Faster internet and the speed of the cloud means a chatbot can respond to a customer almost instantly. This is not the case for a chatbot, which can have the ability to answer hundreds of questions from various customers. Quick replies - A human customer service rep needs to focus on one customer at a time to perform well and satisfy their customer’s needs.Many communication platforms, such as RingCentral, can integrate with chatbot software, helping you utilize them to improve your business (keep reading to find out how). The fact is, you don’t need a computer science degree to be a bot builder. Who knows what the next generation of chatbots will bring? And they’re only getting smarter, faster, and easier to use. Nowadays, AI chatbots have become so popular that there are actual chatbot competitions focused on passing the Turing test. An example of this is if it were to see “mother” anywhere in the person’s message, it would ask the person about their family. It was pre-programmed to move conversations forward in a meaningful way. The first chatbot solution would not come about until 1966. Naturally, this idea of a computer deceiving a person into thinking they’re interacting with a real human caught the interest of many computer scientists. The human judge must decide whether they’re talking to a human or a computer, based solely on the written conversation (live chat) they’re having. The test is meant to judge the ability of a computer program to emulate a real person in real-time. In it, he proposes what we now call the Turing Test. The first idea of a chatbot can be traced to Alan Turing and his famous 1950 paper, “Computing Machinery and Intelligence”.
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