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 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 ...

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 ...

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 ...

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 ...

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 ...

Failed AI projects waste time and resources, damage reputations, and stifle innovation. To succeed with AI, put the necessary practices in place to ensure high-quality data. In 2023, enterprises ...