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In this talk, you will learn practical lessons from taking AI ideas from prototype to production, including architecture decisions, cost considerations, reliability, and integration into existing systems. The session focuses on what actually works in real engineering environments and what teams should watch out for when moving beyond experiments.
Key Takeaways from this talk:

What changes when AI moves from demo to real production use

Common pitfalls in building and scaling AI features at work

Practical ways to design reliable and cost-aware AI applications

Agenda

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Speaker

Sowjanya Pandruju - AWS (Cloud Architect)

Sowjanya Pandruju is a cloud application architect at AWS with over 13 years of software development experience. She specializes in cloud native development, AI/ML integration, serverless computing and event-driven architecture. As a senior staff engineer and architect, she has led large-scale cloud migrations from on-premises systems to AWS, delivering significant cost reductions and operatio…

Hosted By

Naveen VK, Technical Director

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-madison-presents-building-real-ai-apps-at-work-lessons-beyond-demos/.

Sponsors

Google

Google

Covers the Meetup fees and provides support through the GDG program

Bendyworks

Bendyworks

Provides space and food

Propeller

Propeller

Provides space and food

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