AI Transformation Hindered by Outdated Apps and Inefficient Data Management – Blocks and Files

Aging data infrastructure is significantly increasing the technical debt for companies, hindering their ability to adopt AI technologies. Research by Pegasystems suggests that two-thirds of organizations face challenges with legacy systems, which stifle innovation and competitive agility. Many companies rely on outdated applications—some over 50 years old—resulting in data being trapped and inaccessible within these systems. CTO Don Schuerman highlighted that legacy systems complicate data management and automation efforts, creating barriers to AI implementation. Companies struggle to balance improving front-end digital experiences while maintaining outdated back-end systems, often leading to trade-offs between agility and stability. Pegasystems proposes its live data integration solution to streamline data processes. The recent PegaWorld conference showcased their new Pega Agentic Process Fabric, designed to coordinate AI agents and data systems effectively, supporting standards that enhance developer capabilities in the Pega Infinity platform, thus aiming to reduce the gap in successful AI project deployments.

Source link