In this presentation, Sravani introduces SMAC and associated trends. Having already developed mobile applications using IBM’s BlueMix, Sravani's interest areas lie in the same domain along with Big Data Analytics.

1. SMAC
Name: D.Sravani
E-mail: dolasravani14@gmail.com
Twitter Id: @sravanidola
University: B.V.Raju Institute of Technology
Year/Semester: 3rd year
Branch: IT
-- connecting everything to everyone

2. Introduction
 SMAC - Social, Mobile, Analytics and Cloud is one integrated stack,
where each function enables another to maximize their effect.
 Social: The social is allowing consumers and brands to influence one
another more than ever and social media enables the individuals to
connect with the world. Marketing and selling a product has been
changed entirely by this new strategy.
Through social media an enterprise can maximize its profits with
minimum efforts by increasing the popularity of its product through
social media.
 Mobile: Mobile is where the world is going. Statistics show that the
industries as well as the individuals are shifting from PCs and laptops to
mobile devices. The reason behind this is that these smartphones and
tablets have brought rich, digital content to the fingertips of the users.
The mobile applications reduces the human effort in all kinds and
hence the demand for the smart phones have increased drastically.

3.  Analytics: The data is being generated tremendously
every year by the individuals as well as enterprises. The
data analytics means analyzing the data and obtaining
the desired output. For example, by applying data
analytics a retailers can predict the buying decisions of
shoppers.
Predictive analytics is widely being adopted by various
industries.
 Cloud: The Cloud is the glue which binds all the three,
social, mobile and analytics.
With Cloud applications, in growth of the “as-a-Service”
movement (PaaS, SaaS, IaaS) and game changing factors
like easy to use cloud storage, secure cloud data
replication, the Cloud is bringing all the elements – Social,
Mobile, Analytics – together in a fashion which was first
promised by the Internet.

4. Trends
 Social: Earlier this year , the social media giants both
Facebook and Twitter began beta-testing “buy”
buttons, which appear alongside certain posts and
tweets and allows users to make purchases with just a
click or two.
 Mobile Payments: After its launch, the “Apple Pay”
supports cards that represent 90 % of the credit card
purchase volume in the U.S.

5.  Cloud: The latest cloud-based graphics technologies allow end
users to run high-end graphic design applications with a simple
HTML5 web browser.
 Big Data Analytics: The latest tools for data analytics like Hadoop,
Google’s BigQuery data analytics service, are a framework for
processing very large data sets.
 Trends which I expect to make big impact in the next five years :
I expect, the cloud platform based mobile application
development like IBM’s Bluemix cloud platform etc will impact
the coming years since it helps developers rapidly build, manage
and run web and mobile applications on cloud.
The developer just need to use a combination of the most
prominent open-source compute technologies to power the
apps. More the developer is comfortable in developing
products,.

6. Interest Areas
 My interest areas are data analytics, cloud computing
and mobility.
 The predictive analysis feature of data analytics seems
more interesting to me.
 I would like to work on these interest areas. I have also
developed few mobile applications and also cloud
platform based mobile application under IBM’s
BlueMix. So, I would like use my prior knowledge in my
internship for the development of my skills as well as for
the benefit of the organization.

7. Thank you