According to Tomoko Yokoi of IMD, knowledge scientists may hold the key to unlocking AI's full worth by providing ...

Google is continuing its work of adding AI to Search—whether you want it or not. Since March, the company has been testing ...

If you plan to use machine learning for research, consider ChatGPT’s shortcomings and inquire about AI tools’ training data ...

Microsoft launches Discovery, its new enterprise AI platform from Build 2025, set to accelerate scientific R&D via collaborative AI agents & a graph-knowledge engine for faster innovation.

One way to access a knowledge graph is by using a query language like SPARQL to find entities and navigate their connections. Ideally, a vector search approach would improve keyword search for an item ...

It can listen to conversations (for example over Zoom ... “We are building out a knowledge graph,” said CEO Tarjei Vassbotn in an interview. Tana is a major fast-flowing river in Norway ...

LinkedIn, for example, uses a knowledge graph to structure and interconnect data about its members, jobs, titles, and other entities. It uses its knowledge graph to enhance its recommendation ...

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 ...

Knowledge graphs—machine-readable data representations ... on so it interprets data correctly—by using updated data, for example, or being locked out of sensitive data. Data architects have ...

Knowledge graphs “incorporate semantics and context ... “Their ability to traverse data efficiently allows for faster and more insightful discoveries.” For example, with LLMs and RAG systems, “using ...