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 ...

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 ...

High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.

The data purgatory hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, and accessibility. Fast Company has put a spotlight on the make-or-break ...

Data is critical to every business, but when the volume of information and the complexity of pipelines grow, things are bound to break! According to a new survey of 200 data professionals working in ...

Sandesh Gawande, with 29+ years of experience in data and CEO of iceDQ: We engineer data reliability, because quality is never an accident. Organizations are investing heavily in AI and big data ...

Generative artificial intelligence (AI) is expected to see accelerated adoption in the next two years, with an overwhelming majority (97%) of organizations planning to invest in the technology. These ...

Data observability firm Monte Carlo Data Inc. is turning its attention to unstructured information, introducing a new capability that will allow enterprises to monitor the enormous volumes of text, ...

Stockholm-based startup Validio AB said today it has raised $30 million in funding to tackle one of the biggest problems holding back enterprises’ artificial intelligence projects: fixing the data ...

This content has been created by the Finextra editorial team with inputs from subject matter experts at the funding sponsor. Joining the FinextraTV virtual studio, Andrew Colombi, Co-Founder & CTO, ...

Data lays the foundation of modern B2B operations. It shapes everything starting from routine workflows to long-term strategic decisions. Yet, managing data quality remains the most persistent, yet ...