Most experts claim
that larger volume of data is going to continue generating. The number of mobile
devices and other IoT devices are increasing. In order to deal with the huge
number of unexpected data and analyze it, new tools are needed to do so. The
paramount thing to win in big data market is having vision into big data to
make decisions in real time.
According to Gartner,
“machine learning is a top trend for 2016. Machine learning is the key element
for data preparation and predictive analysis in the businesses of tomorrow”
Creating a link
between data analytics and cognitive computing is going to be the following
step in Big data. Indeed, today's companies and organizations agree that there is a deep
connection between big data and analytics. Manual analysis
might be unprofitable and impracticable due to the increasing amount of data
source. (Deep Neutral Networks) DNNs which is an artificial Neutral Networks
that " interpret sensory data through a kind of machine labeling, perception raw input"
Businesses are
going to use their data to pay value and revenue. Companies that use accurate
data are going to generate about $430 billion in output benefits over than
other companies that not using data.
Privacy is a
crucial challenge that big data face it. The European Union put a new privacy
regulation which is forces companies to address their privacy procedures. By
2018, 50% of the business ethics violations are going to relate to data.
To sum up, Big
data are going to be bigger , and the most important thing is the companies
that ignore data are threaten to reduce their productivity benefits and
revenues.
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