• michaelthould

Increase Enterprise Efficiency with Natural Language Processing

Updated: May 30, 2019

Human-to-machine communication has not yet been perfected, but enterprises are already beginning to integrate this groundbreaking technology into their operations, increasing overall productivity and efficiency.

Natural Language Processing (NLP) is not a new branch of artificial intelligence (AI), it has been around for more than a decade. The technology has evolved continuously with regular refinements and processing discoveries, so has this AI that is revolutionising business intelligence by learning and “understanding” the human language become essential and transparently integrated within the business landscape? Not yet.

Currently, the technology is still learning, but as time progresses it is hoped that natural language processors will have the ability to communicate intuitively, meaning they will have the capability to interpret people’s emotions and respond accordingly rather than just act as purely objective, input driven interfaces as they have been.

Applications of NLP

One of, if not the biggest, challenges of growing and leading businesses, is the management of the increasingly large amounts of customer driven data they receive on a daily basis.

A key issue for most enterprises is the management of data, its collection and integration into day-to-day operations. An enterprise is able to collect data, and store it accordingly, but unless it is understood – and understood efficiently at that – most big data will go to waste or will end up being understood long after it could have been useful.

Enterprises that use NLP have applied the technology in the areas of customer service, feedback analysis, and data management and interpretation – departments where companies usually receive large amounts of, unstructured data, which they need to condense into more understandable information and customer insights.

Simply put, natural language processing, makes sense out of big data, injecting their interpretation with the nuances of human intuition, to help companies better understand how they can best utilise the information for the improvement of their operations and business efficiency.

Managing Data

Switching over to this type of data-processing will mean giving your software the ability to learn from the data that your company receives, and fully interpret it for you as a person would, for better understanding, analysis and review. The only difference is that it’s not a person; it’s a system that is constantly learning from its interactions with people and determining how to respond and receive information as we do. In essence, to think.

The ability to digitize critical information will enable your business to collect and manage quality data, while drawing your focus to the essential improvements that need to be made for your enterprise infrastructure, rather than spending all the time and effort trying to understand the intricacies of how a person would share data, and taking that into consideration when receiving and organising it. All that, NLP can already offer answers to.

With an increase in understanding comes the ability to address business problems in a more efficient manner; cutting the operational time that is usually spent for this purpose, and instead providing the opportunity to use this time on tasks that can act on the interpreted data.  Ultimately, resulting in improved business performance.

If you’d like to find out more? Contact Fusion Professionals today to learn how Natural Language Processing can be integrated into your enterprise’s business intelligence.

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