Conversational AI for Everyone: Conversational Design Beyond Jargon
In our human history, there are benchmarks that heralded our difference from many other creatures on this planet. Some of these benchmarks include discovering cooking and herbal medicine, forging iron, copper, and steel, or shifting from foraging to agriculture. Even before all of these, at some point, we began to talk and communicate in layered and specific ways. Communication was probably...
Voice and AI Chatbots: Using Intents and Entities in questions
When starting out building AI-driven solutions, including IBM Watson, Google Dialogflow, Amazon Lex, or others, the discussion always starts out with “Intents and Entities”. Not overly difficult, there are lots of descriptions out there on how these things are different. Intents are verbs, Entities are nouns, is the simplest and most common definition.
6 Positive Features of Chatbots in Contact Centers
Automation has always been part of the contact center world – and it is getting even bigger with the addition of chatbots. While they are in a basic stage now, as is with all things related to AI, chatbots are getting better the more we use them. Machine learning is different than human learning – it’s only as good as the data we feed it. Chatbots lack natural cognition to challenge inputs...
Increase ROI in Your Contact Center with Artificial Intelligence
Contact centers must streamline operations in order to remain competitive in the modern business landscape. Artificial intelligence has the ability to do this in ways that a strictly human team simply cannot. Many contact centers that are falling behind with the technology are also falling behind in performance. Let's take a look at some of the ways that artificial intelligence is used in the...
Trust and Artificial Intelligence
Despite the fact that Artificial Intelligence (AI) has become a household term over the last few years, studies show that there is still a widespread sense of trepidation around the topic. According to a report published by Forbes last month, when consumers were given a list of popular AI services, 41.5% could not give an example of AI that they could trust. Significantly, in verticals that...