Artificial intelligence works in real-rime using highly sophisticated algorithms which can process language fast, bringing response times down to under 300 milliseconds at times. The rapidity of this speed also enables AI hold its conversation with users in a seamless and more engaging manner, thereby drastically improving user experience. AI-powered chat systems, for example, are said to enhance user engagement by 40% as they provide for real-time communication.
NLP or Natural Language Processing is the foundation of AI communication and permits communique among human and machines to be in each their very own languages. This simply refers to the sentiment analysis or context recognition that help AI in adapting its responses according to user inputs and thus providing a personalized interaction medium between the recruits. Gartner Research estimates over 70% of all customer interactions in the coming years will involve AI chatbots — from ecommerce, banking to travel and beyond — demonstrating the increasing need for these technologies.
Companies such as Google and Amazon have already invested vast amounts in real time AI Alexa processes voice commands and respond instantaneously. These deep learning models rely on huge amounts of data, a model might need tens or hundreds of millions of text samples to gain sufficient examples language patterns. Why this matters: This adds to the proof points of why real-time interaction is crucial in customer service and user satisfaction.
Along with that, many AI chat technologies will be using machine learning to fine-tune their conversational skills. The system trains over time as users interact, meaning that the more you test it out, the less of what is perceived incorrectly is decrease by 50%. This iterative learning loop shows how AI communication is fluid and systems can adapt in real time based on user behaviors.
According to Andrew Ng, Co-founder of Who helped develop Google Brain: “Artificial Intelligence is the new electricity”, It shows how AI can make significant changes in today's communication. The greatest way AI is changing the business ecosystem: by being able to participate in real-time conversations with customers, support becomes a possibility around the clock, and businesses can provide better assistance faster.
The big question then is — how can AI keep pace, both coherently and relevantly, with these conversations? This is due to their learning paradigm and how they consume datastreams in real-time. Using the features related to an message and empower AI the ability to not only response at in-time but also relying a real dialogue.
To learn more about this technology read on AI talk blog How AI can reinvent ai talk Experience.