Companies spent $1.5 trillion on artificial intelligence in 2025, according to Gartner, yet 73% of enterprise data leaders rank data quality as the primary barrier to AI success, surpassing issues like model accuracy, compute costs, and talent. Additionally, 60% of companies report little to no value from their AI investments, indicating that poor data underlies these challenges.
Enterprise marketing teams manage stacks involving multiple systems, where leads flow from sources such as paid...