Creating the best AI chatbot means understanding AI

Do you need a chatbot that can pass the Turing Test?

In business, there is a different definition of AI, a much more practical one than theoretical. It is the automation of sentence analysis and here, while Natural Language Processing (NLP) has made very rapid advances even in the last few years, the point is to create operational software that delivers return on investment, rather than take a step towards self-awareness among machines. In every actual use-case in 2019, an NLP model that can, for example, identify with near-human accuracy (which is now possible) that a customer has lost his or her luggage and needs assistance is more effective than one that is attempting to impersonate a human and only succeeding to a limited extent.

It’s a case of not needing a (costly) sledgehammer to crack a nut.

In this sense, SnatchBot’s AI is state-of-the-art. Our NLP engine represents a major investment by us, but it is the perfect tool with which to build chatbots that deliver immediate ROI. You can hone in on the exact topics that you need the chatbot to understand and you can do so without having to employ people with coding skills. Just follow our guide and train your NLP models, or ask us to do this for you.

This is why SnatchBot recently appeared in a Forrester report: Now Tech: Chatbots For IT Operations, Q1 2019.

Below, is an infographic based on a design by Techjury.net, which details the milestones and indicates the future of AI.