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Sowmya
Podilla
Senior Data Scientist, Generative AI
Target
Sowmya Podila is a Senior Data Scientist in Generative Al at Target, where she leads initiatives in agentic Al, retrieval-augmented generation (RAG), and multi-modal large language models to power next- generation retail intelligence and creativity. Previously at AWS, she built and deployed machine learning and NLP solutions across healthcare, media, and retail, leveraging deep expertise in cloud-native Al architectures. With over six years of experience spanning ML, deep learning, and GenAl applications, Sowmya is passionate about advancing enterprise-scale Al systems that blend human creativity with data-driven intelligence.
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29 January 2026 15:00 - 15:30
Panel discussion | Building better agentic systems: memory, messaging, and control loops
As agents evolve from single-shot tools to autonomous collaborators, the real engineering challenges emerge: how they remember, communicate, and self-correct. This discussion brings together leaders advancing agent architectures to explore how memory systems, messaging protocols, and control loops are shaping reliability, coordination, and safety in next-gen AI.