Oracle has long been the system of record for the enterprise. But in an era defined by AI, resilience, regulatory scrutiny, and cost discipline, yesterday’s infrastructure assumptions no longer hold.
For CIOs and CTOs, the challenge is not simply moving Oracle workloads to the cloud. It is designing an operating model that preserves performance and control while enabling faster innovation, better economics, and closer alignment between core data and modern cloud services.
That is why multicloud has become a strategic choice for enterprise leaders. Rather than forcing Oracle workloads into a one-size-fits-all model, organizations are adopting architectures that allow Oracle environments to run where they are best optimized, while integrating with hyperscaler platforms for AI, analytics, security, and application innovation.
The result is not more complexity, but more leverage, greater flexibility, lower concentration risk, improved cost visibility, and a stronger foundation for modernization.
With Oracle AI Database@Azure, supported by Infosys’ transformation-led migration approach, enterprises can modernize Oracle workloads with less disruption while unlocking new value from the data already at the center of the business.
Beyond cost and performance, time matters. Organizations that modernize their Oracle estate are closing the gap between idea and execution, bringing new capabilities to market in weeks, not months.
