Riverbed, the leader in AIOps for observability, today announced the healthcare industry results from its Global Survey 'The Future of IT Operations in the AI Era'. Despite the st ...

Following the theme of data management, SSoT also needs standardized and accurate data to provide business results.

A global survey by Dun & Bradstreet highlights rising cyber threats and data quality issues in financial services, impacting AI adoption and decision-making. Despite increased risk mitigation spending ...

Data is the foundation of modern business strategy and the fuel for AI applications. It drives decision-making, optimizes operations, and creates personalized customer experiences, enabling businesses ...

AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

As artificial intelligence revolutionizes manufacturing, adoption of the technology is still hindered by challenges like data quality, legacy infrastructure and workforce adaptation. Advances in ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

Nutshell reports that transitioning from spreadsheets to CRM can be challenging due to data quality issues, longer timelines, ...