Conversational AI and Knowledge Graph

Conversational Artificial Intelligence


This report names knowledge graphs as one of the core AI technology driving material performance Improvements to conversational AI offerings.

Grab the Report

What's Inside?

“Recent advancements in core conversational AI technologies (such as foundation models, knowledge graphs and NLU) are significantly improving model intelligence and translation quality, and are materially augmenting model performance.”*


As you dive into this Gartner report you’ll notice knowledge graph is continually mentioned as an enabling technology behind many AI capabilities.

Report recommendations include:

connect-data-icon“Drive faster market adoption of [knowledge graph] KG by actively investing in educational activities to help buyers understand the benefits by using customer success stories and the optimal use cases for this technology.

Focus on customer experience use cases, such as recommendation engines and digital sales and service channels (namely, virtual assistants) as these are the low hanging fruits bringing unique value to the user.”*


semantic-data-iconGrab this report for a better understanding of the opportunities knowledge graph can provide your organization as you explore your AI future.

“The simple fact is that clinical trial data is increasing and including more types of data (i.e., wearables), which are proliferating exponentially, and tools for managing and storing clinical data must scale to keep pace.”*

Grab the Report


* Emerging Tech Impact Radar: Conversational Artificial Intelligence, anielle Casey, Annette Jump, Gabriele Rigon, Annette Zimmermann, Milly Xiang, Roberta Cozza, Erick Brethenoux, Jeffery Skowron, Svetlana Sicular, 31 October 2022

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.