The research highlights several key data-related challenges. Integrating data from various sources proves difficult for 64 % of adopters, while 59 % find it challenging to enforce data governance. Measuring and monitoring data quality also presents a hurdle for 59 % and 58 % struggle with general data preparation.
Scaling storage and compute resources efficiently is a concern for 54 % of respondents. These barriers prevent businesses from fully leveraging their data assets. Overcoming these obstacles with a unified and well-governed data platform like Snowflake is crucial for achieving more accurate, relevant, and impactful AI outcomes.
“ The rapid pace of AI is only accelerating the need for organisations to consolidate all of their data in a well-governed fashion,” says Artin Avanes, Head of Core Data Platform, Snowflake.“ Having an easy, connected and trusted data platform like Snowflake is imperative not just for helping users see faster returns on their data investments, but it lays the foundation for users to easily scale their AI apps in a compliant and secure manner – without requiring specialised or hard to find technical skills.
“ A managed, interoperable data platform provides seamless business continuity as global enterprises tap into their entire data estate to lead in the evolving AI landscape.”
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