Traditionally how business people and organizations
use to generate
business? The simple answers that come across are hard work, how? By
doing market research, visiting each retail shops in person, talking to
them, asking about their requirements. And what was the status of people’s need
was they use to take the questionaries’ personally to every door and make them
understand their product or services? So clearly a lot of hard work one has to
put in and all by human efforts.
The current scenario is way dissimilar than this, there is so much information is available on the internet and x number of algorithms, tools, techniques, practices that have taken place and still evolving, all to generate accurate data and helping the world to be an immensely comfortable place to live.
The current scenario is way dissimilar than this, there is so much information is available on the internet and x number of algorithms, tools, techniques, practices that have taken place and still evolving, all to generate accurate data and helping the world to be an immensely comfortable place to live.
Today's post is about that. It's about the new,
perhaps surprising ways that companies (and non-profits) are using machine
learning to make smoother, faster, better products.
1.
Sealed mobile ID is trying to diagnose the
user of a mobile device grounded on accelerometer data (how he holds and
moves the phone). This is too much of
technology, we have made the machine so smart that it has the ability to
observe the style we hold our phone and track the sensation.
2.
Marin search and Cornell University are trying
to detect whales in the ocean based on audio recordings so, that ship
can avoid hitting them, this is how the advanced devices perform that they can a track such gigantic ocean/sea and record alerts.
3. Prediction
in advance whether a product launch will be successful or not. So basically
Data Science helps to find the record of similar product launch and based on
the geographical location, demographic analysis, purchasing pattern of
customers and many such aspects like that can help in determining the success
of the launch.
4. Google Maps works on the module of tracking
people’s location, by their social media logins, their current locations to
make the application more accurate.
Machine
learning algorithms are being used in lots of original and interesting
ways. It's becoming increasingly important for companies to harness the power
of their data and use it to make smart decisions. This is how evolutions are
happening and still going on aggressively.
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