebook
Letter to Potential Shareholders, May 2012
35
36. Re-Imagination of Life Stories…
THEN… NOW…
(Facebook Timeline)
Biographies / Item Exhibitions For Broad Personalized Media Discovery Feed /
Famous People or Loved Ones Automatically Created / Widely Accessible
36
37. Re-Imagination of News + Information Flow…
THEN… NOW…
(Twitter)
Delayed / Dedicated Reporters + Cameramen / Real-Time / Citizen Reporting via
Regional or National Reach Mobile Devices / Global Reach
37
39. Re-Imagination of Drawing…
THEN… NOW…
(Paper by Fiftythree…)
Dedicated Canvas / Paint Supplies / Studios Reusable Canvas (Screen) / Creating Art
/ Limited Distribution Anywhere Anytime / Digitally Enhanced
Creation Tools / Instant Sharing
39
40. Re-Imagination of Photography…
THEN… NOW…
(Instagr.am / Camera+ / Hipstamatic…)
Dedicated Camera / Manually Always With You Camera (Smartphone) /
Transfer Digital Files / Develop Films Instant Digital Effects / Share / Sync / Discover
40
45. Re-Imagination of Music…
THEN… NOW…
(Spotify…)
Buy Albums + CDs in Stores / Discovery of Music Through Friends + Experts /
Playback via Dedicated Players Instant On-Demand Streaming on Internet-
Enabled Devices
45
46. Re-Imagination of Sound…
THEN… NOW…
(SoundCloud)
Tape Recorder / Hard to Edit / Share Record / Edit / Upload / Playback Anywhere /
Anytime / On Any Device / Playlist sharing /
Discovery
46
47. Re-Imagination of Artists / Concerts…
THEN… NOW…
(Tupac @ Coachella…)
Big Screen Tributes 3D / Life-Like / Programmable Hologram /
Bringing Past Icons Back to Life
47
49. Re-Imagination of Video Creation / Production…
THEN… NOW…
(SocialCam / Viddy / GoPro…)
Dedicated Set / Camera / Live Digital Effects / Wearable Recording
Lighting / Editing Equipment Device / Real-Time Upload / Discovery
49
50. Re-Imagination of Distribution + Monetization for ‘Talent’…
THEN… NOW…
(Glenn Beck on Fox News) (GBTV - Digital)
With 300K Subscribers + Lower Production Costs,
GB Making Materially More Money
50
51. Re-Imagination of Home Entertainment…
THEN… NOW…
(Chill…)
Lean Back / Lean Forward Curl Up – Visual Layout / Social Discovery /
Distribution / Interaction
51
52. Re-Imagination of TV…
THEN… NOW…
(YouTube Channels / Bleacher Team Stream…)
Linear Programming / Pre-Set Channels / On Demand Personalized Content on Big Screen
Little Control Over Content
52
53. Re-Imagination of Communication…
THEN… NOW…
(Voxer…)
Dedicated Devices / Limited Push-To-Talk / Voice Message /
Function & Range / Intrusive Picture / Text / Location / Group Chat
53
54. Re-Imagination of Navigation + Live Traffic Info…
THEN… NOW…
(Waze)
Physical Copies of Map in Car / User-Generated Digital Map /
TV, Radio Reporting of Traffic Info Live Crowd-Sourced Traffic Data
54
55. Re-Imagination of Sports Info…
THEN… NOW…
(Bleacher Report)
Professional Commentators / Reporters / Anyone Can Be a Contributor / Opinion-Oriented
Limited Coverage & Reach Analysis / Multimedia / Social & Mobile Enabled
55
56. Re-Imagination of Home Improvement…
THEN… NOW…
(Houzz / One Kings Lane…)
Magazines / Cable TV Channels / Communication Platform for Designers &
Limited Interaction With Consumers Consumers / Share / Discover & Click-And-Buy
56
57. Re-Imagination of Calling a Cab…
THEN… NOW…
(Uber)
Long Lines During Rush Hours / One-Tap Taxi Call /
Rain / Some Areas May Not Location-Aware / Electronic Payment
Have Taxis Roaming on Streets
57
58. Re-Imagination of Cars…
THEN… NOW…
(Hybrid / Electric Cars)
Gasoline / Diesel Powered Internal Plug-in Electrical Powertrain / Regenerative Brake /
Combustion Engine With Exhaust Solar Panel Roof / Little-to-Zero Emission
58
59. Re-Imagination of Yellow Pages…
THEN… NOW…
(Yelp…)
Big Heavy Printed Business Listings / No User Reviews / Pictures / Recommendations /
Reviews / No Easy Search Feature Location-Aware / Easily Searchable
59
60. Re-Imagination of Coupons + Local Services…
THEN… NOW…
(Groupon…)
Non-Personalized / Smaller Discounts / Personalized / Location-Aware /
Easily Lost or Forgotten Instant Deals / Group-buying Discount
60
64. Re-Imagination of Marketplaces…
THEN… NOW…
(Etsy)
Tent + Pickup Truck @ Integrated Platform For Listings / Advertising /
Street Fairs Payment / Inventory Management
64
65. Re-Imagination of Manufacturing…
THEN… NOW…
(Zazzle / Shapeways)
Mass Production of High-Volume Customized / Personalized Design / 3D Printing
Standardized Items Process
65
66. Re-Imagination of Instant Gratification / Personal
Services...
