Capgemini Chief Executive Aiman Ezzat said companies hoping to deploy artificial intelligence at scale will first need to modernise decades-old technology systems, creating a multi-year investment cycle in data, software and infrastructure.

Legacy Systems a Major Obstacle

Ezzat stated that the biggest obstacle to wider AI adoption is not access to models, but legacy systems, fragmented data and complex technology estates built up over decades. He noted that many businesses are constrained by years of accumulated technical debt, leaving data scattered across incompatible systems and making it difficult for AI tools to access reliable information or execute tasks across an organisation.

Capgemini sees a “multi-year modernization supercycle” as companies upgrade the foundations needed to support AI across their operations, including data platforms, applications and core infrastructure. Ezzat said that AI is not only creating demand for new business capability, but also accelerating the modernization of the technology foundation on which those capabilities depend.

Original reporting: Appleton, WI News Feed (HLL/CB) — read the source article.