Conversational AI Maturity Model

Research Note

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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


Adrian Bowles, Former VP Research and Lead Analyst