The promise of GenAI is often hindered by a fundamental and frequently overlooked prerequisite—robust data governance.

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 ...

Key Takeaways Artificial intelligence is being adopted at a remarkable pace. Enterprises now use AI in customer service, ...

Everyone is interested in getting more data. Few consider that more data is not always better if the quality is low. Quality assurance is an enormous problem, plaguing numerous organizations. In fact, ...

How can enterprises secure and manage the expanding ecosystem of AI applications that touch sensitive business data? Start with a governance framework. From automating workflows to unlocking new ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...

THE ARTICLES ON THESE PAGES ARE PRODUCED BY BUSINESS REPORTER, WHICH TAKES SOLE RESPONSIBILITY FOR THE CONTENTS ...

Ensuring data quality is an important aspect of data management and these days. DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever ...

In response both to the growth of data privacy regulations and to an increasing desire to leverage data for business insights, effective data governance tools are a must-have for organizations across ...

The Indian government will soon begin to assemble large sets of anonymised data under the National Data Governance Framework Policy: MoS Rajeev Chandrasekhar Considering the vibrant startup ecosystem ...