What is cognitive computing?

Cognitive computing is the ability to pull both structured and unstructured data, resulting in greater efficiency and better business decisions. In many organizations, 20% of business data lives in a structured database, and 80% exists in content that is stored in notes, spreadsheets, and a wide variety of other formats.

Cadeon understands that digital transformation requires unstructured as well as structured data to achieve its full potential. That is why, very early on, they partnered with global leaders in the cognitive computing space. Their expertise and ability to arm their clients with the right strategies makes them an invaluable aid in digital transformation.


 

Why is it important for organizations?

Cognitive computing is important because many companies are making decisions based on just 20% of their information. This can lead to poor decisions. The ability to pull both unstructured and structured data together enables businesses to make decisions based on all of the facts and data that they have available. This provides decision-makers with better context and dramatically changes the game for anyone carrying out tasks such as analytics.

 

What trends do you see?

Trends include IBM's Watson, as well as other partners who are taking advantage of the momentum and popularity of this niche. Additionally, there are new players coming to the table. The cognitive computing space is crowded as well as fast-moving. Changes such as the General Data Protection Regulation (GDPR) have resulted in a significant need for businesses to have the ability to go across multiple sources of information in order to eradicate info if requested.

 

How does cognitive computing benefit an organization?

The ability to access information that may be stored in notes, spreadsheets, and a wide variety of other formats in addition to structured data yield better business decisions and greater efficiency.

From accessing the details on a drilling process to speeding up the discovery process for lawyers, cognitive computing is a robust solution. 

 

Could you tell us about a case study that involved cognitive computing?

Cadeon's clients include a large oil and gas company that needed to create a library of knowledge based on an engineer’s tacit knowledge, their documents, and all of the systems they used for their job. They sought to create this library in order to be able to research and run simulations. Cadeon knitted all the information together and provided a search capability for both tacit knowledge and documents. This saved the client time and money and also allowed them to simply ask questions verbally, thanks to a Voice Assistant-style system.

 

Why should an organization choose Cadeon for their cognitive computing needs?

Cadeon understands that digital transformation requires unstructured as well as structured data to achieve its full potential. That is why, very early on, they partnered with global leaders in the cognitive computing space. Their expertise and ability to arm their clients with the right strategies makes them an invaluable aid in digital transformation.

 

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