Artificial intelligence (AI) has emerged as a critical enabler of application modernization. AI-powered tools are revolutionizing how organizations refactor legacy code, migrate to the cloud, and optimize operational efficiency. The AI-driven application modernization market is experiencing significant growth as organizations increasingly integrate artificial intelligence to enhance and transform legacy systems. In 2024, the global AI software market is projected to be valued at $98 billion, with expectations to reach $391 billion by 2030.

Despite the promise of AI, one of the most persistent challenges remains: accessing legacy data stored in mainframe environments. While AI-driven tools can replatform applications and rewrite legacy code, they often struggle to integrate with mainframe data architectures.

Traditional methods like Extract, Transform, Load (ETL) processes and Change Data Capture (CDC) introduce complexity, cost, and performance bottlenecks that hinder modernization efforts.

VirtualZ Computing addresses this challenge by providing seamless, real-time access to mainframe data for modern cloud and AI environments—without the need for replication, transformation, or ETL pipelines. Although VirtualZ does not develop AI solutions or modernize applications directly, our technology eliminates one of the most significant barriers to modernization: ensuring reliable, secure, and efficient access to mainframe data.