Modernization-led cloud migration: The missing step in seizing the AI opportunity (www.techradar.com)

🤖 AI Summary
A recent report from Gartner predicts that by 2029, AI-related workloads on the cloud will experience a five-fold increase, consuming approximately 50% of all computational resources. This underscores the urgent need for businesses to undergo cloud migration and modernization to effectively leverage AI capabilities. Organizations that remain on legacy systems or have implemented superficial cloud migrations pose significant risks, as they cannot support the scalability and integration required for advanced AI applications. To successfully embrace this AI revolution, companies must take a systematic approach to assess and categorize their application portfolios. This involves identifying business-critical, enabling, and support applications to formulate an appropriate modernization strategy—options include rehosting, replatforming, refactoring, rearchitecting, or replacing applications. Establishing a structured governance framework, such as a Cloud Transformation Office, is crucial to guide the migration process and ensure that organizations transform their cloud infrastructure into a platform for innovation, enabling them to compete in the evolving AI landscape. Failure to modernize risks leaving organizations behind as the demand for AI-driven solutions rapidly escalates.
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