Umashankar Lakshmipathy
CLOUD COMPUTING
Umashankar Lakshmipathy
EVP and Head of Cloud, Infrastructure and Security Services, EMEA
Infosys
“ Scaling cloud starts with recognising that its true power lies in its ability to converge with other leading technologies. AI, particularly the rise of advanced AI( Gen AI) and AI-centric strategies, coupled with edge computing and cybersecurity, create a synergy that sets the foundation. Businesses need a flexible cloud architecture that adapts to the ever-changing AI landscape to keep at the forefront of innovation.
To scale cloud with an AI-first approach means adopting effective cloud platforms that can manage large scale computing power while simultaneously ensuring secure access to open source and cloud-sourced models. It’ s key for businesses to embrace cloud-native architectures, hybrid and multi-cloud models, and intelligent workload management.
Focusing on workload optimisation, businesses can strategically place workloads across the cloud based on business needs and cloud provider strengths for optimal performance, cost-efficiency, and service assurance. By integrating AI and Machine Learning into the cloud organisations can further optimise security, resilience and agility and focus on innovation and speed-to-market.
What’ s clear is that to truly scale in the cloud organisations need to focus on innovation bringing together the power of AI, Machine Learning and other next generation technologies that will set the foundations for tangible business value.” technologymagazine. com 193