The cloud’s role in the enterprise digital infrastructure has changed dramatically in recent years. What started off as a more cost-effective way to operate in a digital world has today become the only way to operate, innovate and get ahead. But while the cloud may have been commoditized, its importance in enabling differentiators – from agility to AI ability – cannot be overstated. In this Confluence session, Anant Adya, EVP, Infosys Cobalt quizzes HPE’s Paul Hunter and Genesys’ Raj Patel about why enterprises are only doubling down on cloud and how they’re adapting their cloud strategies for an equally disruptive technology – generative AI.
Key Takeaways
Hybrid is the Preferred Setup
The pendulum of cloud deployments has swung between private and public over the years. But as companies grapple with cost, speed and efficiency considerations, they have matured to embrace hybrid cloud environments for their flexibility.
Speed is the Only Constant
Helping companies build, test and go to market faster is still the cloud’s primary proposition. But as its role changes from optimization to creation, enterprises need to utilize the cloud to innovate quickly and disrupt before being disrupted.
Cloud is the Key to Generative AI
A solid cloud foundation enables powerful capabilities. As enterprises look to deploy generative AI applications, the cloud can help optimize data operations, train large data models, empower digital talent and build strong use cases.
AI is a Demanding Technology
While generative AI is placing several demands on digital infrastructure, one of its most significant repercussions is energy efficiency. For companies to utilize generative AI responsibly, finding partners that can deliver it cleanly is critical.
Cloud has moved beyond save and optimize to grow and disrupt.
