Conversational AI Maturity Model

Research Note

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Summary

Natural language conversations are rapidly becoming the preferred method of interaction between humans and computers, but not all conversations are equal. Just as the “How’s it going?” we exchange in a casual conversation is substantively different from a deep discussion of politics, religion, or one’s medical condition, the range of inquiries handled or responses provided from modern systems is equally broad. In this note we outline a framework for comparing the depth of an AI-powered conversational interface according to its function in a specific application and discuss significant trends.

Research Note Details

Topic: AI, Conversational Technologies
Issues: What are the key differentiators for conversational AI applications?
Research Note Number: 2019-46

Length: 13 pages
File Size: 4.6 BM 
File Type: Portable Document Format (PDF)
Language: English
Publisher: Aragon Research
Authors:

Adrian Bowles

Adrian Bowles, Former VP Research and Lead Analyst