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Cognitive computing leads to the next level of big data queries

26/11/2014 by Sharon Shahzad

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Cognitive computing analyzes how the brain works and approximates human intelligence. Find out how businesses might benefit from this new frontier in data analytics. 

Over the past three years, data analytics has been a "digestive" exercise, with volumes of man- and machine-created data amalgamated, stored, indexed, and probed for intelligent gems that can transform businesses. The success stories are mounting about how companies have masterminded these analytics into innovative business approaches.

But as analytics progresses, there will also be new needs to more closely approximate human intelligence and how the brain works. In technology lingo, this is referred to as cognitive computing.

"A cognitive computing platform is modeled along the lines of how the human brain works," said Ian Hersey, chief product officer of Saffron Technology, which has built a cognitive computing platform for the Internet of Things. "The technology actively learns 'patterns' of association and then reasons based upon what it has learned from these associational patterns."

An everyday example occurs when a person walks into a dark room that she is unfamiliar with. She wants to turn on the light, and it is her memory that informs her where a light switch for the room is most likely to be. That memory has been developed through the repetition and association of many past incidents when she has turned on lights in darkened rooms. She reaches for the area of the room where the switch is most likely to be found, and she probably finds it.

"In computing, the cognitive platform is built from these associational experiences in much the same way," said Hersey. "The human brain is a collection of associational processes and we start with gathering associational attributes that connect different data elements, and we then assemble them into common contexts in which these associations appear."

Saffron's approach includes getting the raw data into a system much like an extract, transform, and load process (ETL). Connections to incoming data link into multiple data sources, ranging from Hadoop files to data coming from web-based, machine-based and other systemic inputs. "We then look at this data and begin to connect it at the data entity level," Hersey said.

In some cases, an element of data might have 10,000 different attributes that could be triggered by associations that will begin to build connections between these attributes and data elements in certain usage contexts. In this sense, the process is much like how the human brain processes associational aspects of information and then cross connects them into learning matrices that enable the brain to respond to certain situational contexts.

This article has been extracted from http://www.techrepublic.com, please click on this link to read the article in full http://www.techrepublic.com/article/cognitive-computing-leads-to-the-next-level-of-big-data-queries/

Montash is a multi-award winning, global technology recruitment business. Specialising in permanent and contract positions across mid-senior appointments across a wide range of industry sectors and IT functions, including:

ERP, BI & Data, Information Security, IT Architecture & Strategy, Energy & Technologies, Demand IT and Business Engagement, Digital and E-commerce, Leadership Talent, Infrastructure and Service Delivery, Project and Programme Delivery.

Montash is headquartered in Old Street, London, in the heart of the technology hub. Montash has completed assignments in over 30 countries and has appointed technical professionals from board level to senior and mid management in permanent and contract roles.

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