Important Topics: The GATE 2025 Data Science and Artificial Intelligence (DA) exam is a specialised paper introduced to ...

Data, of course, plays a key role in fueling AI, which performs most effectively and delivers the greatest value when fed ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

Customers want details on the mechanics of enterprise AI - can vendors deliver? Walter Sun sheds light on the specifics of SAP's responsible AI framework - and how expert agents, knowledge graphs, and ...

“Savanna is our next generation cloud-native graph database to enable the best cost-performance and flexibility for all sorts of workloads, including real-time queries and analytics on vast, knowledge ...

A knowledge graph is a collection of relationships between entities defined using a standardized vocabulary. It structures data in a meaningful way, enabling greater efficiencies and accuracies in ...

However, the learning process can utilise valuable global information in the entire graph. In this paper, we propose a Pattern-based Knowledge Graph Completion (PKGC) method that consists of three ...

They require a knowledge graph. 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 ...

incoming AI wave has been quietly emerging: large database models. Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been ...