THEN… NOW…
(Zaarly / TaskRabbit / Fiverr)
Mass Production of High-Volume One Click & Delivered to You
Standardized Items
66 66
67. Re-Imagination of Idea Building / Funding…
THEN… NOW…
(KickStarter)
Flyers / Loudspeakers / Dinners / Checks Online / Social Distribution /
Real-Time Progress
67
68. Re-Imagination of Personal Borrowing / Lending…
THEN… NOW…
(Lending Club…)
Borrowers – Paper Application / Lengthy Borrowers – Online Application / Funded in Days /
Approval Process / High Interest Rates Lower Interest Rates
Investors – Little Access For Retail Investors / Investors – Easy Customization / Diversification /
No Customization Based on Risk Tolerance Better Returns
68
69. Re-Imagination of Business Collaboration…
THEN… NOW…
(Salesforce.com / Yammer / Jive…)
Meetings / Whiteboards / Online Working Groups / Data Sharing /
Teleconferences Instant Messages
69
70. Re-Imagination of Recruiting / Hiring…
THEN… NOW…
(LinkedIn)
Job Fairs / Campus Recruiting Events / Online Resumes / Social Relevancy For
Paper Resumes Recruiters / Searchable Skill Sets /
Endorsements / Recommendations
70
71. Re-Imagination of Focus Groups…
THEN… NOW…
(Affectiva)
Fixed Time / Location / Small Group / Real-Time Video Emotion Detection +
No Real-Time Feedback Analysis / Effortless Participation / Data Capture /
‘Moodometer’
71
72. Re-Imagination of Data…
THEN… SOON…
Store Everything Because We Can Do It Data Obesity / Data Quality Issues
Inexpensively How To Find a Needle in a Haystack?
Source: Mike Abbott, KPCB. 72
73. Re-Imagination of Signatures…
THEN… NOW…
(DocuSign)
Scan / Fax / Mail to Return Electronic Documents / Secure Audit
Signature Page Trail / Instant E-Signature
73
74. Re-Imagination of Healthcare Access…
THEN… NOW…
(ZocDoc / Teladoc)
Call to Make Appointments / Days or On-Demand Access to Doctors in Minutes or
Weeks to See Doctors Same Day / In Person or Via Phone Video Call
74
75. Re-Imagination of Learning…
THEN… NOW…
From learning by listening to learning by doing…
Education and learning will become as much fun as
videogames. And we call it ‘full body learning.’
- Bing Gordon
Partner, KPCB
75
79. Re-Imagination of Government Subsidies…
THEN… NOW…
Gather in Town / Wait in Line 200MM+ Farmers in India Receive
to Receive Subsidies Government Subsidies Via Mobile Devices*
Note: There are 90MM Kisan credit card users and 118MM job card users, both of which do not require bank accounts but utilize
mobile phones as identity verification / payment confirmation, per Ministry of Rural Development, Government of India. 79
85. Magnitude of Upcoming Change Will be Stunning -
We are Still in Spring Training
• Nearly Ubiquitous High-Speed Wireless Access in Developed Countries
• Unprecedented Global Technology Innovation
• Ultra Competitive Markets for Mobile Operating Systems + Devices
• Broadly Accepted ‘Social Graphs’ / Information Transparency
• Fearless (& Connected) Entrepreneurs
• Difficult ‘What Do I Have to Lose’ Economic Environment for Many
• Available (& Experienced) Capital
• Fearless (& Connected) Consumers
• Inexpensive Devices / Access / Services (Apps)
• Ability to Reach Millions of New Users in Record (& Accelerating) Time
• ‘Social Emerging as Starting Distribution Point for Content,’ (Brian Norgard, Chill)
