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Daniel
Alvarez
Data Science Lead, Innovation Manager
Unicef
Daniel is a data scientist driven by a passion for using data to solve complex, real-world challenges for social good. With expertise in predictive modeling, financial risk management, and humanitarian aid delivery, his work spans economic litigation, policy implementation, and expense anomaly detection. He holds degrees from Brown, Columbia (SIPA), and UC Berkeley, blending economics, public administration, and data science. Skilled in Python, R, SQL, and AWS, Daniel applies advanced analytics to uncover insights across diverse domains. His mission is to bridge data and policy to design effective, evidence-based solutions that drive impact in both public and private sectors.
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29 May 2025 13:00 - 13:45
How large-scale organizations are using LLMs today
From finance to global development, LLMs are no longer experimental, they’re being integrated into critical workflows across industries. In this panel, leaders from large-scale organizations share how they’re deploying LLMs in production — from internal enablement and compliance to mission-driven applications that impact millions. You’ll hear: → Where LLMs are delivering tangible value in high-stakes environments. → How teams are navigating risk, governance, and operational complexity. → What it really takes to move from proof of concept to scalable, trusted systems. Whether you're scaling internally or building for enterprise clients, this session offers a grounded view into what it takes to make LLMs work in the real world.

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