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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.

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  1. 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. 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. 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. 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. 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. 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. 7. Thank you