The results are in – 92% of data leaders plan to make data observability a core part of their strategies in the next one to three years. Why is this becoming a key focus? Poor data quality, such as incomplete, biased or outdated data, can lead to flawed AI models, resulting in incorrect or harmful outputs.
So, data observability and data quality are critical if you want to build trustworthy AI initiatives.
