Why Data Quality Should Start At The Beginning, Not The End

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...
VentureBeat

Data downtime almost doubles as professionals struggle with quality issues, survey finds

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 ...
dbta

RESEARCH@DBTA: Survey: Data Quality and Governance Issues Hold Back AI

AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey ...
WatersTechnology

50% of firms are using AI or ML to spot data quality issues

About half of firms are using AI or machine learning-based techniques to spot data quality issues. Of 10 major banks and asset managers surveyed for our ongoing 2025 Automation in Data Management ...
Fast Company

Out of the bad data purgatory: How to solve the data challenges slowing your AI initiatives

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 ...
Business Wire

Data Quality is Not Being Prioritized on AI Projects, a Trend that 96% of U.S. Data Professionals Say Could Lead to Widespread Crises

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 ...
Devdiscourse

Digital farming push exposes gaps in agricultural data standards

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...
Forbes

CFOs: How To Prioritize Data Quality For Business Growth

Everyone understands data is important, but many business leaders don’t realize how impactful data quality can be on day-to-day operations. In my experience, nearly all process breakdowns have root ...
SiliconANGLE

Monte Carlo turns its gaze to unstructured data quality issues

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, ...
The EngineerOpinion

Comment: Why construction must prioritise data quality in 2026

Data quality is the key to AI-driven efficiency and compliance in construction. Industry-wide action is needed.
JD Supra

Data Quality Issues Within the Hazardous Waste e-MANIFEST System: Association for State and Territorial Solid Waste Management Officials Position Paper

The Association for State and Territorial Management Officials (“ASTSWMO”) published a position paper titled: DATA QUALITY ISSUES WITHIN THE HAZARDOUS WASTE e-MANIFEST SYSTEM (“Position Paper). The ...
Skift

How Data Quality Issues Impact Global Hospitality Operations

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 ...