You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted?
Reliable and consistent data is the bedrock of a successful AI strategy. Incomplete or inconsistent data prompts GenAI models to propose equally unreliable outputs, calling the basic utility of these technologies into question. Therefore, addressing organizational data issues before AI adoption – not after – is key.
