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mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific ...
AI systems need humans to guide them with the unique enterprise history, policies, changes, and institutional knowledge ...
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or ...
Overview SQL still leads, but newer query languages are rising fast in usage and demandGraph-based tools like Cypher and GQL ...
Data scientists will get access to what Google calls a “reimagined” AI-first Colab Enterprise Notebook experience available in BigQuery and Vertex AI, featuring a new Data Science Agent in preview ...
Sajal Rastogi from Kyvos Insights explains why he thinks the use of GenAI and semantic layers is a gamechanger for ...
JetBrains has released IntelliJ IDEA 2025.2, adding offline AI-powered code completion for Java and support for Java 25, the next long-term support (LTS) ...
New AI agents handle pipeline creation, data science workflows and analytics queries autonomously, potentially reshaping how enterprise data professionals spend their time.
Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, today announced financial results for its ...
With safer design, more robust reasoning, expanded developer tooling, and broad user access, GPT-5 reflects a maturing AI ecosystem.
Google Cloud’s new AI agents, Gemini APIs and agentic AI innovation includes Google products for GitHub, Google Data Cloud, ...
Data science techniques are the tools in a data scientist's toolbox — each one suited to a specific kind of problem. Whether it's sorting, predicting, or discovering hidden patterns, there's a method ...
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