The United States is in a data quality crisis. This impacts everything, from productivity to AI. Here I’ll focus on the impact of bad data on customer service, which is also in crisis. I recently got ...

While the datasets are useful tools for training AI models, they do come with their own risks, from regulatory risks to ...

Artificial intelligence is only as strong as the data behind it. Healthcare leaders are working with their teams to build the infrastructure, governance, and culture necessary to support AI at scale.

Organizations addressing data quality issues as a strategic operation are positioned to adapt to latest trends and scale their businesses ...

Marketers suffer from a variety of negative consequences stemming from poor-quality data that collectively drains marketing resources and limits effectiveness. Wasted media spend is the most ...

To put it bluntly, performing extensive extract, transform and load (ETL) processes is a symptom of poorly managed data and a fundamental lack of a cogently developed data strategy. When data is ...

Challenges with data quality and data governance have plagued healthcare analytics efforts for decades – and the stakes are only getting higher in the age of AI. Inaccurate or inconsistent data ...

For all the talk of innovation and analytics, most business decisions still come down to trust. Can we trust what the numbers are telling us? Can we trust that our systems are secure? Can we trust the ...

61.6% of organizations have disconnected – when the AI isn’t aligned with an organization’s strategy – functional – operates at the functional or line-of-business level and somewhat connected with the ...

In a world where shiny AI data centers are popping up faster than affordable housing, and you can get a blueberry smoothie delivered from a robot while human delivery workers picket nearby for living ...

“Poor software quality costs $150+ billion per year in the US and over $500 billion worldwide” according to Capers Jones. Of those software quality issues, many come from poor test data quality.