big data and the hype around it.

3.  Big data is used to better
understand customers and their
behaviours. Companies are keen
to expand their traditional data
sets with social media data
browser logs.

4.  Final application of big Data
comes from financial trading.
High-frequency trading is an area
where big data finds a lot of use
today. Here, big data algorithms
are used to make trading
decisions.

5.  Increasingly used to optimise
business. Retailers are able to
optimise their stock based
predictions generated from social
media data, web search trends
and weather forecasts.

6.  It helps not just for companies
and government but also for all of
us individually. We can now
benefit from the data generated
from wearable devices.

7.  The computer power of big data
analytics enables us to decide
entire DNA strings in minutes and
will allow us to find new uses and
better understand and predict
disease patterns

8.  Big data is used to improve many aspects of
our cities and countries. For example , it
allows cities to optimise traffic flows based
on real time traffic information as well as
social media and weather data.

10.  One of the biggest hyped stories
was that by mining Big Data,
business and organizations would
be able to predict the future as if
the domain expert had a crystal
ball.

11.  But if you’re counting on it to make
people much more predictable, you’re
expecting too much.
.

12.  While it’s true advancements in machine
learning and artificial intelligence in recent
years have certainly aided this, Big Data alone
has not completely delivered on this.

13.  It simply means that Big Data has
evolved and is entering a more
mature phase, machine learning
and artificial intelligence will
exploit big data and help users
derive further insights.