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

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

Why does enterprise AI stall at scale? Leaders from Salesforce, IBM and Snowflake say the answer lies in how your data moves ...

Committed to addressing the challenges of outdated documentation and fragmented data processes, it aims to streamline data model design, change management, and integration, ensuring transparency ...

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 Collection and Preparation: Data preparation is an important step in training an AI model and includes organizing data into a format that can be used to create effective AI models.

Asia Banu Shaik has spent the better part of two decades engaging in this field, utilizing her experience in data architecture and engineering to enable modernization initiatives. In her previous ...

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 ...