Now, in 2025, the first quarter of the 21st century is behind us. During this time, we saw the rise of the Internet, mobile ...

This is week 2 of a 7-week series on data governance, exploring its impact on business outcomes, AI, and data management.

Document summaries enhance RAG systems by providing context, improving response accuracy, and addressing user assumptions.

As Google’s Project Mariner pushes the boundaries of what’s possible with AI agents — apps that can autonomously execute complex tasks—we must consider the broader implications for enterprise ...

Effective data governance enhances data quality, drives informed decision-making, and fosters compliance. By managing data ...

Data has always been at the heart of business decision making. The quality of data, therefore, has an immense impact on business results. And now the rapid emergence of Gen AI has placed an even ...

Welcome to the first part of our Quality Engineering series! In this blog, we’ll explore how Quality Engineering aligns with testing, using a model to visualize the interrelationships of various ...

eXplainable artificial intelligence (XAI) aims to provide a reasonable explanation of the decisions taken by black-box AI models. This ensures the transparency of the employed models by transforming ...

In the age of Artificial Intelligence (AI), personal data has become one of the most valuable resources for businesses seeking insights and building sophisticated models. Companies in fields ranging ...