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DATALORE employs a generative strategy to solve the missing data transformation issue. DATALORE uses LargeLanguageModels (LLMs) to reduce semantic ambiguity and manual work as a data transformation synthesis tool. These models have been trained on billions of lines of code.
Largelanguagemodels (LLMs) are becoming an integral part of a risk and compliance program, and they require little to no training. LRR and governance data is enhanced with the LLMs hosted in watsonx to apply the banks various process, risk and control taxonomies.
The table only exists in the Data Catalog. This powerful solution opens up exciting possibilities for enterprise datadiscovery and insights. We encourage you to deploy it in your own environment and experiment with different types of queries across your data assets.
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