Search Engine Land

GraphRAG: What entity-first retrieval means for SEO

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
InfoWorld

Contexts graphs, AI memory, and enterprise knowledge: Are decision traces enough?

A context graph could capture the full context, reasoning, and causal relationships behind critical business decisions. It’s a powerful idea. A December 2025 paper from Silicon Valley venture capital ...
jech.bmj

Who is the expert? A process guide to incorporate lived/living experience into directed acyclic graphs: an applied example from HIV research

Aim Causal inference relies on correct background knowledge, which epidemiologists generally understand to come from academic experts. Our community-engaged study augments scientific domain knowledge ...
IEEE

LLM-Driven Multimodal Knowledge Graph Construction for Industrial Process With Prompt Optimization and Fuzzy RAG

Abstract: The industrial flotation process involves multimodal data and cross-procedural knowledge, presenting significant challenges for knowledge system management and traditional knowledge graph ...
Frontiers

Augmenting large language models with psychologically grounded models of causal reasoning for planning under uncertainty

Large Language Models (LLMs) have come a long way in their ability to solve a wide range of problems. Yet, LLM decision-making still relies primarily on pattern recognition, which may limit its ...
IEEE

Causality-Inspired Graph Neural Networks for Cross-Modal Retrieval

Abstract: Multimedia data have rich semantic knowledge, and cross-modal retrieval (CMR) methods are able to explore their correlations. Graph neural networks (GNN) can represent complex connection ...
VentureBeat

Chronosphere takes on Datadog with AI that explains itself, not just outages

Chronosphere, a New York-based observability startup valued at $1.6 billion, announced Monday it will launch AI-Guided Troubleshooting capabilities designed to help engineers diagnose and fix ...
IFLScience

If Correlation Does Not Mean Causation, How Do Scientists Prove Stuff?

Russell has a PhD in the history of medicine, violence, and colonialism. His research has explored topics including ethics, science governance, and medical involvement in violent contexts. Russell has ...
leewayhertz

Causal AI: Importance, use cases, benefits, challenges and implementation strategies

In an era where data-driven decision-making dominates the business landscape, traditional AI has excelled at predicting outcomes based on past occurrences. Yet, as our challenges grow in complexity, ...
Forbes

What Georgia-Pacific Is Doing With Causal AI Is Remarkable

While Generative AI has sparked great excitement, a form of artificial intelligence called Causal AI might offer much greater potential. Causal AI offers the tantalizing promise of being able to ...