Nancy Mogire

Cognitive Security Tames the Big Data Monster

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Lyndon_Henry
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Re: Cognitive analytics
Lyndon_Henry   3/21/2017 6:22:45 PM
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..

Hopefully cognitive security algorithms will incorporate enough AI as to be able to deal intelligently with the outliers ...

..

kq4ym
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Re: Cognitive analytics
kq4ym   2/12/2017 11:45:48 AM
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In the "the search for useful insight to center around what is known to be the most valuable information over time," I would guess it might be easier said than done. Our brains are often fooled into "explaining" past results and our explanations may prove actually faulty. Just how we can train our machines to figure out some complexities might not be so easy. And of course the more data we have over an extended time should be the most reliable, but probably never will be even close to 100% in prediction I would guess.

T Sweeney
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Re: Cognitive analytics
T Sweeney   2/7/2017 1:00:31 PM
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Excellent parsing of this blog, Lyndon... thank you for that. Some basic definitions really help us all get on the same page, and also set parameters for a more informed discussion.

kicheko
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Re: Cognitive analytics
kicheko   2/6/2017 5:24:09 PM
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Thanks indeed and for adding the broader perspective. It seems that in the broader  sense cognitive analytics will be at the core of AI's advancement even to be able to get to making sound autonomous decisions on crucial questions. For example if a person was using their weapon to try to shoot the masses at an airport, what if their weapon knew when to stop without also stopping at a different time when the owner was using it to defend himself at his home. The gun subject may have it's own controversy and hence a bad example perhaps but if it were possible to achieve that result with AI, there could be other less controversial applications where such AI could be immediately useful.

Lyndon_Henry
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Cognitive analytics
Lyndon_Henry   2/4/2017 11:10:13 AM
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..

This is a quite interesting analysis of the application of cognitive analytics to a specific major problem area to process gargantuan quantities of big data to search for potential threats and render solutiuons to deal with them.

To understand congitive analytics in broader context, I found the following definition from Techopedia.com helpful:

Cognitive analytics can refer to a range of different analytical strategies that are used to learn about certain types of business related functions, such as customer outreach. Certain types of cognitive analytics also may be known as predictive analytics, where data mining and other cognitive uses of data can lead to predictions for business intelligence (BI).



 

Techopedia also provides a more elaborate explanation of this aspect of analytics:

Business professionals generally refer to cognitive analytics when talking about various uses of big data for business intelligence. The general concept here is that enterprises collect or aggregate large amounts of data from very diverse sources. Specific software programs or other technologies analyze these in depth to provide specific results that help a business get a better view of its own internal processes, how the market receives its products and services, customer preferences, how customer loyalty is generated or other key questions where accurate answers are used to provide a business with a competitive edge.

Many of the practical issues surrounding high-level analytics involve core issues, such as the precise methods used to collect and store data in a central location, as well as the tools used to interpret this data in various ways. Companies need to build good systems for cross-platform data usage and the processing of this data to a particular end. Technology vendors can provide analytics services and other helpful assistance, but in the end, the practical use of analytics is up to the people who work in a company, where business leaders must not only know how to gather data, but also how to use it correctly.



 

The security analytics described in Nancy's post highlight a particularly interesting augmentation of cognitive analytics with AI and machine learning.

 

Information Resources
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