The ever-increasing use of generative AI is facing major obstacles due to data silos and poor data quality, as per a recent study by Alteryx. Despite 76% of IT leaders having faith in their data, a fifth of them report issues such as data distortions and inadequate data quality. This means that current data stacks may not be sufficient for a successful implementation of generative AI. Only 10% of respondents claim to have modern data stacks, with 47% actively working on system modernization. The study also highlights the lack of central data management and organization, hindering innovation. With companies striving to optimize data results and improve data quality, inflexible IT strategies could potentially limit significant innovations. #AIDataChallenges 🤖
Can companies change their approach to data management to fully embrace the potential of generative AI?