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Name: AMIT SINGH
E-mail: samit3066@gmail.com
Twitter Id: @amitcreation3
University: RGPV BHOPAL
Year/Semester: 2 / 4
Branch: COMPUTER SCIENCE ENGINEERING
Social (S), Mobility (M), Analytics (A) & Cloud (C)
are individual environments which have shown immense
growth in the past few years.
In the modern technological era, the internet
advancement is at its peak, due to this the foundation of
customer service lies within platform of mobile and web
technology. In order to serve the demands, companies are
capitalizing on digital ecosystems that are exploding due
to confluence of social networks, mobile computing,
analytics and cloud computing.
SMAC based solutions have given businesses a
realistic opportunity to broaden their horizon in
innovative applications and leverages the IT
infrastructure by lowering cost of ownership. This has
improved enterprise decision making capabilities,
establishing new business models & superior interaction
with customers.
PRODUCT & PROCESS BUSINESS MODEL
ENHANCED
CAPABILITIES
SUPERIOR
EXPERIENCE
IMPROVED
COMPETENCE
•Mass Personalization
•Utilizes Transactional data as well as
Behavior (interaction) data.
•Social Knowledge sharing
•Anywhere/Anytime Use
•Predictive Marketing
•Mundane Tasks automated
• Improve Speed, Precision,
scalability, reliability, and efficiency.
•Better Access Speed and
Customization
•Lower Integration Cost.
•Provides cross platform solutions.
•Enables Big Data processing with
enhanced Volume Variety &
Velocity.
•Superior Interaction between
Customers, Suppliers and
Employees
•Faster Growth
•Superior Interaction between
Customers, Suppliers and
Employees
•Ardently Required for Better E-
Governance.
The Gartner’s survey exemplifies the top three
emerging trends in IT sector are Analytics,
Mobile technologies and Cloud computing
and the services are set to change the face of
the global IT-BPM market drastically over the
course of the next few years. It is also
estimated that Indian IT vendors could
generate $225 billion in SMAC related
revenue by 2020.
In the present epoch companies are
extensively interacting with their
customers through the cheapest
means of social networking websites
for brand building and extensive
customer engagement due to the fact
that more than 25% of the users
online time being spent on social
networking sites
The expected trend which can make a big impact in the next five years are
 Analytics : With 2.5 billion gigabyte of data being generated everyday, firms have
started investing in new technologies like BIG DATA for superior decision making.
SaaS will see an explosion with various players catering to specific needs depending on
industry, business processes and geographic need
 BIG DATA ANALYTICS: The rise in the amount of both structured and
unstructured data being generated is phenomenal. The analysis of data
generated in the social, mobile and cloud domains can bring significant
value for enterprises across many diverse areas such as product innovation,
marketing, customer care, pricing, application management.
 MONITOR & MEASURE: Measuring the impact of social business
remains a significant barrier for many organizations, pointing to the need for
standardization to provide cost effective & reliable patterns understood by
the majority of the participating ecosystem.
 SECURITY THREATS ON CLOUD COMPUTING
VULNERABILITIES: Several security issues in the cloud are raised by
Researchers. Cross site script (XSS) attack is one of the most dangerous
threats in the Internet. In the past, many literatures for detecting XSS attacks
were proposed. Unfortunately, fewer studies focus on the detection of XSS
attacks in the cloud.
If given an opportunity of internship, I would intend to work in Big
data management and related security in cloud computing
environment.
Innovations:
 A mechanism of monitoring system can be developed to
continuously update big data’s reliability and provide a reliable
scheduling of the resources in a cloud computing environment.
 My M-TECH research is based on security against Cross-Site-
Scripting attacks. The proposed platform-independent model can be
further extended to cater security in cloud environment.
SMAC

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SMAC

  • 1. Name: AMIT SINGH E-mail: samit3066@gmail.com Twitter Id: @amitcreation3 University: RGPV BHOPAL Year/Semester: 2 / 4 Branch: COMPUTER SCIENCE ENGINEERING
  • 2. Social (S), Mobility (M), Analytics (A) & Cloud (C) are individual environments which have shown immense growth in the past few years. In the modern technological era, the internet advancement is at its peak, due to this the foundation of customer service lies within platform of mobile and web technology. In order to serve the demands, companies are capitalizing on digital ecosystems that are exploding due to confluence of social networks, mobile computing, analytics and cloud computing. SMAC based solutions have given businesses a realistic opportunity to broaden their horizon in innovative applications and leverages the IT infrastructure by lowering cost of ownership. This has improved enterprise decision making capabilities, establishing new business models & superior interaction with customers.
  • 3. PRODUCT & PROCESS BUSINESS MODEL ENHANCED CAPABILITIES SUPERIOR EXPERIENCE IMPROVED COMPETENCE •Mass Personalization •Utilizes Transactional data as well as Behavior (interaction) data. •Social Knowledge sharing •Anywhere/Anytime Use •Predictive Marketing •Mundane Tasks automated • Improve Speed, Precision, scalability, reliability, and efficiency. •Better Access Speed and Customization •Lower Integration Cost. •Provides cross platform solutions. •Enables Big Data processing with enhanced Volume Variety & Velocity. •Superior Interaction between Customers, Suppliers and Employees •Faster Growth •Superior Interaction between Customers, Suppliers and Employees •Ardently Required for Better E- Governance.
  • 4. The Gartner’s survey exemplifies the top three emerging trends in IT sector are Analytics, Mobile technologies and Cloud computing and the services are set to change the face of the global IT-BPM market drastically over the course of the next few years. It is also estimated that Indian IT vendors could generate $225 billion in SMAC related revenue by 2020. In the present epoch companies are extensively interacting with their customers through the cheapest means of social networking websites for brand building and extensive customer engagement due to the fact that more than 25% of the users online time being spent on social networking sites The expected trend which can make a big impact in the next five years are  Analytics : With 2.5 billion gigabyte of data being generated everyday, firms have started investing in new technologies like BIG DATA for superior decision making. SaaS will see an explosion with various players catering to specific needs depending on industry, business processes and geographic need
  • 5.  BIG DATA ANALYTICS: The rise in the amount of both structured and unstructured data being generated is phenomenal. The analysis of data generated in the social, mobile and cloud domains can bring significant value for enterprises across many diverse areas such as product innovation, marketing, customer care, pricing, application management.  MONITOR & MEASURE: Measuring the impact of social business remains a significant barrier for many organizations, pointing to the need for standardization to provide cost effective & reliable patterns understood by the majority of the participating ecosystem.  SECURITY THREATS ON CLOUD COMPUTING VULNERABILITIES: Several security issues in the cloud are raised by Researchers. Cross site script (XSS) attack is one of the most dangerous threats in the Internet. In the past, many literatures for detecting XSS attacks were proposed. Unfortunately, fewer studies focus on the detection of XSS attacks in the cloud.
  • 6. If given an opportunity of internship, I would intend to work in Big data management and related security in cloud computing environment. Innovations:  A mechanism of monitoring system can be developed to continuously update big data’s reliability and provide a reliable scheduling of the resources in a cloud computing environment.  My M-TECH research is based on security against Cross-Site- Scripting attacks. The proposed platform-independent model can be further extended to cater security in cloud environment.