Articles
Three tactics, working together, can help companies to automate data security at scale, as good metadata practices drive discoverability.
AI is founded on data that often has not been readied for the job, which highlights the need to prioritise data readiness as much as AI adoption.
Achieving data health and trust in data is ongoing and iterative, ensuring it provides a single, aligned view of the facts.
Pretty bad, if you’re honest. Here’s why and how it needs to be fixed to realise the benefits of the data revolution.