Skip to main content

Gartner Hype Cycle for Digital Banking Transformation 2019*

According to Gartner,

To obtain clear near-term ROI and to build enterprise knowledge and skills in the area of NLP, planners should leverage NLP applications such as language-generation applications that produce natural language descriptions of tabular data, making it easier for many to understand.

Gartner Hype Cycle for Digital Banking Transformation

Download the report in which we believe you will discover how to embrace the transformational power of innovative technologies such as Natural Language Processing (NLP), and assess their potential impact on designing new business models.

 

💡 What is Natural Language Generation?

Natural Language Generation (NLG) is a subcategory of Natural Language Processing (NLP). It turns structured data into written narrative, making data universally understandable. It is also instrumental in automating the writing of data-driven narratives with varied potential use cases including financial reports, clinical studies, sales meeting minutes, and more.

 

*Gartner, Hype Cycle for Digital Banking Transformation, 2019, 1 August 2019, Alistair Newton

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 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. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from YSEOP.

Access the full content