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 ...

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 ...

Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...

In today's financial landscape, fintechs, banks and other lenders need to make sound credit decisions in order to stay afloat. And one of the most important factors in making accurate credit decisions ...

We all understand the importance of data quality. Metrics—such as third-party validations, match rates, and accuracy scores—help us assess data quality on its own terms. Yet, too often, organizations ...

We are constantly hearing about the fact that the issue of data quality is rapidly moving up the corporate agenda to become a board level discussion – dawning the age of the Chief Data Officer. One of ...

Today’s consumers expect more than just functional brand interactions. They expect intelligent, personalized experiences delivered in real time. According to McKinsey, 71% of consumers expect ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.