"AI readiness has become a critical business goal. Recent research from IDC found that IT budgets currently flex to earmark an average of 25-30% for IT modernization, and the top priority of these projects is to become AI-ready at an infrastructural level within the next two years. Despite these targets, delays and hidden problems can often emerge, preventing enterprises from unlocking true return on investment (ROI). Fragmented data, infrastructural blind spots, and outdated governance procedures consistently rank as the top impediment to success."
"Any AI initiative can only be as effective as the data it has access to. With data generated globally expected to exceed 394 zettabytes by 2028, the real need is not more data but contextualized data that is visible to the right applications. The majority of enterprises house their data across mainframes, cloud platforms, and distributed environments, meaning that the likelihood of blind spots is high."
IT budgets currently allocate an average of 25-30% to IT modernization, with the top priority being AI-readiness at the infrastructural level within two years. Delays and hidden problems often prevent enterprises from achieving ROI, with fragmented data, infrastructural blind spots, and outdated governance as primary impediments. Critical infrastructural work is required so organizations can prepare for AI initiatives. Channel partners serve as conduits between vendors and businesses and can leverage market knowledge to help enterprises build foundations for AI. Contextualized data visibility is essential, as data growth approaches 394 zettabytes by 2028 and many organizations hold data across mainframes, cloud, and distributed environments causing silos.
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