AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

Building and implementing an internal culture and strategy for effective data governance plans requires a mix of vendor management, establishing ownership responsibility, coordinating data sourcing ...

Generative AI introduces new risks, challenges, and opportunities for how organizations source and use data. Here are four ways data governance teams are rising to the occasion. Data governance was on ...

The Fourth Industrial Revolution is shaping up to be a metamorphosis involving radical change. Thanks to fast-increasing computing power, the internet and so many innovative automated and cognitive ...

Surveys from Workiva, Cisco and Wiingy highlight growing pressure on AI governance that some CFOs may want to address ...

Building a Winning Data Team: 6 Functions Needed for a Modern Enterprise Data Organization Your email has been sent By organizing their team into six general functions, data leaders can build an ...

For example, Internet of things (IoT) applications often involve ingest, ad hoc and analytics, and machine learning on batch and streaming data. And, next-best offer platforms may use machine learning ...

When the whole point of business intelligence (BI) and analytics is to bring disparate information together, it can be difficult to know which business unit or department should start the process. Yet ...