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.

Data quality is vital for AI success, yet 36% of organizations fail to prioritize it, risking efficiency, compliance, and ...

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

Generative AI affords enterprises new capabilities to enhance value creation along the customer journey across sectors. Multi-modal content generation enables exciting ways to interact and engage with ...

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 ...

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 ...

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 ...