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Explore the development of a fall detection system for aged care through this 16-minute conference talk from AWS re:Invent 2025. Learn how to define and build a Minimum Lovable Product (MLP) while navigating the challenges of early-stage startup development, particularly when priorities shift during the product-market fit stage. Discover the critical importance of understanding end-user personas in aged care settings and examine key architectural decisions for IoT-based fall detection systems. Compare MVP versus MLP approaches and analyze solution architecture considerations including batch versus real-time querying requirements. Understand the complexities of implementing real-time alerting systems, explore various data partitioning strategies, and evaluate the tradeoffs involved in capturing and analyzing data from IoT sensors deployed in home and aged care environments. Gain insights into the technical and business decisions that shape healthcare technology solutions for vulnerable populations.
