Marketers suffer from a variety of negative consequences stemming from poor-quality data that collectively drains marketing resources and limits effectiveness. Wasted media spend is the most ...

While the datasets are useful tools for training AI models, they do come with their own risks, from regulatory risks to ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Organizations addressing data quality issues as a strategic operation are positioned to adapt to latest trends and scale their businesses ...

When executives talk about cost, they usually mean capital, labor or raw materials. But there’s another line item quietly eating into profits: bad data. It doesn’t show up on the balance sheet. It ...

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 ...

PHILADELPHIA--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professionals working with AI ...

Businesses base decisions on their current and future data. To steer a company in the right direction, leaders should maintain data integrity.

Challenges with data quality and data governance have plagued healthcare analytics efforts for decades – and the stakes are only getting higher in the age of AI. Inaccurate or inconsistent data ...

Poor Simulation Data Is Sabotaging Digital Twin Innovation: How to Fix It Your email has been sent The costs of poor data quality in digital twin development What strong data foundations look like ...

Most data center operators still aren’t tracking carbon emissions and other key environmental data, a new report found, raising questions about the credibility of their sustainability claims. The data ...