Learn about the basics of the technology, as well as the top considerations for a solution that delivers a great customer experience at scale.
Conversational AI is a complicated technology. Many aspects need to align to create the best solution for the best customer experiences, including Automatic Speech Recognition, Natural Language Processing, Dialog Management, Machine Learning, and more.
Learn about the basics of the technology, as well as the top considerations for a solution that delivers a great customer experience at scale.
Table of contents
Conversational AI: What is it and how does it work?
Conversational AI Solution: From simple to advanced
Which one is right for your business?
Conversational AI Cheat Sheet
Choosing the right solution for your business
Conversational AI has been instrumental in improving customer satisfaction, decreasing costs, and increasing revenue. However, Conversational AI applications vary in levels of complexity and can result in dramatically different end products, and thus different experiences, for the end-user.
With that said, before choosing a Conversational AI solution for your business, it is important to determine not only your business goals but also the experience you want to deliver to your customers. Our cheat sheet will help you better understand the solutions available today, and the experiences they deliver, so you can better evaluate which is the best for your brand.
Tractical and IDC both identify automated customer service as the number one use case for AI-enabled digital transformation. Source: Tractica (2019, Q4). Customer Service Virtual Digital Assistants; IDC (2019, Q4). Worldwide AI System Spend for Automated Customer Service Agents.
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