Out-of-date apps block enterprise plans for AI adoption
Getting the most out of generative AI and other rising technology applications will require addressing pending upgrades.
What challenges do companies face in modernizing their apps?
According to a recent survey by Rackspace Technology, four in five executives believe that modernizing legacy apps and data is crucial for realizing the benefits of AI. The top challenges include limited resources, a lack of change culture, and integration difficulties. Other issues cited are the absence of a clear roadmap and communication gaps among stakeholders.
How does outdated technology affect AI adoption?
Outdated computing infrastructure can significantly slow down the adoption of emerging technologies like generative AI. As noted by EY's emerging technology leader, organizations running traditional data centers without advanced virtualization or cloud models find it more expensive and slower to implement next-gen technologies, which can impede overall progress.
Who is responsible for modernization projects?
Modernization initiatives are primarily managed by IT departments or members of the executive team. According to the Rackspace survey, only about 25% of organizations utilize cross-functional teams to handle these projects, which may limit the effectiveness and speed of modernization efforts.
Out-of-date apps block enterprise plans for AI adoption
published by Infusai
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