Enterprise AI is evolving rapidly, with trusted data and modern infrastructure playing crucial roles in its success. As organizations increasingly rely on AI to drive decision-making and innovation, ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms — driven largely by the explosive rise of GenAI and large language ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

In the current landscape of pervasive connectivity, data has become an indispensable asset for enterprises, particularly within the automotive sector. According to a 2019 McKinsey & Company report, ...