Data quality testing platform Soda Data NV today announced the launch of SodaGPT, a data management platform that uses generative artificial intelligence to help users define data quality expectations ...

An industry narrative is emerging that has the potential to exacerbate the structural flaws in digital advertising rather than usher us into a new paradigm. Some of our industry’s sharpest minds are ...

As ecommerce platforms continue to automate, the role of data is expanding beyond reporting. AI-driven systems do not simply ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

In the modern enterprise, data isn’t just a byproduct of systems—it’s the lifeblood of decisions, automation and innovation. Yet, as organizations accelerate their data ambitions, one truth becomes ...

The ad tech industry stands at a crossroads. After years of rapid growth driven by scale and efficiency, we face unprecedented challenges. Privacy regulations are ...

If artificial intelligence (AI) was a car, data would be the fuel. But what if there was no way to ensure that fuel wasn’t full of waste? How would this fuel be filtered, and how would that ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

The latest trends in software development from the Computer Weekly Application Developer Network. Data quality company Soda has launched SodaGPT, a generative Artificial intelligence (gen-AI) powered ...

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 ...

Data quality in healthcare can directly affect patient outcomes, physicians’ decision-making abilities and more. Unfortunately, there are many examples of data quality issues running rampant in ...