Architecting Scalable Clouds: Integrating AI

As cloud architectures evolve, AI is quickly becoming a foundational component rather than an add-on.

This session explores the architectural principles behind building scalable hybrid clouds and shows how AI can elevate them—from predictive scaling to intelligent workload optimization. We’ll look at patterns already emerging in the industry and map out a clear approach for designing resilient, AI-augmented systems that are ready for the next wave of innovation.


Sumir Arora

About Sumir Arora

With over 14 years of experience in cloud computing and integration, I am an VP and Sr. Solution Architect at Gemini Solutions, a leading IT services company. I hold multiple AWS certifications, including Solutions Architect Professional, SysOps Administrator Associate, and Solutions Architect Associate, as well as expertise in Azure, DevOps, Mulesoft, and Kubernetes.

I lead a team of engineers and architects in designing, developing, and deploying cloud-based solutions for various clients across industries, using Infrastructure as Code (IaC), GitOps, Azure Kubernetes Service (AKS), MuleSoft Flex Gateway,MuleSoft RTF, and MQ/Kafka. I also collaborate with other teams and stakeholders to ensure the quality, scalability, security, and performance of the solutions, as well as alignment with the business requirements and goals. My mission is to deliver innovative, reliable, and cost-effective cloud and integration solutions that enable digital transformation and business growth.

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