Is your revenue team ready for what's next?
The term artificial intelligence (AI) is a lot broader than most people realize. AI is used in our homes to help us make our personal lives easier to manage, as well as in our jobs to help us get things done. An AI solution can be as complex as a virtual coworker helping you scale repetitive, time-consuming tasks essential to keeping revenue teams successful.
To better understand the different maturity levels of AI, you first need to understand what Conversational AI and Conversation Automation are and how they can be tailored to different uses.
As the name suggests, Conversational AI is any technology that processes human speech to provide services. Probably the two best-known examples of Conversational AI are Siri and Alexa, which are so ubiquitous that they don’t even need to be explained. Alexa has entered so many homes she can be triggered when anyone on TV or radio says her name – a trick that a couple of late-night hosts have used to send their viewers scrambling to stop purchases they don’t want made.
And that is exactly the power of Conversational AI and Conversation Automation. At its most sophisticated it can literally respond like a person and start to do whatever is asked of it.
While all types of Conversation Automation are more complex than the average AI, there exists a range of complexities within its subcategories:
The differences seem fairly nuanced, but the real difference between them is the level of maturity used by each type of Conversational AI and Conversation Automation.
There are four levels of Conversational AI maturity, so you can tailor your service based on the complexity of the tasks to be completed.
The first two levels largely help to deflect costs. Conversational AI and Conversation Automation with third and fourth levels of maturity are connected to a lot more data, allowing them to learn and improve over time.
The difference between a Revenue Digital Assistant and a simple chatbot is all about the maturity of the technology powering the solution. Read this Maturity Model Report from 451 Research.
The most mature Conversational AI and Conversation Automation rely on machine learning to become more effective and accurate. Machine learning is a subsection of AI technology that mimics human learning. In the same way that humans learn by experience or instruction, machine learning improves AI over time via interactions and data. Just like you are able to make better decisions as you age because of your experience, AI is able to learn more when it has a larger amount of data.
The fourth level of maturity for Conversational AI and Conversation Automation is achieved by collecting vast amounts of data to feed into the solution. As machine learning establishes patterns within the data, the Conversational AI and Conversation Automation solutions improve and act in an advisor capacity to help make decisions.
Interested in exploring even more about how Conversational AI and Conversation Automation are maturing to empower revenue teams? Watch our webinar with 451 Research: The Augmented Workforce – A Maturity Model for Intelligent Virtual Assistant Adoption.
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