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Emerging Technologies

Business Trends & Insights
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Angela Johnson

on 19 October 2014

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Transcript of Emerging Technologies

Business Trends & Insights

Capgemini India Private Limited

May 2014


Prepared by: Ajay Pandey
Email: ajay.pandey@capgemini.com

IT sector is witnessing an exponential growth in the last few years due to rapid advancements in technology, Innovations, Disruptions and several emerging new normals.

By 2020 Testing services market size would be in the range of USD 50 Billion of which the addressable market range is 20-25 Billion USD. India’s share is estimated to be 55% of the addressable market.

In this paper we would take a look at the top 10 emerging business trends and what it holds for Testing in the future
1. Internet of Things (IOT)
• An estimated 212 billion devices will be connected by 2020.
• $8.9 trillion market in 2020

2. Mobile
• The global Enterprise Mobility (EM) market is expected to grow annually by 15 percent every year, eventually reaching $140 billion by 2020

• By 2020 roughly 10-12 percent of the enterprise IT budgets will be spent on mobility, compared to less than 5 percent today

3. Cloud
• Global Cloud Infrastructure Testing Market Gains Momentum with rising popularity of Cloud-based Services, estimated to reach $366.2 million in 2020

4. Big Data
• Data is growing at 40% annual compound rate reaching nearly 40ZB by 2020
• Big data is linked to Open data innovation
• There will be lots of Big Data–driven mergers and acquisitions (M&A) activity.


5. Social Technologies
• Currently we have more than 1.5 billion users on Social networking sites.
• An estimated value between $900 billion-$1.3 trillion can be tapped in key sectors

6. Crowd sourcing
• Expenditure on Enterprise Crowdsourcing is accelerating Year on-Year
• Future enterprise models for service delivery will be built on hybrid strategies that harness both Private and Public “Crowds in the Cloud“.

7. Agile
• Agile development is now becoming mainstream, Currently 21% of development projects are based on agile methodologies.
• Agile ALM becomes the norm

8. Security
• Key trends impacting Information Security to 2020 will be Infrastructure revolution, Data explosion, Multiple internets, New identity &trust models
• Emergence of more complex and automated threats will lead to mandatory requirement of Security testing
9. Wearables

• The global market for wearables in health and fitness could reach 170 million devices by 2017

• Wearable technology will require testing the device itself, its software, and how it communicates with other devices. Because of this, “in-the-wild testing” will play an integral role in the success of Wearables.

10. 3D printing

• 3D Printing Market worth $8.41Billion by 2020

• A future consequence of 3D printing could be a change in laws around patenting, copyright and safety.

ABSTRACT:
Key Stats

More than 600,000 apps available for Android, and the estimated number of applications downloaded from Google Play was 20 billion
2.3 Mobile
By 2015 mobile app development projects will outnumber native PC projects by a ratio of 4-to-1*
Drivers For Testing
Drivers for testing

• End-user demand for well-defined service level agreements and enhanced quality of experience reiterates the need to test cloud infrastructure for performance, security and reliability issues.

• Defining interoperability standards that will enable businesses to move applications and data back and forth between private and public clouds or between multiple service providers is crucial for market growth

• Service providers are looking to design innovative 'everything as a service' business models that will transfer the responsibility of IT infrastructure control to enterprises presenting opportunities for test solution vendors to work directly with end-user groups and widen their consumer base

• Small and medium businesses, improved communication infrastructure, and affordable virtualization technologies will continue to drive the uptake of public cloud computing and testing systems

• Proliferation of segments within cloud infrastructure testing like
1. Cloud application services as part of SaaS
2. Cloud system infrastructure service as part of IaaS
3. Cloud application infrastructure service as part of PaaS
4. Cloud management and security service

Sectors Impacted
Enterprise
Healthcare
Financial
Banking
Government
How Testing needs to transform to cater to this opportunity in this space
• Infrastructure testing
5.

