The asset & wealth management industry is facing a perfect storm of pressures: margins are being squeezed, cost pressures are ...

Upholding data governance standards is crucial for maintaining data integrity, security, and compliance, but it can also introduce complex processes that may hinder productivity. You might worry ...

AI is not a magic bullet. It cannot fix fundamental business problems overnight. Instead, it amplifies what’s already working ...

Data governance encompasses the practices and processes that ensure high data quality throughout the lifecycle of the data. This includes establishing policies, standards, and procedures to manage ...

Keeping your data house in order on a daily basis may be no easy feat, especially in today’s digital world, but it has significant downstream impacts on the cost and efficiency with which data can be ...

Implementing agentic AI in enterprise requires a strategic framework and careful orchestration to maximize its value and avoid common pitfalls.

The rise of artificial intelligence has brought unprecedented opportunities, but it has also raised significant concerns ...

Artificial intelligence has become a transformative force across industries, driving innovation, automation, and efficiency.

This is week 4 of a 4-week series on data governance frameworks, their structure, and a comparison of their approaches. We will take a 4-week walk through how data governance frameworks can be applied ...

Data governance software is a specialized tool designed to facilitate effective management and control over an organization’s data assets. It integrates various functionalities to enhance data quality ...

BearingPoint’s Ellie Fitzpatrick discusses the growing importance of data and AI literacy in order to best leverage its ...