Data & AI Architecture

Achieving "resilience by design" and faster time-to-insight remains a critical challenge. Although 45% of organizations already work with near-real-time data, fewer than one in five feel successful at actually enabling faster insights, highlighting significant architectural bottlenecks in data quality and integration. This is why a "data quality first" approach is essential: 57% of companies cite improving trust in data accuracy and completeness as a top priority. Ultimately, capturing value at scale is still rare. In 2024, 74% of companies struggled to scale AI value, with only 22% moving beyond proof of concepts and just 4% generating substantial returns.