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AI adoption hinges on modernizing legacy IT infrastructure

Modernizing outdated IT infrastructure is crucial for organizations to effectively leverage artificial intelligence. Many companies attempt to implement AI on legacy systems not designed for current demands like cloud computing and real-time data access. This approach often leads to increased complexity, new risks, and stalled AI pilot projects, as the underlying foundations are not robust enough to support advanced technologies. Incremental modernization, rather than a complete overhaul, is presented as a safer and more realistic path forward, especially in sectors like financial services. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Organizations must prioritize IT infrastructure modernization to unlock the full potential of AI and avoid stalled pilot projects.

RANK_REASON The article is an opinion piece by a CEO discussing the importance of IT infrastructure for AI adoption, rather than a direct announcement of a new AI model, product, or significant industry event.

Read on Forbes — Innovation →

AI adoption hinges on modernizing legacy IT infrastructure

COVERAGE [1]

  1. Forbes — Innovation TIER_1 · Daniela Binatti, Forbes Councils Member ·

    Why Infrastructure Modernization Is The Real Enabler Of AI

    Many organizations are trying to leverage modern technology on infrastructure that was built decades ago.