Sectors Impacted
1. High Tech and Telecom
2. Business, Legal and Professional services
3. Pharma
4. Retail
5. Transportation
6. Healthcare
7. Manufacturing

Examples of Testing opportunities in this space

1. Testing in Healthcare
(http://arch.yale.edu/projects/test-and-tweet-change-through-social-technologies )
2. Testing social networks




1. Connecting with consumers via social media is a very attractive proposition for many businesses. Facebook and other social applications provide a cost effective way to convey a message to a wide audience very quickly. Unfortunately, as many companies have found out to their cost, when things go wrong the problem spreads to the audience just as quickly as the message you’d hoped to share.

2. Testing Social media simulations on how the public might respond to a new approach on social media, such as a new ad campaign, a new product launch, new content (such as a video, images or web copy), a fresh corporate identity, or a changed tone of voice

3. Testing Processes for Fine-Tuning Social Media Metrics Dashboard

4. Leverage the following social media testing tools
• FollowerWonk.com • Twitter Analytics • Facebook Insights • UnifiedSocial.com
• SimplyMeasured.com • Google+ Ripples • TrueSocialMetrics.com

How Testing needs to transform to cater to this opportunity in this space
Ongoing development of smart cities/cars/houses
Enhance connectivity infrastructure
Connected culture
BYOD
Rapid advancement of technologies like the below

a. Radio frequency identification (RFID)

b. Machine to Machine communication(M2M)

c. Machine type communication (MTC)

d. Wireless sensor and Actuator networks (WSAN)

e. Ubiquitious computing

f. Web of Things (WOT)

Incubating Connectivity labs/COE to test IOT in real time.
More and more devices are (or will be in the near future) connected to other devices or to Information systems (IS) which manage or monitor these devices. This trend calls for new approaches and reinforcement of security and testing procedures in order to protect both side: the device itself with people who use it and the IS which monitor/manage the device.
By applying security controls at the API layer, Users can also apply virtual patches to the device, taking advantage of an API Gateway to apply this security layer to APIs. This calls in for API testing.
Device fragmentation leads to rise of Interoperability testing
M2M communications would lead to Conformance testing and Certification in Broader scale.
The distributed nature of the tested components imposes to move towards distributed testing methods.
Semantic and Dynamic Inter-operability leads to Enhanced testing covering Linked Data, Performance, Deployment, Scalability and Extensibility.
Proliferation of Usability, Security and Open Data Testing

Large volumes of data would lead to the adoption of Statistical Quality Control

How Testing needs to transform to cater to this opportunity in this space
Mobile
1
1
Building large-scale testing and learning environments, which both facilitate the experimentation with complex sensor networks and stimulate innovation through reflection and experience.
A short video on how these emerging technologies are transforming the world
Internet of Things
Cloud
Social Technologies
Big Data
Mobile Devices
3D Printing
10
Wearables
Security
Components of IOT
Most Innovative Companies in IOT
Intelligent systems/devices
Applications and vertical industry solutions
Platforms: device-, network- and application enablement
Connectivity/service
Analytics and social business
For racing to establish an Internet of Things accelerator
Withings
Belkin
Intel
For building out a cloud platform to help make smart machines smart
Nest (Google)
Philips
Quirky
For upping the activity-tracking game with a next-gen, supercharged wristband
For opening a platform of Internet-wise devices to let users customize their connected homes
10
R/GA
9
5
SmartThings
4
Jawbone
Logmein
2
3
6
7
8
For solving yet another pain point in building the smart home
For having the bright idea to make smartphone-tethered bulbs
For unleashing simple connected products for the cautious consumer
For jumping into the IoT fray as only it could--with a superpowered chip
For giving users control of whatever’s plugged in
For strengthening its products to stand out among the quantified-self crowd
1
Embedded Computing
Internet Users
Device Diversity
Sectors Impacted and corresponding products
Key trends

EMC acquired Greenplum
IBM purchased Netezza
HP brought Vertica
Microsoft teaming up with Hortonworks
Oracle alliance with Cloudera
eBay’s new search engine Cassini (Based on Big data technology)
can support 97 million active users, 250million queries per day and 200 million items live in more than 50,000 categories
Hadoop is emerging however not enterprise ready and requires highly skilled professionals for implementation and support
In-Memory Revolution

