Industry Research: GenAI & text-to-SQL
Bloor Research on successful
text-to-SQL implementation
Get exclusive insights from Bloor Research on unlocking the potential of LLM-powered text-to-SQL—safely and effectively.
The analyst report explores how enterprises can successfully implement text-to-SQL capabilities using large language models, while minimizing risk and ensuring reliable performance at scale.
The analyst report explores how enterprises can successfully implement text-to-SQL capabilities using large language models, while minimizing risk and ensuring reliable performance at scale.
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Learn from the experts:
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How enterprise data improves LLM reliability
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How LLMs can access structured
data using SQL -
Overcoming issues like schema awareness and effectiveness with AI-generated SQL
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Data security and privacy best practices
- Using GenAI and structured data for customer-centric applications
Vital Market Insights and Recommendations
"LLMs may generate SQL based on incomplete knowledge of the corporate data structures and so may result in code that fails to execute. Worse, it may generate SQL that seems to work but brings back misleading results."
Learn how to overcome these issues.
