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Home Technology

Tapping genAI potential for unstructured data requires expertise, study finds 

FutureCIO Editors by FutureCIO Editors
June 12, 2024
Photo by cottonbro studio: https://www.pexels.com/photo/person-using-a-white-computer-set-5185155/

Photo by cottonbro studio: https://www.pexels.com/photo/person-using-a-white-computer-set-5185155/

The "Unstructured Data and GenAI Survey" executed by Enterprise Technology Research (ETR) on behalf of Qlik® highlights the urgent need for expertise in leveraging generative AI (GenAI) on unstructured data.

Brendan Grady

"With many sources citing that unstructured data makes up to 80% of the world's data, it is no surprise that enterprise leaders want more real value from this untapped source," said Brendan Grady, general manager of Qlik's Analytics Business Unit. "Yet, our survey highlights that nearly 70% agree their organisation is not well equipped to understand how GenAI can be leveraged on their unstructured data."

Unstructured data and GenAI

The study revealed that despite widespread interest in GenAI, only 22% of respondents indicate they are making "significant" investments in AI technologies.

The survey also indicated that respondents see opportunity in unstructured data to enhance efficiency (62%) and drive innovation (31%).

However, despite seeing its potential, only 16% have already purchased a tool designed to deliver insights from unstructured data, and most efforts remain in the early or pilot stages.

Bridging the gap

Erik Bradley

"The findings from our survey underscore a critical challenge facing enterprises today: the gap in the expertise needed to harness the full potential of generative AI for unstructured data," said Erik Bradley, chief strategist & director of Research at ETR. "While the appetite for leveraging unstructured data is high, the lack of specialised skills and appropriate tools is a significant barrier."

Bradley urged organisations to invest in bridging the knowledge gap and integrating advanced AI capabilities into their existing analytics frameworks to take advantage of the opportunities presented by GenAI.

Related:  DeepL unveils Language AI with voice translation solution
Tags: Artificial Intelligencegenerative AIQlikunstructured data
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