Drivers for testing
• 45% of companies have implemented a Business Intelligence or Big data initiative
• 90% of Fortune 500 companies will have atleast one big data initiative underway in 2014.
How Testing needs to transform to cater to this opportunity in this space
1. Building state of the art Testing COE for Big data
2. In depth Test Strategizing of the following challenges
• Increasing need for Live integration of information
• Instant Data Collection and Deployment
• Real-time scalability challenges
• Hardcore testing involving smarter data sampling and cataloguing techniques
• Architecture Testing
3. Build anticipatory Test strategies for the following big data technologies
• Hadoop
• HBase
• NoSQL
• MapRTechnologies
• BeeHive
• Mahout
• HDInsight
4. Leverage Big data testing tools like
• QuerySurge
• Enterprise DataMasking™ suite
5. Leveraging Big Data solutions from Oracle like
• Big Data Appliance
• Big Data Connectors
• Exadata
• Exalytics In Memory Machine
6. Test for Volume, Variety and Velocity

GE
For harnessing data
from its planes and
trains to power a new
Industrial Internet,
potentially saving billions
1
Crowd Testing
Kaggle
For feeding its DIY data scientists cash-prize challenges (then molding them into a consulting biz).
2
Ayasdi
For using a visual approach to take the guesswork out of big data.
3
IBM
For playing global data
evangelist by sharing its
problem-solving power
with cities, businesses,
and universities
4
Mount Sinai Icahn School of Medicine
For embracing data
scientists and
supercomputers to build
the hospital of the future
5
The Weather Company
For analyzing millions of
local climates to predict
how shoppers’ habits
sway with the weather
6
Knewton
For forging alliances to make millions of students smarter, from adaptive¬-learning e¬books to personalized English¬ language training courses
7
Splunk
8
-For providing businesses with
hundreds of homegrown
apps to sniff out error
files and keep things
humming
Gnip
For expanding its service to let customers
dive through every
social media stream
available
9
Evolv
For mining employee
performance to help
stanch turnover and
upend HR
10
Most innovative companies in Big Data Space
10
• Massolution
Landscape
• UTest
• Pay4Bugs
• Mob4Hire
• Test Ninjas
• Crowdsourced
Testing Company
• Testbirds
• Passbrains
Sectors Impacted
• There are several software needs for 3D printer users: 3D modeling tool, such as OpenSCAD or Blender; slicing tool, to "compile" the 3D model to a set of G-Code instructions, such as Skeinforge or Slic3r; and finally a printer control software, such as Printrun, Cura or RepetierHost.
• Other useful application is meshlab, that allows users to view and simplify STL files
• As manufacturers and designers start to grapple with the prospect of their copyrighted designs being replicated easily on 3D printers, there will be high-profile test cases over the intellectual property of physical object designs
How Testing needs to transform to cater to this opportunity in this space

Aerospace Automotive Consumer Healthcare Government Defense
Drivers for testing
1. Incubating labs to test prototypes and simulation softwares
2. Increase in the need of CAD/CAM Testing
3. Design validation as an integral part of testing
1. Model newer and complex threats and expand test coverage
2. Develop Advanced Persistent Threats while working on Mobile apps security testing
3. Place emphasis on Data Integrity Testing and Visual spoofing
4. Validate identity protection in social networking sites
5. Validation techniques for Digital cash like Bitcoins



80% = Proportion of online users who interact with Social networks regularly

70% = Proportion of companies using Social networks regularly

90% = Proportion of companies using social technologies that report some business benefit out of them

28hours = Time each week spent by knowledge workers writing emails, searching for information and collaborating internally.

Key Triggers
How Testing needs to transform to cater to this opportunity in this space

1. Build a Wearables Test lab or COE housing real devices
2. Leverage mobile COE for testing apps like
• RunKeeper
• MapmyFitness
3. Leverage existing COE’s for different types of testing opportunities in this space like
• Functional Testing
• Usability Testing
• Localization testing
• Performance testing
• Security Testing
Drivers for testing
1. Wearable technology will require testing the device itself, its software, and how it communicates with other devices. Because of this, “in-the-wild testing” will play an integral role in the success of Wearables.

