Natural Language Processing (NLP) has been present in the IT
community for some time, however in recent years following the significant
growth in popularity of data science NLP has become a very hot topic amongst
Defined in its simplest sense Natural Language Processing is
the advanced interpretation of unstructured data in the form of one or more
human languages, originating from human naturally generated input. Computers
excel at processing binary data, calculations and neatly indexed records,
however when it comes to human language things get a little more complicated.
As humans we use language to convey meaning in ways, which
we can be extremely confusing to a machine relying on logic to derive a result.
NLP algorithms must therefore be able to deal with a whole range of challenging
areas such as: Substitution of symbolic phrases with hidden meanings,
application of emotional context to sentence structure, spelling and
grammatical mistakes etc.
A few years a go there were very few vendors operating in
this space, but now NLP and NLP specific bots are found everywhere. Whilst this
significant improvement is evident through effective NLP, the majority of Bots
deployed today still fall short of providing the user with a truly intelligent
Our approach empowers workers across an organization at all levels providing access to the most up to date knowledge, retrieving answers from the most recently published versions of Policies and Procedures wherever they reside on the network. We get the right answers from the sources of truth, and remove the costly creation and maintenance of typical FAQ data that supports most chatbots. At the same time our smart technology eliminates the risk associated with users getting the wrong answers from out of date FAQ data.