• Aggressive (and Informed) ‘On My Watch’ Executives at ‘Traditional’ Companies
• Unprecedented Combo of Focus on Technology AND Design
• Nearly ‘Plug & Play’ Environment For Entrepreneurs – Marketplaces / Web Services /
Distributed Work / Innovative Productivity Tools / Low ‘Start Up’ Cost
• Beautiful / Relevant / Personalized / Curated Content for Consumers
85
86. Addressable Market For Re-Imagination –
Aggregate Market Cap of Global Public Companies = $36+ Trillion*
2012 2011 2011
Market Revenue EBITDA
Cap ($B) ($B) ($B) Top Companies by Mkt Cap
Financials $6,855 $4,647 $1,035 ICBC, China Construction Bank, Wells Fargo
Consumer Staples 4,386 3,972 543 Wal-Mart, Nestle, P&G, Coca-Cola
Information Technology 3,966 2,298 422 Apple, Microsoft, IBM, Google, Samsung
Energy 3,926 6,652 1,068 Exxon Mobil, PetroChina, Shell, Chevron
Consumer Discretionary 3,734 4,734 624 Toyota, Amazon.com, McDonald's, Walt Disney
Health Care 3,380 2,204 455 Johnson & Johnson, Pfizer, Roche, Novartis
Industrials 3,198 4,407 608 General Electric, Siemens, UPS
Materials 3,129 2,607 712 BHP Billiton, Rio Tinto, Vale
Telecommunication Services 2,572 2,045 699 China Mobile, AT&T, Telefonica, Vodafone
Utilities 1,188 1,501 315 GDF Suez, National Grid, E.ON, EDF
Total $36,335 $35,066 $6,483
Note: *Based on 3,000 global publicly traded companies as defined by Morgan Stanley Research’s coverage universe. **EBITDA
is earnings before interest, tax, depreciation and amortization. Source: Morgan Stanley Research. Data as of 5/23/12. 86
87. NET, LOTS OF STUFF BEING RE-
IMAGINED AND THERE’S A LOT MORE…
87
88. Consumer Internet ‘White Space’
1) Ear (+ Body) - owing to better devices
(wireless Bluetooth) / services (Siri /
Spotify / Soundcloud...) / products (Up…)
2) Car – 52 minutes per day by 144MM
Americans (76% alone)* spent in cars –
largely untapped
3) TV – 3+ hours per day spent in front of
TVs** – way better devices / interfaces /
interfaces coming rapidly...Apple &
Google footsteps raising bar…50MM+
Americans have Internet-enabled TVs
Source: *US Census Bureau, **BLS, Morgan Stanley Research estimates. 88
90. Stock Markets = Often Leading Indicators of Economic Activity,
Recent 10-Week Trendline Not Encouraging...
Stock / Commodity Markets Performance (% Change From 1/10), 1/10 – 5/12
180%
160%
Index Value (1/1/2010 = 100%)
140%
120%
100%
80%
60%
1/10 3/10 5/10 7/10 9/10 11/10 1/11 3/11 5/11 7/11 9/11 11/11 1/12 3/12 5/12
S&P500 NASDAQ China Shanghai Composite MSCI Europe Oil Gold
Note: All values are indexed to 1 (100%) on Jan 1, 2010. Data as of 5/25/12.
Source: Bloomberg, Yahoo! Finance, FactSet. 90
91. Consumer Confidence =
Near Four-Year Highs, Though Still Below 30-Year Average
The Conference Board Consumer Confidence Index, 1978 – 2012 YTD
160
140 30 Year
Average
5/12
Consumer Confidence Index (1985=100)
120 CCI = 92.2
CCI = 64.9
100
80
60
40
2/09 Trough
CCI = 25.3
20
0
1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
Note: Index started in 1967 / benchmarked to 1985=100. The Index is calculated each month on the basis of a household survey
91
of consumers' opinions on current conditions and future expectations of the economy. Source: The Conference Board, 5/12.
92. Consumer Sentiment –
Improving but 49% of Americans View Economy as ‘Poor’
Q.How would you rate economic conditions today?
