This 15-minute lightning talk will explore how artificial intelligence and modern infrastructure are converging to redefine software scalability. As AI systems demand increasingly powerful compute, storage, and networking resources, they also drive innovations that make infrastructure more intelligent, adaptive, and efficient.

We’ll uncover how AI is transforming the software development lifecycle through intelligent automation, code generation, predictive testing, and AI-augmented DevOps while reshaping infrastructure architecture with specialized hardware (GPUs/TPUs), distributed systems, and edge computing for low-latency inference.

The session will also highlight how data performance and cost optimization evolve with AI-powered data center management, and continuous feedback loops. Finally, we’ll examine key challenges, ethical AI, compliance, and legacy integration and how organizations can overcome them through strategic planning, continuous learning, and responsible AI adoption.

Attendees will leave with a clear understanding of how to:

1.Build scalable software that learns, adapts, and optimizes itself
2.Architect resilient, high-performance AI infrastructure,
3.Balance innovation, efficiency, and responsibility in the age of intelligent systems.