As organizations increasingly adopt multi-cloud strategies, they face complex challenges, including vendor lock-in, inefficiencies in workload management, and mounting compliance demands. In his recent research paper, Using AI to Build Cloud-Agnostic Infrastructure: a Step toward True Multi-Cloud Flexibility, Nandakumar Ramachandran Pezhery introduces innovative AI-driven solutions to address these issues, paving the way for scalable, efficient, and secure cloud ecosystems.
The Shift toward Cloud-Agnostic InfrastructureTraditional cloud infrastructures often tie businesses to specific vendors, limiting flexibility and hindering operational efficiency. Nandakumar’s work demonstrates how AI can build cloud-agnostic systems capable of operating seamlessly across multiple cloud environments. By automating critical functions like workload allocation, infrastructure scaling, and resource optimization, his approach eliminates reliance on individual cloud providers.
For instance, AI models developed under his framework can analyze cloud performance metrics in real-time, dynamically assigning workloads to the most efficient and cost-effective platforms. This adaptability ensures organizations can pivot effortlessly between clouds, mitigating vendor lock-in risks and maximizing resource utilization.
Transforming Multi-Cloud Security …