Artificial intelligence witnessed its hype curve in 2023, with ChatGPT, BingChat (now Copilot), and other AI assistants gaining millions of users worldwide. ChatGPT became the fastest AI-powered technology to be adopted, taking only two months to achieve 100 million monthly users.
While all the hype is one generative AI, natural language processing (NLP) is one area that immediately impacts modern industries. NLP technologies power search engines, process automation, sentiment analysis, and other business functions.
Here’s an overview of how NLP is aiding modern industries and how businesses can leverage the technology:
NLP In eCommerce
Natural language processing can analyze customer reviews, sentiments, and other incoming communications to identify key product features. With its speed, NLP AI can analyze massive amounts of data and metrics from all online sources, including websites, social media, customer forums, and more.
Organizations in retail and utilities can use NLP to analyze customer opinions and improve product/service delivery. NLP and machine learning power chatbots, enabling businesses to provide real-time customer service. The technology can recognize queries requiring technical support and automatically route them to the support team for further assistance.
NLP allows sales teams to craft personalised and targeted marketing and advertising campaigns and strategies. The technology can assist in creating the content, providing proofing tools like autocorrect and spell-checking to improve the quality of written and spoken campaigns. NLP can also analyze internal communications, which human resource and management teams can leverage to respond to employee sentiments.
NLP In Gaming
The gaming industry has many applications that NLP technologies can impact. Real money casino providers can use NLP to automate customer support, analyze player reviews, personalize game recommendations, provide responsible gambling communications, and more. NLP algorithms can analyze player preferences and behavior to recommend the best slots, table games, tournaments, and bonuses.
Casino owners can also analyze player complaints and feedback to understand and improve customer satisfaction. NLP chatbots can provide instant customer support, addressing user queries without human support. The chatbots can provide multilingual support, allowing players to ask questions in their native languages.
Casinos can also use NLP to analyze textual services and detect fraudulent transactions and suspicious activities. Other potential uses of NLP in gaming include voice-activated gaming interfaces and text-based tutorials for game rules, player strategies, and tips. NLP can also be employed to enhance responsible gambling initiatives. The technology can analyze player communications for signs of gambling problems and provide supportive messaging.
Natural language processing (NLP) AI is revolutionizing many industries by enhancing communication and data analysis. In the casino industry, this technology improves customer service and game experience. A prime example of innovation is the rise of web3 casino, which leverage decentralized technologies for a more secure and transparent gaming environment.
NLP In Healthcare
Natural language processing in healthcare helps with records analysis and pattern/trend identification. In the past, healthcare providers had little access to behavioral, environmental, and socioeconomic metrics at the point of care. However, recent developments in digital technologies have made this data easily accessible for providers in the fields and hospitals.
Healthcare delivery providers can use NLP technology to process structured and unstructured data from different sources. The Internet of Things (IoT) and consumer medical gadgets also reduce the effort of data collection and transmission. Doctors and patients can share health records and insights remotely, which results in improved outcomes.
NLP technology can also process data from electronic health records. HER systems often feature varied data types, including text, audio files, and non-formal communications. NLP can analyze the data to draw insights and deeper meanings. Healthcare providers can also leverage NLP customer support, internal communication analysis, and other standard functions.
NLP In Education
Speech and text are the primary interactions and communication in learning settings, which makes NLP a fitting innovation for the sector. NLP provides translation tools like Google Translate and Amazon Translate, as well as speech recognition software, voice assistants, text analysis, email filtering, and more.
Translation tools allow students to convert information into languages they understand for easy learning. AI chatbots and assistants also respond to student queries typed in natural languages. Speech recognition accommodates voice instructions for hands-free learning on the go. Tools like grammar checkers also help students write flawlessly, leveraging autocorrect to correct spelling errors automatically.
NLP technology can be deployed in word processing applications and productivity software to help streamline learning, writing, researching, and assignment submissions. The technology can summarize large PDFs to help students grasp the key insights or prepare for an exam. NLP semantic and sentiment analysis can also be used to analyze feedback from students, parents, and staff to improve services and the overall learning environment.
More Sectors for NLP Technology Adoption
Many other industries can leverage natural language processing capabilities. NLP technology is a central part of search engines’ functioning. People rely on search engines to find information online. Google, Amazon, YouTube, and other online platforms feature search tabs to help users search for information on their servers. NLP is at the core of using a search engine.
Digital, voice, and AI assistants all require NLP capabilities. These systems are already prevalent in smartphones, smart homes, and vehicles. As such, NLP impacts various sectors, from healthcare and education to manufacturing, auto, entertainment, law, retail, logistics, supply chain, and more. Most AI capacities are predicated on the ability to process natural languages.
