InfoWorld

Your LLM writes good SQL. That’s not the same as safe SQL

Your model will keep getting better at writing SQL. To make it trustworthy, nail down the access rules before tuning for ...
citybiz

Tursio Lets Credit Unions See What Every AI Query Costs and Search Data Under Their Existing Security Rules

Credit unions and other regulated organizations using Tursio can now see the cost of each AI query, set daily spending... Read More ...
aijourn

PuppyGraph Raises $10M to Tackle the SQL Problem Stalling AI Agents in Production

PuppyGraph raised $10 million to rethink how enterprise AI agents query business data, as CEO Weimo Liu challenges Neo4j and ...
InfoWorld

PuppyGraph adds AI schema builder and MCP support to help ease enterprise agent adoption

The additions aim to help developers reduce complex data joins and query latency as enterprises scale AI agents.

Google’s next-gen Gemini 4 Hydrogen AI model is here, touting faster intelligence for all

Merely weeks after introducing the Gemini 4 Carbon and Gemini 4 Argon frontier AI models, the company has today launched ...

Why Was Klaviyo Able to Open Up Its Internal DWH with Only 90 Tables? — 3 Steps to Achieving 0 Rows Leaked and 87% Nightly Memory Compilation with a 6.5ms SQ…

Many companies are working on connecting AI agents to their internal data warehouses (such as Snowflake or BigQuery) to allow ...

Tursio Adds Cost Controls and Mirrored Governance for AI Search

New features show the cost of every query, let teams set spending budgets, and mirror the access rules customers ...

CodeQL's 'ai threat model' won't start without defining sources — 8 items for an LLM Output Source Contract

I added threat-models: ai to my CodeQL workflow. Now I want to think that if LLM output flows into SQL execution or a shell, ...
cloud

Semantic aggregation over millions of rows in BigQuery with AI.AGG

System logs generated by globally distributed microservices often hide subtle degradations (like memory thrashing or systemic ...
Edex Live on MSN

GATE 2027 DA preparation: Three-year question paper analysis reveals high-weightage topics and study priorities

Candidates preparing for the GATE 2027 Data Science and Artificial Intelligence (DA) paper can use the previous three ...
GitHub

Auto Ontology

Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for ...