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    Breaking legacy application chains with AI: 10 key takeaways

    1 MIN

    Balance legacy systems and innovation

    Integrating modern AI technologies with legacy systems is a significant challenge, balancing the preservation of existing assets with embracing new efficiencies. This balance is vital to ensuring continuity in operations while tapping into the potential of AI-driven innovation. The key is to integrate AI to complement rather than overhaul legacy systems, thereby preserving established workflows while introducing new capabilities.

    Accelerate outcomes that achieve business impact with AI

    The urgent need for digital agility in today’s business landscape highlights the critical role of AI in transforming legacy systems. At an exclusive virtual roundtable, Pete Marston from IDC along with Dwayne Allen and Manju Naglapur from Unisys met with a small group of industry leaders. What resulted was a dynamic exchange about leveraging AI for modernizing, optimizing and exchanging legacy applications.

    Read this paper to discover 10 key takeaways offering practical knowledge and forward-thinking strategies in AI-driven modernization.

    Explore the findings

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