Published: 30 May 2024
Summary
GenAI has grown over the past year, with many vendors developing new products and features. Heads of data management can use these technologies to improve data management processes. In particular, GenAI helps mask and/or reduce the complexity of data management tasks, enabling more productivity.
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Overview
Key Findings
Generative AI (GenAI) will reduce the time and cost and will mask the complexity of data management tasks throughout all data management disciplines, including database management systems (DBMSs), data integration, data quality, metadata management and data governance.
GenAI has led to increased demand for specific technologies, including vector databases and vector search capabilities. Within the context of large language models (LLMs), organizations are looking to use retrieval-augmented generation (RAG) to support context-aware search results.
GenAI and LLMs can enable less skilled users to perform complex data management tasks, such as data integration and data observability. More vendors will support
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