Published: 23 January 2024
Data management is costly and time-consuming. Data and analytics leaders seek to transform the data management practice, ease data access and reduce the technical skills barrier with GenAI. This research guides you through adoption, showing what to expect from vendors and how to identify risks.
Generative AI (GenAI) is set to transform data management technology and platforms: Natural language will become the data language. Capabilities are being delivered across all segments of data management tools, but currently fail to meet the ideal.
Developing data literacy and GenAI skills across both data specialists and data consumers will be crucial to mitigate the risk and assess the accuracy of GenAI.
Improve the accuracy of GenAI on top of enterprise data by building a strong metadata practice, including rich semantics.
Build data literacy and GenAI skills within your organization to safely use these emerging data management technologies and
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Analysts:
Roxane Edjlali, Mark Beyer, Ehtisham Zaidi, Melody Chien, Nina Showell
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