Can your organization turn technology change into lasting business value?
The biggest modernization mistake I see is treating cloud migration as the end of transformation.
What happens after a successful migration when attention moves on, teams disperse, and technical debt, fragmented data, and slow delivery begin to rebuild?
My view: AI readiness is customer readiness. It depends on continually improving the applications, data, infrastructure, and processes that shape customer and employee experiences.
This is why I find what
@AWS is doing with modernization so relevant. AWS Transform, the first agentic AI service built for enterprise modernization, is helping organizations like
@thomsonreuters and
@ADP turn legacy complexity into measurable outcomes: 30%+ cost reductions, 80% faster rule extraction, and a foundation for AI-powered products at scale.
In the latest
#CXOSpice newsletter, I explore why modernization stalls after migration, the signals that technical constraints are becoming business constraints, and how leaders can make modernization a continuous capability.
Read:
linkedin.com/pulse/continuou…
Learn more about
@AWS Transform:
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@AWS