What Is The Technology Behind AI?
One of the most significant progress of Artificial Intelligence regards Natural Language Processing (NLP), which enabled the emergence of novel techniques such as transformer-based language models (e.g., GPT or BERT).
NLP has recently made headlines because this technology has widely optimized the way to access, search, and store information. Due to the ever-increasing amount of data generated, NLP is becoming an increasingly popular tool to help process and manage information.
Particularly, businesses are employing it as an essential tool when it comes to leveraging the power of AI and extracting meaning from the large volumes of data generated every day.
What Is Natural Language Processing?
Firstly - if not yet clear - Natural Language Processing is a branch of Artificial Intelligence. Developed to analyze and process data and information, it aims to enable machines to understand, interpret, and generate human language, by performing tasks such as language translation and generation, sentiment analysis, or text summarization.
Although NLP is not a recent field of study, advancements in algorithms, the vast amount of data that is now available, and increased computing power have led to an unparalleled level of adoption for this technology. NLP is used in applications such as voice assistants, chatbots, or machine translation.
You surely encounter NLP technology every day, but you might not be aware of this! For instance:
- Google employs NLP techniques to retrieve pertinent search results based on the search term entered
- Siri by Apple, as well as Alexa by Amazon, utilize NLP and voice recognition to comprehend frequently used phrases.
- The chatbot popping up on a website will employ NLP to comprehend your inquiry and provide the most relevant response that corresponds to your question.
Natural Language Processing has emerged as a crucial field in the industry, especially with the ever-growing concern of managing, searching, and retrieving vast amounts of information and knowledge.
In today's digital age, businesses are generating more data than ever before, and the challenge lies in processing and making sense of this data. This is where NLP comes in as a powerful tool to help organizations extract valuable insights from their unstructured data.
By employing NLP systems, organizations find technological support from the inside, that endorses both employers and employees during their workflows.
How Does NLP Help in Accessing, Searching For, and Storing information?
NLP is a game-changer that can transform the way businesses operate. How can any organization not benefit from optimization when NLP simplifies business operations by automating tasks, improving efficiency, and saving valuable time?
By utilizing natural language processing, businesses can streamline their operations, support their employees, and enhance productivity by automating the translation, extraction, and summarisation of text. NLP can even respond to spoken commands, making it an effective tool for simplifying business processes and tripling efficiency, resulting in significant time and resource savings.
Analyzing and extracting information from various sources such as documents, service reports, emails, and customer reviews can be time-consuming, expensive, and mentally taxing. With the exponential growth of data, NLP streamlines the workflows by extracting valuable insights from large volumes of information.
For instance, one of the main capabilities concerning NLP while Searching for Information, is Answer Extraction or Information Extraction (IE). It relates to the process of filtering a large amount of text data, from the whole set of documents that the organization uploads into the system. NLP technology can distill the files and sort out the relevant knowledge from the documentation, automatically.
Then it enables the Question Answering (QA) technology, by which information can be rapidly extracted from any machine. You just need to formulate the question. The technology will pass through the pipeline of documents to retrieve the answer quickly.
Suppose you are a service technician employed by Voith, a machine manufacturer for industries including energy, especially hydropower. As you carry out maintenance work on a hydraulic Kaplan Turbine, you require guidance on the next steps. Fortunately, your company has equipped you with a digital assistant, a mobile application that incorporates NLP technology. Simply by asking a question, you can access a wealth of information contained in organizational manuals and knowledge bases, with the answer being provided in seconds.
What is the benefit of this? Manually sifting through a set of documents to locate a specific piece of data can be tedious, time-consuming, and prone to errors. NLP makes this process automated so that organizations and their employees can save a lot of time - from hours to seconds -and force.
5 Techniques of NLP
The benefit of accessing and extracting information fast through AI technology is specifically provided by five different techniques:
01 Text Processing
Natural language processing can extract information from text data, such as names, locations, and organisations. This can help highlight only the required relevant knowledge over the tons of documents filled with information.
02 Text Summarization
Natural Language Processing can be used to automatically generate summaries of long text documents. Thereby, it would be easier to outline the key points, with no need to read through the whole document.
03 Question Answering
Natural Language Processing empowers systems to build answers to questions posed in the natural language. As we mentioned above, with this feature people can ask for specific queries when needed, saving time to search for information.
04 Sentiment Analysis
Natural Language Processing can be used to analyze the overall sentiment coming up from customer feedback or social media posts. The technology identifies and develops a semantic analysis of the text data, and the analysis of words used in the documents and their meanings (if there is a positive, negative, or neutral tone).
05 Machine Translation
Natural Language Processing can be used to automatically translate text from one language to another. This can help in accessing information in different languages.
Knowron Virtual Assistant Empowered by NLP Technology
At Knowron, we provide blue-collar workers with a virtual assistant that can extract the required information from the entire organizational documentation in only a few seconds. Natural Language Processing is our background technology, as the product also works with Answer Extraction from the QA and Text Processing.
With a B2B approach, our mission is to support service organizations to speed up their knowledge management and sharing, to help employees to get their job done faster by providing the relevant information right when this is needed, and ultimately save precious time to focus more on crucial tasks.
Our users will always be ensured with an assistant that provides them with an exact match search, reliable information, and fast answer extraction. All the features you need for a hassle-free workflow are available at your fingertips with one mobile app!
Find out more about our NLP engine:
