Integrating Natural Language Processing into Business Operations

CIO Review Europe | Friday, June 17, 2022

The predictive texts are already an instance of natural language processing technology. However, its uses extend far beyond completing sentences in texts and emails.

FREMONT, CA: In today's world of texting, natural language processing is as common as selecting the right vocabulary without even realizing it. NLP is frequently used to assist humans in typing faster by getting hold of predicted text. Since humans converse using a variety of languages, NLP acts as a link between the human and computer worlds. NLP is a type of artificial intelligence that helps computers understand what we write and say. After all, humans are complex animals who employ a plethora of euphemisms. Simultaneously, NLP can assist non-techies in becoming more comfortable with computers, programming, and data. NLP can be used for more than just directing Alexa what song to play or predicting Gmail messages. It's quickly becoming a valuable tool for professionals in a wide range of businesses all over the world.

1. Lean on NLP for better-informed business decisions: NLP can aid in helping parse the data along with helping clients to spot trends. It also uncovers opportunities by deciphering massive data sets. However, the best part is, that it is not necessary to know Linux or Java to acquire any answers. An NLP-powered programme is sufficient to carry out extremely precise tasks in every language. Even though NLP software may not always produce perfect results, it can be extremely accurate. Furthermore, thanks to machine learning, its responses can become more dependable over time.

2. Relieve labour shortage burdens of the team: now that the Great Resignation is in full swing, finding talent can be arduous.NLP is proving to be a godsend for companies wanting to stay in business. In the medical field, for example, NLP is being used to speed up coding. An artificial intelligence/NLP engine improves coding speed and precision in healthcare. Medical coders will continue to be in high demand, but supply will be limited. New technology, can speed up medical coding and gives human coders more time to repair costly mistakes, enhancing accuracy and potentially allowing institutions to direct more resources toward where it is needed the most. As a result, many providers and systems rely on integrated natural language processing tools to analyse statements and conduct other tasks. Even when given unstructured material, NLP can identify essential phrases and specific words. NLP software can then suggest methods to arrange the data and highlight key insights based on those things. This allows healthcare workers to get toward their goals despite changing job markets.

3. Enhance customer experience of the company: While many companies have employed NLP to power their chatbots, chatbots are merely the tip of the iceberg when it comes to customer service and support. NLP can be used to create individualised relationships at a much deeper level. Lilt, for example, has interfaces that allow customer service employees to communicate with buyers via sophisticated translation tools. Customers can communicate with a customer service professional in real-time no matter where they are. The capacity to instantly translate any sentence in a worldwide market might be a crucial difference. Lilt's success, which includes a recent USD 55 million Series C fundraising round, demonstrates how much organisations appreciate NLP-focused technologies.

At the end of the day, the whole of human intelligence will almost certainly never be completely cloned by NLP. As is, it is an incredibly valuable asset that can assist any size business gain a competitive advantage.

Read Also

follow on linkedin follow on twitter

Copyright © 2022 CIOReviewEurope. All rights reserved.         Contact         |         Subscribe