As organizations globally discover new opportunities created by AI, many are investing significantly in GenAI, including as part of their cloud modernization efforts.
They are using the considerable power of this fast-evolving technology to tackle the common challenges of cloud modernization, particularly in projects that involve the migration and modernization of legacy applications — a key enabler of digital and business transformation.
Many legacy applications were not designed for flexibility and scalability. Making changes to their code can be difficult, and they often can’t be integrated with other processes or applications. The fact that these applications were not born in the cloud makes efforts to update them laborious at best and sometimes impossible.
A primary benefit of cloud replatforming is that it gives organizations the flexibility to update, maintain or customize applications with extended functionality aimed at customers and employees. In this context, GenAI can be used to speed up release times. In fact, many organizations save up to 30% of the time from strategy to deployment by taking a modern approach to application modernization.
A faster time to market and a better customer experience
GenAI “copilots” are well-established in the world of software engineering and will continue to proliferate and evolve. More organizations and vendors are rolling out these coding agents to allow developers to fully automate or offload certain tasks.
Increasingly, organizations are also using GenAI in industry cloud deployments and component-based development, as it speeds up modernization and promotes code reusability — writing code in such a way that it may be reused in multiple development contexts with little or no modification required.
While this allows developers to build and deploy applications with ease, the value to the business is an improved speed to market and better customer experiences. Services are delivered faster and with stronger security and a higher degree of engagement, and it frees up skilled resources to focus on more strategic endeavors.
AI and GenAI optimize cloud architectures and cloud-native applications
GenAI is also proving adept at analyzing cloud architectures, suggesting optimal cloud configurations and identifying the most appropriate modernization approaches. More efficient workloads and processes allow organizations to reapply cost savings in other areas of the business.
Furthermore, cloud-native applications can be used to apply full-time AI-driven threat hunting, digital forensics and incident responses, as well as faster security orchestration and responses. The result is a more cybersecure enterprise.
Get ahead of the megatrend
Nearly two-thirds of organizations already see GenAI as a game-changing technology and a megatrend on a par with cloud computing, according to NTT DATA’s Global GenAI Report.
The early winners will be those who integrate it into both their culture and their roadmaps for cloud technology and application modernization. Get a copy of Winning big with AI-powered cloud modernization, a white paper published by CIO, NTT DATA and Microsoft.
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Source: News