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 ...
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 ...
InfoWorld

Solving the data quality problem in generative AI

It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI. The potential of generative AI has captivated both businesses and ...
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 ...

Turning Clean Data Into A Growth Multiplier: How To Scale AI without Scaling Mistakes

Through his data-driven approach, Samuel delivered $2 million in incremental annual revenue — a remarkable 15% boost to the ...
Forbes

What Is High-Quality Data?

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...