How graph databases help banks detect organised fraud in real time

Response time stays predictable. In a relational database, the same check means self-joining an identifier table for each ...

Why can't AI answer the most important questions? Graph search for finding "connections"

One morning, news arrives that a factory supplying part P has stopped operations due to a disaster. What you want to know immediately is: "Which products use this part?" and "Which customers are we ...
cloud

Grounding agents in one context graph connecting semantic models you already trust

Give AI agents the definitions you already trust. Knowledge Catalog ingests Looker, BigQuery, dbt, Snowflake, Databricks, and ...
Tech Times on MSN

NVIDIA Kumo relational beats XGBoost on enterprise databases without feature engineering

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

NVIDIA 'Auto Ontology' Explained: A Mechanism to Teach AI Agents 'Corporate Language'

Prologue: 'How many active customers are there?'On Monday morning, the sales manager asks the AI agent, 'How many active ...
BIOENGINEER

AI System Recommends Traditional Chinese Medicinal Diets with Traceable Evidence

Researchers developed ShenNongDiet, a knowledge graph and retrieval-augmented generation system that answers medicinal diet ...
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Database Trends and ApplicationsOpinion

Franz Inc. Introduces AllegroGraph 9.1 to Further Advance Context-Aware AI for Enterprise Knowledge Graphs

Franz Inc., an early innovator in AI and leading supplier of Graph Database technology for Neuro-Symbolic AI solutions, is launching AllegroGraph 9.1-featuring GraphTalker 2.0, a major advancement of ...
cloud

New capabilities to power agents at scale with Google's Agentic Data Cloud

Learn about our latest advancements to delivering agentic-first experiences, borderless data, and trusted context for all ...
Tech Times on MSN

Graph architecture replaces transformer attention, extrapolating to 4 million tokens in linear time

GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

Jedify Launches Data Agents, Autonomous Analysts Built on Its Context Graph

Business teams can build and deploy AI analysts in plain language, powered by Jedify's context graph, with insights accessible from Slack, email or any MCP-enabled platformNEW YORK, Oct. 28, 2026 ...
BIOENGINEER

New Hashing Method Speeds Up Image and Text Search at Massive Scale

A new supervised cross-modal hashing method called SEGRH converts label co-occurrence into continuous semantic association ...
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NVIDIA Open-Sources Auto Ontology to Help AI Agents Generate More Accurate SQL Queries

NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...