In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

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 ...

In today’s fast-evolving world of AI, the importance of data quality cannot be overstated. As AI systems rely heavily on data for training, validation, and testing, the old saying “garbage in, garbage ...

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 fast-changing field of artificial intelligence (AI), the importance of high-quality data can’t be overstated. AI models are only as good as the data they’re trained on, and so poor data can ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

It has been estimated by MITSloan that the cumulative cost of inaccurate data is 15 to 25 per cent of revenue for most organisations. This is because poor quality data wastes resources, undermines ...

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 ...

In today's era of quick e-commerce, ordering anything is just a click away. Imagine ordering a crate of your favorite beer on a bright Sunday afternoon, and getting delivered in just 20 minutes. Upon ...