Enterprise AI adoption is growing rapidly, with 88% of organizations using AI to enhance efficiency, customer experience, and analytics. However, outdated data infrastructures remain a major barrier to realizing AI’s full potential. A survey by Cloudera and Researchscape of 600 IT leaders found that integration costs, data storage expenses, and security risks hinder AI scalability. Modern data architectures, such as data lakehouses, offer solutions by improving security, accessibility, and governance. With reliable data, enterprises can future-proof AI strategies, drive innovation, and maintain competitiveness. AI success ultimately depends on a strong, scalable data foundation.

Join for free to read