Chatbot remains a catchword since the term was first invented. Basically the chatbots are the talk of the town as for the very first time a machine could trick people into believing they are chatting to someone instead of something. "Chatbot" were invented. Neither one could predict how common texting and messaging will be.
Over the passage of the last year, in Facebook Messenger alone, 100 000 chatbots were bent. Also, texting was at its peak and texts are sent around the world. Messaging apps were used more extensively than social networks. It's fairly easy for people to use chatbots to pay taxes, schedule a doctor's appointment, and book a apartment or a flight, and many more things. Still, as clever as they might seem, chatbots are anywhere near excellence in considerate a human.
As stated above, we are at the peak of texts. At the similar point of time, voice-driven technology moves advancing in huge leaps along with the expansion of speech recognition and natural language processing. It makes sense while texting the words per minute, a human can say much quicker at the same time edge.
Being the most easy way for a human to prompt his thoughts, using voice instead of texting will also be a vast leap for e-commerce businesses as there will be dozens of new consumer insights to capture and analyze. Few other things we can also study from the voice such as, Age: By analyzing one's tone and pitch, listeners could quite precisely tell how old that person is and other thing is Sexual Orientation: User guessed one's orientation by his voice with the accurateness up to some level.
Simply by hearing, recording, and tracking down a human voice, a bot of the future will be able to get a lot of significant characters of this customer identity. Businesses and enterprises will get highly benefit from knowing accurately who their customers are.
There's hope that bots of the future will be proficient of way more than just answering the questions they've been asked. Right now, even if a bot tries to validate activity, it happens in the wrong time, at the wrong place, and the wrong way. However, by analyzing customer's on-site behaviour, a bot might be able to be the one to answer the question that wasn't even requested yet.
Another reason why the bot should be the initial one to talk between the two is that humans are mostly afraid to open their mouths (or text) first. We fear to say a wrong thing. And even though strictly we know that the chatbot is not going to judge or criticize us, our brains are way less rational than our minds.
Hence, we, however illogically, still have high potentials for chatbots. The bots of the present don't quite fulfil those because most of our discussions have more to them than just words, the voice tone, gestures, context, etc. The hope is, bots of the future will be an enhancement over those we have now.
Right now, bots are combined to solve small jobs track orders, answer FAQ's, etc. However, it's not how it should be and, hopefully not how it will be. Coming years, bots will be universally, handling not one or two spheres of our lives, but each and every one of them.
We have all means to create an supporter that will escort us everywhere and provide us with seamless care we might not have to ask for minute things like setting an alarm, making us coffee, checking an inbox or news.
If our chatbots become voice-driven, it'll open vast possibilities for us. However, there also will be challenges and footraces to jump through. However, there also will be challenges and footraces to jump through. Right now, our bots merely perform the actions they've been told to perform like, no emotions, no excitement, no emotional support. However, in the future, we courage to have emotional Artificial Intelligence. All of the following will occur based on the context of the speech, the voice tone and speed of a folk.
- Able to Predict User Actions:
Right now, we have made limited practice out of chatbots. The most common one is customer support we hate doing it ourselves and frankly, human error does more harm than good to customer service.
However, the technology of deep learning that can be used by chatbot designers gives us new lookout at all the ways to use bots. For starters, based on the data collected from chats and the study of a company's website, the bot of the future will be able to forecast what products and goods would become a hit and which one is not worth of investments.
There are many things that'll help us to create the chatbots for the future, and definitely those will be beneficial for both businesses and user.