11 Cool Ways to Use Machine Learning - InformationWeek
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12/4/2015
10:06 AM
Lisa Morgan
Lisa Morgan
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11 Cool Ways to Use Machine Learning

Machine learning is becoming widespread, and organizations are using it in a variety of ways, including improving cybersecurity, enhancing recommendation engines, and optimizing self-driving cars. Here's a look at 11 interesting use cases for this technology.
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Improve Customer Service 

Machine learning can improve the efficiency of customer service by understanding customers and their issues at a granular level. Whether the support is virtual, provided by humans or a combination of both, customers and their issues tend to be divided into very large buckets, such as Product A and Product B. 
'Customer effort is directly correlated with lifetime value, so the amount of time it takes a customer to use your product or resolve a problem has a clear relationship with the amount of money they spend,' said Patrick Rice, founder and CEO of predictive analytics platform provider Lumidatum, in an interview. 
Machine learning can easily discern between the customers that are beginning to use a product versus those that have more experience with the product, which enables efficient customer support. Alternatively, it can recognize and proactively address customer issues as they occur. For example, if a customer is having trouble loading a product into her virtual shopping cart, the system can offer immediate assistance that is more relevant to the issue than a general pop-up offering non-specific chat assistance.
(Image: Geralt via Pixabay)

Improve Customer Service

Machine learning can improve the efficiency of customer service by understanding customers and their issues at a granular level. Whether the support is virtual, provided by humans or a combination of both, customers and their issues tend to be divided into very large buckets, such as Product A and Product B.

"Customer effort is directly correlated with lifetime value, so the amount of time it takes a customer to use your product or resolve a problem has a clear relationship with the amount of money they spend," said Patrick Rice, founder and CEO of predictive analytics platform provider Lumidatum, in an interview.

Machine learning can easily discern between the customers that are beginning to use a product versus those that have more experience with the product, which enables efficient customer support. Alternatively, it can recognize and proactively address customer issues as they occur. For example, if a customer is having trouble loading a product into her virtual shopping cart, the system can offer immediate assistance that is more relevant to the issue than a general pop-up offering non-specific chat assistance.

(Image: Geralt via Pixabay)

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batye
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batye,
User Rank: Ninja
2/3/2016 | 11:12:04 AM
Re: amazing
@kstaron, yes I could not agree more as security is important this days... and you could never have lot of security... 
kstaron
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50%
kstaron,
User Rank: Ninja
12/21/2015 | 9:50:37 AM
amazing
Some of these are reallt interesting. I love that it could help detect Malware and inprove Cybersecurity. The ones that help read legalese and out wit the other litigator thought I think would probably first only be used by the ones that already have the advantage over the other party, leading to an even greater advantage that I don't feel entirely comfortable with. It's amazing what we've been able to accomplish with machine learning though.
batye
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50%
batye,
User Rank: Ninja
12/7/2015 | 11:20:35 PM
Re: interesting
thank you, as I did learn something new...
LisaMorgan
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LisaMorgan,
User Rank: Moderator
12/7/2015 | 11:09:00 AM
Re: interesting
Thanks!  Glad you enjoyed it!
batye
50%
50%
batye,
User Rank: Ninja
12/6/2015 | 12:51:19 AM
interesting
interesting to know, thank you...
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