Managing Costs To Realize The Potential Of Cloud And Generative AI
The great cloud migration of recent years isn’t over yet — plenty of organizations are still busy leveling up. But today the drive towards cloud adoption is more and more propelled by the desire to leverage the potential of AI — especially generative AI, says Tony Korolis, senior product marketing manager (Azure) at Microsoft, and the team has watched the shift happen in real time. His team manages two Azure offerings: Azure Migrate and Modernize & Azure Innovate which help customers accelerate their cloud aspirations.
“Customers have been asking not only for help in migrating their existing setup, but using the cloud to start taking advantage of AI, to build innovative new products and services,” says Korolis. He adds, “In the next year the number of AI-focused customers may overtake the number of migrating customers coming through our Azure offerings.”
It’s not just the need to jump onto this movement in our industry, Korolis adds. It’s seeing early adopters succeed in bringing to real life AI use cases that had previously just been conceptual, and seeing how they impact day-to-day business and the bottom line. Plus, cloud democratizes access to the kind of scalable, cost-effective computing power that AI demands, letting companies of any size seize that advantage.
But many companies are finding that it takes some discipline as an organization to fully realize the promise of cloud. “Many organizations launch cloud strategies simply assuming cost savings are automatically going to happen,” Korolis says. “But the cloud has more than just hard dollar costs, and it takes effort and governance to realize a return on your investment.”
This is an Insight article presented by Microsoft.