The constant improvement of cognitive interaction with humans due to enhanced Natural Language Processing (NLP) capabilities is a staple in defining the future of artificial intelligence. These progressions will lead to agile applications with improved coding that enable machines to communicate like humans.
The main goal for sharing AI research is to program machines and software to mirror the ability and improvisation of the human mind. When it comes to business processes, the underlying tasks for achieving human-like cognition is to automate repetitive tasks and lower priority work. This allows employees to focus on more critical tasks and implement long-term strategies and management. Due to the time allotted for more important work, organizations have been utilizing machines powered with artificial intelligence to accomplish routine jobs.
What Can Come From the Future of AI In NLP
As artificial intelligence becomes more equipped to comprehend human communication, more businesses will adopt this technology for areas that require communication where Natural Language Processing (NLP) would make a difference. AI technology is already being used in these areas:
The expansion of customer service to include emotionally intelligent chatbots has been growing exponentially for some time. Chatbots are capable of understanding text written in natural language and responding with answers to basic questions and problem resolutions. Some bots are equipped with NLP so intelligent that humans can’t distinguish if they are humans or robots. With further advancements, natural language processing will allow AI empowered virtual customer service representatives and voice assistants to vocally communicate to solve complex problems. Potentially, the bots could be used for technical support, providing responses and services and recording notes for field staff.
Smart Home and Office Assistants
We’ve all had experience interacting with virtual assistants via web and mobile devices. They're becoming more and more intelligent with completing basic operations by listening and understanding common voice commands. As AI technology continues to advance, soon we will have in-vehicle voice assistants with the power to perform tasks for various vehicle operations and other complex commands.
Homes furnished with smart amenities have in-home assistants that work with natural language processing to recognize commands. This technology and the advancement of the technology in voice assistants like Alexa will be capable of understanding young children who have not developed perfect speech, and people from different regions of the world who may have accents or speak multiple languages. They will not only be able to listen to voice commands but will respond in an innate manner.
Artificial intelligence is about replacing human decision making with more sophisticated technologies."
Healthcare Filling and Recording
Healthcare physicians spend more time filling health record documents than they they do consulting with patients. The medical industry serves serves billions of people a year. To prioritize time, prevent burnout for physicians and provide patients with better healthcare, AI technology powered by natural language processing can assist with dictating observations and details that will automate filling in the EHR.
Just a few years ago, robots that can move, think and speak like humans seemed out of reach, but they will become familiar soon. Humanoid robots that can function like humans are being developed to assist organizations with tasks that are time consuming and predominately unsafe for employees, including manufacturing. To achieve this, robots will need the ability to perfectly comprehend human speech, making natural language processing more important than ever. Without NLP being perfected, misinterpreted commands can lead to the robot performing an unwanted action.
There are many aspects of artificial intelligence and natural language processing that can be implemented in various areas of our everyday lives and everyday processes within organizations. Considering the current levels of competency within AI and machine learning-with continuous advancements in AI paired with NLP- the possibility of having machines that can listen and comprehend written and spoken language like humans make the future of AI exciting.