Organizations across industries recognize AI’s potential, but many are still early in their adoption journey, with data-related challenges remaining the primary barrier to success. Key concerns include data quality (61%), data security (54%), data governance (52%), data bias (35.5%), and data availability (29%), highlighting the importance of building a strong data foundation before scaling AI initiatives. Beyond data challenges, IT leaders also cite skills shortages, implementation costs, and security risks as significant obstacles. Despite these concerns, interest in Generative AI remains exceptionally strong, with 74.8% of organizations planning implementation within the next year due to its perceived business value and innovation potential. However, regulatory compliance and governance

Join for free to read