Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

In a world where it’s getting harder by the day to tell whether a paragraph, a painting, or even a scientific paper was ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

Knowledge graphs serve as the system of intelligence layer to build smarter, more accurate and grounded agents, turning data into actions that drive business outcomes in agentic AI workflows.

Rajeev’s fix? A slick, system-agnostic framework that fuses LLMs with knowledge graphs, turning data messes into goldmines. “It’s about actionable intelligence, not just raw numbers,” he says.

In the spirit of the last couple of years, we review developments in what we have identified as the key technology drivers for the 2020s in the world of databases, data management and AI. We are ...

How does the journey to a knowledge graph start with unstructured data—such as text, images, and other media? The evolution of web search engines offers an instructive example, showing how ...

Blue Yonder Transforms Supply Chain Management With New AI Agents and Supply Chain Knowledge Graph at ICON 2025 Provided by Business Wire May 5, 2025, 5:00:00 PM ...

It’s hard to ignore the elephant in the room: Generative artificial intelligence pretty much dominated the conversation in 2024, and going forward that’s not likely to change anytime soon.

If AI ever reached Data levels of intelligence, Millett suggested that copyright laws could shift to grant copyrights to AI-authored works. But that time is apparently not now.

New research shows that artificial intelligence ... A side-by-side comparison graph of the two signals shows ... (2023, May 2). 'Raw' data show AI signals mirror how the brain listens and ...