Percent of USA Consumers Who View The Economy as Poor, 1/09 – 4/12
77%
68% 66%
61% 61% 59% 62% 61% 59% 60% 62% 60%
52% 54%
49%
1/09 4/09 7/09 10/09 1/10 4/10 7/10 10/10 1/11 4/11 7/11 8/11 10/11 1/12 4/12
Source: comScore. 92
93. Global GDP Growth Expected to Decelerate in 2012
with Europe Slipping Into Recession
GDP Y/Y % Change, 2009-2012E % of World
Country / Region 2009 2010 2011 2012E Total, 2011
USA -3.5% 3.0% 1.7% 2.1% 22%
Euro Area -4.3 1.9 1.4 -0.3 19
Germany -5.0 3.6 3.1 0.6 5
France -2.6 1.4 1.7 0.5 4
Italy -5.5 1.8 0.4 -1.9 3
Spain -3.7 -0.1 0.7 -1.8 2
UK -4.9 2.1 0.7 0.8 4
Japan -6.3 4.4 -0.7 2.0 8
China 9.2 10.4 9.2 8.2 11
India 6.8 10.6 7.2 6.9 2
Russia -7.8 4.3 4.3 4.0 3
Brazil -0.6 7.5 2.7 3.0 4
Developed Markets -3.7 3.2 1.6 1.4 64
Emerging Markets 2.8 7.5 6.2 5.7 36
World -0.7 5.3 3.9 3.5 100
Source: IMF World Economic Outlook, 4/12. 93
94. USA, INC. – A LOT TO BE EXCITED
ABOUT IN TECH, A LOT TO BE
WORRIED ABOUT IN OTHER AREAS
94
95. ‘Made in USA’ Smartphone Operating Systems =
64% Share from 5% Five Years Ago
Smartphone Operating System Market Share, 2005 vs. 2011E
100%
Market Share of Smartphone OS
80%
Other OS
60% iOS
Android
Windows Mobile
40% BlackBerry OS
Linux
Nokia Symbian
20%
0%
2005 2011E
Source: Morgan Stanley Research, Gartner. 95
96. USA, Inc. – Biggest Peace Time Gap Between
Revenue & Expenses in USA History
USA Inc. Revenue & Expenses as % of GDP, 1901 – 2011E
50% $16
Revenue as % of GDP
(Left Axis) $14
Biggest Peace Time Gap
Real GDP (in Trillions of 2005 Dollars)
40% Expenses as % of GDP Between Revenue &
Revenue & Expenses as % of GDP
(Left Axis) Expenses in USA History $12
Real GDP (Right Axis)
$10
30%
$8
20%
$6
$4
10%
$2
0% $0
1901 1911 1921 1931 1941 1951 1961 1971 1981 1991 2001 2011E
Source: 1910 – 1930 per Census Bureau, 1940-2010 per White House OMB. Real GDP adjusted for inflation, in 2005 dollars. 96
99. America’s Debt Level Relative to Other Countries –
You Do the Math…
2010 Gross 2010 Gross
Government Debt Government Debt
Rank Country ($B) % of GDP Rank Country ($B) % of GDP
1 Japan $12,009 220% 16 Hungary $105 80%
2 Jamaica 19 143 17 Israel 168 77
3 Greece 436 143 18 UK 1,699 76
4 Lebanon 53 134 19 Egypt 161 74
5 Iraq 97 120 20 Austria 272 72
6 Italy 2,445 119 21 Sudan 47 72
7 Belgium 452 97 22 Brazil 1,397 67
8 Singapore 214 96 23 Jordan 18 67
9 Ireland 196 95 24 Côte d'Ivoire 15 67
10 USA 13,707 94 25 India 1,046 64
11 Portugal 213 93 26 Netherlands 497 64
12 Iceland 12 92 27 Cyprus 14 61
13 Germany 2,759 84 28 Spain 848 60
14 Canada 1,324 84 29 Uruguay 23 57
15 France 2,110 82 30 Pakistan 100 57
Note: Ranking excludes countries with gross government debt less than $10B in 2010. Gross government debt includes intragovernment
obligations (such as Treasuries held by the Social Security Trust Fund in US’ case). Source: The International Monetary Fund (IMF). 99
100. USA Inc. @ kpcb.com / youtube.com / amazon.com
110K+ Total Views
23K+ YouTube Views
7K+ Facebook Likes
4K+ Retweets
100
101. What Can You Do?
• Engage in Politics
• Help Others Understand Key Issues
• Do What You Can To Innovate, Create Jobs &
Improve Education
101
107. The Value of a Business is the Present Value of
Future Cash Flows
The Riddles:
1) Getting the numbers (financials) right for the
Discounted Cash Flow (DCF) model;
2) Getting the macro + micro confidence levels +
time horizons right for ‘the market.’
107
108. Historical Wealth Creation in Tech Companies =
Concentrated
~2% of companies accounted for ~100% of net
wealth creation of 1,720 Tech IPOs in USA (1980-
2002).*
*The Technology IPO Yearbook: 9th Edition – 23
Years of Tech Investing, Morgan Stanley
108
109. Tech Cycle of Change / Growth –
Where are We Now?
Source: Presentation titled ‘The State of Capital Markets and An Update on Technology Trends’, July 23, 2001, Morgan Stanley. 109
110. THIS CYCLE OF TECH DISRUPTION IS
MATERIALLY FASTER & BROADER THAN
PRIOR CYCLES…
110
111. Outline
1) Basic Stats – Internet Growth Remains Robust,
Rapid Mobile Adoption Still in Early Stages
2) Re-Imagination – of Nearly Everything
3) Economy – Mixed Trends, With Negative Bias
4) ‘USA, Inc.’ – A Lot to be Excited About in Tech, A
Lot to be Worried about in Other Areas
5) Bubble – or Not?
111
112. Disclosure
The information offered in this presentation speaks to industry trends in general,
and should not be construed as providing any particular recommendations or
analysis for any specific company that is mentioned in this presentation. KPCB is
a venture capital firm that owns significant equity positions in certain of the
companies referenced in this presentation.
112