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 ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Ask any business or IT executive if high-quality data is important to the health of his organization, and the answer will be, “Of course.” But each day, organizations around the world use applications ...

Data quality is often the biggest issue for organizations looking to implement generative AI technologies, according to a new study from AvePoint. The SaaS solutions provider globally surveyed more ...

Data quality is becoming a hot button issue as more and more businesses aggressively move into artificial intelligence (AI)—both generative and operational—which requires massive amounts of accurate ...

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 ...

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 ...

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 ...

AI sales tools increase productivity and forecast accuracy, yet adoption gaps and data quality issues hinder widespread implementation..

As institutions embrace artificial intelligence to improve IT systems, a well-considered strategy can ensure a seamless ...