Name the hot buttons about generative artificial intelligence, and they often center around data. Concern over understanding the context of data stems from the need to ensure that AI models are ...

Artificial Intelligence is expanding rapidly, but it faces a significant barrier: data privacy. Companies hold massive ...

A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

Data mining and knowledge discovery represent an integrative process through which large, complex and heterogeneous datasets are transformed into actionable insights. This field encompasses a series ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

What if your AI could not only retrieve information but also uncover the hidden relationships that make your data truly meaningful? Traditional vector-based retrieval methods, while effective for ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...