For its part, biopharma company GSK maintains a knowledge graph with nearly 500 billion nodes that is used in many of its machine-language models, said Kim Branson, the company’s global head of AI, speaking ona panelata GNN workshop. LinkedIn uses GNNs to make social recommendations and und...
this process allows knowledge graphs to identify individual objects and understand the relationships between different objects. This working knowledge is then compared and integrated with other datasets, which are relevant and similar in nature. Once a knowledge graph is complete, it allows question answ...
GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it becameopen sourcein 2015. GraphQL and REST are both stateless, use a client/server model and use HTTP. GraphQL solves for some limitations of REST, for example, providing the ability to more a...
What is the future of artificial intelligence and AI technologies? Latest Artificial Intelligence Insights Conferences for AI Leaders Why does your organization need to define artificial intelligence? Gartner defines artificial intelligence(AI) as applying advanced analysis and logic-based techniques, includin...
NovemberSampleRole-based access control in Generative AI applicationsexplains how to use Microsoft Entra ID and Microsoft Graph API to roll out granular user permissions on chunked content in your index. OctoberSample"Chat with your data" solution accelerator. End-to-end RAG pattern that uses Azure...
What are the concerns surrounding generative AI? The rise ofgenerative AI is also fueling various concerns. These relate to the quality of results, potential for misuse and abuse, and the potential to disrupt existing business models. Here are some of the specific types of problematic issues pose...
The knowledge graph inference engine is used to analyze the collected network data and quickly locate the root causes of faults. Unknown faults are learned and inferred, helping O&M personnel deeply explore the root causes of these faults. ...
How generative AI can improve knowledge management Related Terms What is a knowledge graph in ML (machine learning)? In the realm of machine learning (ML), a knowledge graph is a graphical representation that captures the connections between ... See complete definition What is data transformation...
Multivariate Anomaly DetectionDetect anomalies in multiple variables with correlations, which are usually gathered from equipment or other complex system. The underlying model used is a Graph Attention Network. Univariate Anomaly Detection The Univariate Anomaly Detector API enables you to monitor and detec...
A typical website structure looks like arooted tree graph, in which the home page is the root. The pages that are linked out from the home page are branches, and from there, each page has additional branches sprouting from it. These branches then link to each other. ...