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Watch my extended interview with Ganoorkar to learn how generative AI drives greater efficiency in cloud migration, or read select interview highlights below.
To what extent can generative AI help with cloud migration? The question has become central to the cloud computing sector, as migrating a workload in the cloud is famously complicated. It requires numerous decisions involving complex tasks ranging from assessing compute power to setting up interoperability with new applications, and often requires shifting a legacy application—now held together with duct tape—to a cloud platform for which it wasn’t designed.
We know that generative AI can churn out text and graphics based on short prompts. But whether it can navigate the tangles of cloud migration is another thing entirely. Can generative AI help with a project this multifaceted? As it turns out, generative AI is already playing a growing role in cloud migration.
“The future of migration with generative AI will be around combining all the different aspects of regulatory requirements, security, compliance, productivity gains, efficiency and time reduction,” said Vikas Ganoorkar, Global Cloud Migration Leader for IBM Consulting. In his view, each of these tasks can be accomplished in a far more efficient manner with generative AI.
To learn more about how leading hyperscalers are using generative AI, see my interview with AWS’s Ankur Mehrotra on Building Generative AI Models