Ever since large language models (LLMs) exploded onto the scene, executives have felt the urgency to apply them enterprise-wide. Successful use cases such as expedited insurance claims, enhanced ...

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 ...

Discover the untapped potential of Schema Markup. Learn how to build a content knowledge graph to enhance your website's visibility. You probably know Schema Markup for its ability to help pages ...

AI code generation for accelerating software development is gaining significant attention these days. However, this could lead to a growing bottleneck in managing all aspects that occur after ...

Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...

Knowledge graphs and ontologies form the backbone of the Semantic Web by enabling the structured representation and interconnection of data across diverse domains. These frameworks allow for the ...

Knowledge graphs have existed for a long time and have proven valuable across social media sites, cultural heritage institutions, and other enterprises. A knowledge graph is a collection of ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in the equation. Enterprise AI tends to default to large language models (LLMs) ...

The Process Intelligence Graph, according to Celonis, provides enterprises with control and governance of their core enterprise data. This means less uncertainty when feeding AI models with data.