2. The physical nature of wearable technology makes it vital to test using real devices. While creating virtual devices to test content and data display is useful (particularly in regression and acceptance testing), adding real devices into the mix helps to mitigate syncing/connectivity issues, captures real data and can provide the real-time feedback you would want out of a wearable device.




Mobile Internet usage is expected to overtake desktop internet usage by 2014 *
By 2015, International Data Corporation (IDC) predicts that 182.7 billion mobile apps will be downloaded. That’s a 1600% increase from the 10.7 billion apps downloaded in 2010.
Digital transformation pervading all sectors of IT
Mobile testing is now carried out by 55% of the organizations with Healthcare and Lifescience sectors setting the pace

Testing of Mobile applications efficiency and Performance remains the primary focus (59%)
Mobile security has become the second most priority (56%)
Compatibility Testing originating from increasing device diversity and device fragmentation is also on the rise.
1. Microsoft released the beta version of its Office 2010 productivity suite, which was downloaded and tested by 9 million people who provided 2 million valuable comments and insights,resulting in substantial product improvements.

Potential
With significant disruptions happening across all sectors, the following would provide the impetus in the rise of crowdtesting which can be tapped
1. Consumer driven software applications
2. Time to market
3. Real time feedback and Validation
Real world examples on the Benefits of Crowdtesting
How Testing needs to transform to cater to this opportunity in this space

Building state of the art Testing COE for Mobile
Addressing different facets of Mobile testing approaches
• Emulator based approach

• Device based approach

• Cloud based approach

• Combination approach
In depth Test Strategizing on the following challenges
• Device diversity

• Hardware challenges

• Network challenges
Addressing different facets of Mobile testing approaches
Leverage mobile test automation tools
• Emulator based approach

• Device based approach

• Cloud based approach

• Combination approach
Performance testing, GUI testing, and compatibility testing should be done using actual devices. Even though these tests can be done using emulators, testing with actual devices is recommended.


Importance of usability for mobile applications is even more important. Users who fail to sort out how to use your application or how to access some feature of your application, may simply reject application in favor of some other.
Building focused Test labs or COE’s for Cloud based testing. The Lab/COE should be horizontal leveraging multiple other Testing COE’s like the below
• Mobile Testing
• Performance Testing
• Security Testing
• Automation Testing
1.
2.
Leveraging Cloud based testing tools like
• Cloudtest
• ParasoftSOATest
• Gcload
• Blazemeter
• CLAP
Leveraging cloud based mobile application testing tools like
• AppThwack
• DeviceAnywhere
• ManyMo
3.
Develop a specific strategy for migrating testing to cloud, factoring in explicit requirements, tools and opportunities that Cloud offers
4.
Opportunities exist to reduce functional testing effort associated with cloud based software services by engaging in early risk analysis to provide an accurate assessment for the required levels of testing

Key Triggers
Most suitable for applications that are user-centric like mobile applications and game development projects

Applications with a high Defect Exposure Factor i.e. criticality as a measure of immediate customer exposure post release, are good candidates for crowdtesting.
Most effective in catching residual UI and configuration defects prior to production release.
Drivers For Testing
1. The outsourcing industry is poised for a disruptive shift that has the potential to be larger than the shifts that drove the outsourcing of work and the distribution of work offshore.
2. Crowdtesting puts software to test under real world conditions by real users, allowing companies to gather real insight and feedback and to identify defects quickly and cheaply
Market segments catering to Crowdtesting


Crowdtesting should be considered as additional, complementary testing prior to production release rather than a replacement of an organization’s internal testing team.

Security Management
a. Security intelligence and event management
b. Proactive endpoint risk management
c. Forensics and incident investigation
d. Policy and compliance
e. Security device systems management
Vulnerability Assessment
a. Device
b. Application
Key Trends
9. Cloud Computing
1. Infrastructure Revolution
2. Data explosion
3. An always-on, always connected world
4. Future finance
5. Tougher regulations and standards
6. Multiple Internets
7. New Identity & Trust models
8. BYOD
How Testing needs to transform to cater to this opportunity in this space
Segments Impacted
Full transcript