Responsible organizations understand that privacy governance is essential for the systematic and compliant management of personal data and for maintaining customer and stakeholder trust. In a world ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.

Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...

The BFSI industry is a highly regulated sector wherein companies need strong data controls to comply with stringent standards ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

There’s a popular concept that frames control as three concentric circles. At the center is the circle of control (where everyone wants to be). Surrounding it is the circle of influence, where one has ...

Data and analytics governance is a comprehensive framework that outlines a strategy to implement the university data governance policy with the processes and guidelines necessary to manage the ...

Precisely has completed the FedRAMP authorisation process for its Data Integrity Suite for Government, Data Governance Service.  The product started the ...