In the fast-changing field of artificial intelligence (AI), the importance of high-quality data can’t be overstated.

To drive true business impact with GenAI, data quality strategies must be use-case-specific and aligned with business goals.

A new survey by Qlik® has uncovered significant risks in AI initiatives due to poor data quality and misaligned leadership ...

data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professionals working with AI in the U.S., revealing that AI initiatives are at serious risk due to ...

In today's digital environment, moving businesses to cloud computing is the hallmark of modernizing their data infrastructure ...

Leadership of digital IT marketing technology transformation falls under the expertise of Nishant Dave who brings extensive ...

AI has turned industries such as health and finance on their heads; however, the strength of AI very much depends upon a ...

Qlik® has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions, marking ...

Microsoft, IBM and Cisco are among the vendors backing the OASIS Data Provenance Standards Technical Committee announced last ...

In the last five years, more than 80% of businesses have had a data hack. Did you know that? Because AI systems handle vast ...

Data Quality is Not Being Prioritized on AI Projects, a Trend that 96% of U.S. Data Professionals Say Could Lead to Widespread Crises New Qlik research finds that 81% of companies still struggle ...