In this presentation, Mukut introduces SMAC and associated trends. Mukut is interested in mobile application development and recommendation algorithms.

2.  SMAC Social Mobile Analytics Cloud is the mix of four super
successful technologies viz. social media, mobile, analytics
and cloud sought to increase business productivity
manifolds.
 Data that is being created by mobile devices, sensors, social
media, and website browsing is creating new business
models built upon customer-generated data.
 Social media takes business deep into the customers and
social data is a credible source on which organizations can
rely on to make decisions.
SMAC – THE GAME CHANGER

3. Continued…
 Mobile devices will replace the pc as end user devices. In
five years time people will buy on mobile channel rather
than pc internet channel or store channel.
 Coming to Cloud and Analytics consider the fact that more
the data and more is the ease of accessibility, more is the
productivity and success.
“The guy with the most data wins.” - Tim O’Reilly (Founder, O'Reilly Media)
“We don’t have better algorithms. We just have more data.” – Peter Norvig (Director
of Research, Google)

4. SMAC these days…
E-commerce:
 When consumers search or buy something at any e-tailor, he is
given options to share among his friends through social media.
 Search and share patterns are analysed well and useful
recommendations appear on most of the websites he visits.
Online TV series:
 Viewer’s playlist is analysed thoroughly and recommendations
generated.
 Even prompted to share in social media to increase publicity
and gather more data for recommendation algorithms.

5. Trends
 The recent trend in this approach is the increase in
the number of smartphones as end user devices.
 Cloud on top added to the flexibility and versatility of
mobile apps changed the way customers interact
with firms.
 Taking an example, Recent studies suggest that 90%
of the traffic for a top online fashion brand in India is
via Mobile app.

6.  Given an opportunity , I would like to work on the
mobile development and recommendation
generating algorithms for a rich user experience.
 Useful recommendation generation coupled with a
rich versatile mobile user experience will turn stones
over.
Areas of Interest

7. Thank You!!!