Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

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 ...

Abstract: The motivation of this paper is to be able to generate high-quality (Structured Query Language) SQL language sentences in terms of syntax and semantics so that they are intended to achieve a ...

Applications and reference implementations demonstrating how to build AI-powered solutions with Oracle technologies. These complete, working examples showcase end-to-end implementations of AI ...

Mastering Google BigQuery in 2026 can open doors to high-demand data roles. Explore the best BigQuery training programs and certifications that build practical skills and boost your chances of landing ...

This is the official repository for the paper "E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL". Translating natural language queries into SQL (Text-to-SQL) is a critical task for ...

Launch Snowflake's Cortex Agents to integrate and process structured and unstructured data at scale. Utilize Cortex Analyst for SQL generation and Cortex Search for unstructured data retrieval.

A new research paper from Google DeepMind proposes a new AI search ranking algorithm called BlockRank that works so well it puts advanced semantic search ranking within reach of individuals and ...

These books cover everything from beginner SQL queries to advanced database architecture. Perfect for developers, data analysts, and backend engineers. Learn performance tuning, indexing, ...