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Conversational AI—what we used to refer to as AI chatbots—involves the technologies behind application interfaces that accept human input in natural language as text or voice and produce context-appropriate responses.
Conversational AI uses natural language processing (NLP) technologies and machine learning (ML) to provide an engaging interface for applications. Conversational interfaces are able to interpret inputs using natural language understanding (NLU) technology and respond with a context-appropriate output or action.
Special Report: Using Conversational AI to Transform Your Customer Interactions
Communication is a key component of business. The interactions between an enterprise and its customers and the quality of those interactions determines the growth of the business. Conversational AI can be utilized to improve these interactions, therefore improving the customer experience and generating more revenue.
Good customer service ultimately leads to higher lead conversion and increased revenue. Implementing conversational AI allows your organization to interact with more customers and become more adept at meeting their immediate needs. The data gathered from Conversational AI tools also allows sales teams to gain more insights about the customer journey.
This special report provides research that can help you prepare for the growth of the Conversational AI market and how to utilize it to improve your customer interactions.
Four Key Trends in Conversational AI - 2022
This Research Note identifies four key trends that are driving the conversational AI market in 2022.
The Aragon Research Globe for Conversational AI, 2021
Aragon’s first Aragon Research Globe™ for Conversational AI examines 22 major providers in a market category that is growing at a very fast rate.
Hot Vendors in Conversational AI, 2021
In this Research Note, we highlight four providers who stand out in the conversational AI market based on their unique capabilities.
Four Key Trends Driving the Growth of the Conversational AI Market
This research note identifies four key trends driving the Conversational AI Market.
To view all of our research on the cloud visit our AI Index >
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Your Guide to Conversational AI: Improving Customer Experience
This eBook explains how to best implement conversational AI capabilities into your business processes to improve customer experience.
Digital Labor Is Here – Why You Need to Care
Digital labor has been here for a long time, but not in the way you might think of it. We’ve been using ATMs for years, which offloads some of the simpler tasks that a human teller would perform. An ATM is a form of digital labor in the sense that it requires you to interact with a computer application to deposit or withdraw money from your account.
Today, when you go into a McDonald’s, you generally order from a kiosk rather than a human. This blog talks about the rise of digital labor and why virtual agents and chatbots will come in many forms.
Chatbots VS Conversational AI: What's the Difference?
Day-to-day interactions – both personal and professional – are becoming increasingly digitized. It’s likely that you text, call, or FaceTime many of your friends and family members more often than you speak to them face-to-face. Likewise, business-to-customer relations are largely fostered in a digital environment.
- Artificial Intelligence
- Cloud
- Collaboration
- Content Management
- Digital Business
- Digital Marketing
- Digital Transaction Management
- Digital Workplace
- Employee Engagement
- Enterprise Business Architecture
- Enterprise Video
- Intelligent Contact Center
- IoT
- Sales Enablement
- Security
- Unified Communications and Collaboration