In an era where data is a strategic asset, organizations often falter not because they lack data—but because their ...

Committed to addressing the challenges of outdated documentation and fragmented data processes, it aims to streamline data model design, change management, and integration, ensuring transparency ...

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

This streamlines data estates, facilitates collaboration, enables the creation of generative AI (genAI) models that can access your data estate’s semantic meaning, and ensures everything is ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

Amid growing concerns over AI-generated misinformation and hallucinated outputs, Matthijs de Vries, founder of data infrastructure firm Nuklai, argues that better model architecture alone is ...