NLP, which we know as Natural Language Processing, is a very helpful program communication tool that has transformed the world of AI analytics. This time, we would look at its usefulness in the BI set up.
Natural language Processing is a combination of machine language, linguistics and artificial intelligence. It puts together the brilliance of computer learning and human perception. In practice, it is a bridge between the advanced worlds of machine language and human language. It bridges both worlds so conveniently that they would understand each other with much ease.
The objective of this program is to make computers receive instructions from humans and process them conveniently without the need to be given lines and lines of computer language and codes by some techie guy with some degree from a computer engineering college. It makes it possible for AI to communicate effectively with humans of any category in normal human language. For the humans, it is to enable them us easily give valid instructions to computers without the need to transcribe the instructions into computer language codes and all that.
In our present day computer era, NLP is used by Apple in the development of Siri, in Google’s assistant and Amazon’s Alexa, among others. If you are conversant with these programs, you would realize the amount of convenience they offer you and the level of adaptability they possess in order to process your message and provide responses.
They have been useful to many an entrepreneur because of the advanced level of combinations they carry out for users. Looking back, we would realize that much has been done in the field of artificial intelligence and much more through the introduction of Natural Language Processing.
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Table of Contents
NLP Operation
NLP works via a cloud-based articulation of different pieces of information and properly communicating it to you. In doing this, the requested information is retrieved from the cloud base and delivered in human language. Generally speaking, the AI component of NLP makes the conversions between the machine language component and the linguistic component of NLP as is discussed below.
The mode of operation of the NLP is a combination of various independent processes by AI to give the final output. The processes are explained below:
- Syntax: One part of Natural Language Processing is syntax. It puts the individual partitions of words given to it into wholes that are comprehensible to the computer. This involves the different parts of speech, stems, roots, syllables, segments and sentences. The program effectively assimilates these bits to arrive at identifiable sets of codes which are then used to search the database using the programmed algorithm.
- Semantics: This is another step in Natural Language Processing. It involves the gathering of larger units of input signals like words, phrases, clauses, sentences and compound words, and interpreting them into a way that humans would understand. It takes the work done at the syntax level and puts them together into more valuable information.
- Discourse: This is a bit more complex NLP activity than those previously mentioned. It involves the analysis of larger chunks of data. This kind of data include academic texts, analysis, reviews, summaries and descriptions. This part of NLP involves scanning through vast amounts of words and piles of databases to locate and analyse data to respond to instructions. This is multiple experts in data analysis and reviews will be hired to do, thus saving time and resources.
- Speech: This involves recognizing speech and creating it in text form as well as creating text as speech. This enables inter-conversions between machine language and human linguistics.
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NLP and BI
What is BI?
BI is Business Intelligence and is a vast field of enterprise by itself. Businesses run on objectives and the proper evaluation of these objectives account for the deployment of the best staff in companies by the business owners.
Human Intelligence vs AI
On the other hand, have you thought of the possibilities in automated analysis? The very purpose for which we need the best brains. Businesses would do better when the processing of vital pieces of information like market trends and consumer behaviour can be analysed by automated systems with various other capabilities that removes the limitations incident with human memory and intellect. Beyond just automated systems, AI gives a more robust analysis, like a conglomeration of the best minds in any field.
How NLP makes the difference
NLP is very effective in the forecasting of market outcomes. It reaches into the vast store of structured data and delivers the reliable business information requested in clear human terms. Market outcomes are determined by laws that have been in existence over time. These laws regulate the flow of business and predispose clients to possible lines of action. The business analyst takes advantage of these predictabilities to deduce patterns of market trends with reference to changes in variable factors. This, however, has its own limitations. This is where NLP comes in, by taking off from where human expertise stops. It fetches for the relevant data, deduces outcomes against powerful algorithms added with its AI component and communicates the result in the required business language.
NLP and the future
Given the changes and emergence of different types of businesses, uncertainties abound. Most businesses are now domiciled in the internet while others are exploring new fields. This variety and more imply that, going forward, business trends will be difficult to track. This makes it more necessary to go ahead of the game by using an encompassing program like AI in BI. AI, which is a vital component of NLP, does all the thinking for you. The market indices and projections, as well as possible approaches, can be generated.
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NLP Chatbots
One way that businesses have made the most use of NLP is in the integration of chatbots into their websites and related platforms. This has effectively saved the effort required to hire separate individuals to receive data and respond to enquiries from clients. Chatbots, as other NLP enabled programs, are supported with large sets of cloud-based information. These pieces of information are vital in the development of algorithms and BI-relevant information using AI with which enquirers are supplied answers whenever they call up on the organization, anytime, any day. Put simply, Chatbots are programs which interact with humans by effectively converting computer language into human language via a chat interface.
As stated earlier, the information delivered by chatbots are cloud generated and are communicated in the vocabulary it has been set which, in this case, is business language. Information from chatbots is reliable as it is not gotten from some limited library but a vast database spanning all open libraries. The sorting of the data is done by AI.
Conclusion
Businesses would be making more gains with NLP as the most intricate procedures are simplified into relevant comprehensible information that can be used by business operators to make valid and authoritative decisions on the appropriate directions to take in their markets.
Ideally, your business can just make the next market breakthrough with the right integration of NLP into its regulatory framework. With this done, you can be sure to effectively communicate your queries to your ‘cloud-based analyser’ and be sure of an instant response that is as authoritative as decades of accurate research.
To make a breakthrough in business intelligence today, organizations should incorporate advanced technical programs that can deduce trends and keep them ahead. This is more profitable when these programs require a human language medium for both input and output of signals and that is what NLP would do for you when incorporated into your BI reporting setup.
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