Kirby Fell, who works with Watson at DICE, said a data governance structure should have a leadership level that sets and monitors policy, and an implementation level to carry out those policies ...

Data governance can improve data quality “by providing standards for data entry and information gathering that enhance the efficiency of the data collection process,” Rowan says. “The abundant nature ...

Getting started with aligning data management with AI development requires a unified governance approach. For instance, when I worked to deploy AI in customer service, it required balancing data ...

“Automating this process within ... Sengupta said. For instance, a global financial institution reduced its regulatory ...

In a rapidly evolving global market, navigating cross-border data privacy is more challenging than ever. Here’s how companies ...

Business value metrics. If you want business leaders to value investments in dataops, governance, and security, start with metrics that demonstrate the business value of reliable and timely data.

The foundation of effective risk management is data collected from business operations. Data is linked to two significant ...

AI-driven automation tools can assist with data classification, access control management, and regulatory compliance monitoring, helping institutions mitigate risks associated with data governance.

As governments focus on protecting personal data, various legislations have been enacted globally. In Europe, the General Data Protection Regulation (GDPR) is in effect, South Africa enforces the ...