Learn how LLMs are transforming schema matching through semantic reasoning while deterministic validation keeps enterprise ...
Learn how to transform an Excel table into a live, interactive website with a searchable directory and visual dashboard ...
Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.
Abstract: Nowadays, the data used for decision-making come from a wide variety of sources which are difficult to manage using relational databases. To address this problem, many researchers have ...
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...
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Google Research team has announced the launch of Gemini-SQL2 on X. They described this system as a breakthrough text-to-SQL capability powered by Gemini 3.1 Pro. Gemini-SQL2 posted 80.04% execution ...
Mora has opened public access to its AI-native analytics platform, positioning itself as a data tool rebuilt for the AI era. The premise is direct: a person asks a hard revenue, churn, or product ...
We discuss some of the best database tools for DevOps developers and DevOps engineers. Learn DevOps database software. Database DevOps tools can help developers automate and orchestrate database ...
When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...
Build a local graph of database schema objects, SQL artifacts, and relationships so agents can search, validate, analyze, and reason about database changes without storing business row data by default ...